{
  "session_id": "cron_5063251e7794_20260415_170716",
  "model": "qwen3.5-plus",
  "base_url": "https://coding.dashscope.aliyuncs.com/v1",
  "platform": "cron",
  "session_start": "2026-04-15T17:07:17.374381",
  "last_updated": "2026-04-15T17:09:15.419175",
  "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n<available_skills>\n  autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n    - claude-code: Delegate coding tasks to Claude Code (Anthropic's CLI age...\n    - codex: Delegate coding tasks to OpenAI Codex CLI agent. Use for ...\n    - hermes-agent: Complete guide to using and extending Hermes Agent — CLI ...\n    - opencode: Delegate coding tasks to OpenCode CLI agent for feature i...\n  creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n    - ascii-art: Generate ASCII art using pyfiglet (571 fonts), cowsay, bo...\n    - ascii-video: Production pipeline for ASCII art video — any format. Con...\n    - creative-ideation: Generate project ideas through creative constraints. Use ...\n    - excalidraw: Create hand-drawn style diagrams using Excalidraw JSON fo...\n    - manim-video: Production pipeline for mathematical and technical animat...\n    - p5js: Production pipeline for interactive and generative visual...\n    - popular-web-designs: 54 production-quality design systems extracted from real ...\n    - songwriting-and-ai-music: Songwriting craft, AI music generation prompts (Suno focu...\n  data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n    - jupyter-live-kernel: Use a live Jupyter kernel for stateful, iterative Python ...\n  devops:\n    - tencent-ssl-nginx-management: Manage SSL certificates with Tencent Cloud DNS and update...\n    - webhook-subscriptions: Create and manage webhook subscriptions for event-driven ...\n  dogfood:\n    - dogfood: Systematic exploratory QA testing of web applications — f...\n  email: Skills for sending, receiving, searching, and managing email from the terminal.\n    - himalaya: CLI to manage emails via IMAP/SMTP. Use himalaya to list,...\n  gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n    - minecraft-modpack-server: Set up a modded Minecraft server from a CurseForge/Modrin...\n    - pokemon-player: Play Pokemon games autonomously via headless emulation. S...\n  github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n    - codebase-inspection: Inspect and analyze codebases using pygount for LOC count...\n    - github-auth: Set up GitHub authentication for the agent using git (uni...\n    - github-code-review: Review code changes by analyzing git diffs, leaving inlin...\n    - github-issues: Create, manage, triage, and close GitHub issues. Search e...\n    - github-pr-workflow: Full pull request lifecycle — create branches, commit cha...\n    - github-repo-management: Clone, create, fork, configure, and manage GitHub reposit...\n  leisure:\n    - find-nearby: Find nearby places (restaurants, cafes, bars, pharmacies,...\n  mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Includes the built-in native MCP client (configure servers in config.yaml for automatic tool discovery) and the mcporter CLI bridge for ad-hoc server interaction.\n    - mcporter: Use the mcporter CLI to list, configure, auth, and call M...\n    - native-mcp: Built-in MCP (Model Context Protocol) client that connect...\n  media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n    - gif-search: Search and download GIFs from Tenor using curl. No depend...\n    - heartmula: Set up and run HeartMuLa, the open-source music generatio...\n    - songsee: Generate spectrograms and audio feature visualizations (m...\n    - youtube-content: Fetch YouTube video transcripts and transform them into s...\n  mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n    - automated-news-cronjob: 创建定时任务，自动抓取指定网站内容、总结并推送到消息渠道\n    - buzzing-news-scraper: Buzzing.cc 新闻抓取与总结 - 从 Buzzing.cc 获取国外新闻头条并生成中文摘要\n    - daily-news-scraper: 基于浏览器自动化的每日新闻抓取、总结并推送到消息渠道的完整流程\n    - eastmoney-fin-data: 基于东方财富权威数据库的金融数据查询工具，支持行情、财务及关联关系数据。\n    - eastmoney-fin-search: 基于东方财富妙想搜索能力，用于获取涉及时效性信息或特定事件信息的任务，包括新闻、公告、研报、政策等。\n    - eastmoney-stock-simulator: 股票模拟组合管理系统，支持持仓查询、买卖操作、撤单、委托查询、历史成交查询和资金查询。\n    - freshrss-chinese-digest: FreshRSS RSS 订阅内容翻译与中文摘要 - 将英文 RSS 内容翻译成中文后生成摘要推送\n    - freshrss-new-article-monitor: FreshRSS 新文章监控与推送 - 浏览器自动化检查指定订阅源的新文章并推送到消息渠道\n    - freshrss-subscription-analysis: FreshRSS 订阅源分析与管理 - 浏览器自动化提取订阅数据、分类统计、内容分析和优化建议\n    - freshrss-subscription-management: FreshRSS 订阅源管理 - 批量添加、删除、清理订阅源和分类的完整流程\n    - huggingface-hub: Hugging Face Hub CLI (hf) — search, download, and upload ...\n    - llm-pricing-comparison: 大模型定价对比与套餐选择指南 - 帮助用户根据使用需求和预算选择合适的大模型服务\n    - mx-select-stock: 基于股票选股条件（行情指标、财务指标等）筛选满足条件的股票，支持行业/板块选股、成分股查询。\n    - mx-self-select: 基于东方财富通行证账户数据及行情底层数据构建，支持通过自然语言查询、添加、删除自选股。\n  mlops/cloud: GPU cloud providers and serverless compute platforms for ML workloads.\n    - modal: Serverless GPU cloud platform for running ML workloads. U...\n  mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n    - lm-evaluation-harness: Evaluates LLMs across 60+ academic benchmarks (MMLU, Huma...\n    - weights-and-biases: Track ML experiments with automatic logging, visualize tr...\n  mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n    - gguf: GGUF format and llama.cpp quantization for efficient CPU/...\n    - guidance: Control LLM output with regex and grammars, guarantee val...\n    - llama-cpp: Runs LLM inference on CPU, Apple Silicon, and consumer GP...\n    - obliteratus: Remove refusal behaviors from open-weight LLMs using OBLI...\n    - outlines: Guarantee valid JSON/XML/code structure during generation...\n    - vllm: Serves LLMs with high throughput using vLLM's PagedAttent...\n  mlops/models: Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).\n    - audiocraft: PyTorch library for audio generation including text-to-mu...\n    - clip: OpenAI's model connecting vision and language. Enables ze...\n    - segment-anything: Foundation model for image segmentation with zero-shot tr...\n    - stable-diffusion: State-of-the-art text-to-image generation with Stable Dif...\n    - whisper: OpenAI's general-purpose speech recognition model. Suppor...\n  mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n    - dspy: Build complex AI systems with declarative programming, op...\n  mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n    - axolotl: Expert guidance for fine-tuning LLMs with Axolotl - YAML ...\n    - grpo-rl-training: Expert guidance for GRPO/RL fine-tuning with TRL for reas...\n    - peft: Parameter-efficient fine-tuning for LLMs using LoRA, QLoR...\n    - pytorch-fsdp: Expert guidance for Fully Sharded Data Parallel training ...\n    - trl-fine-tuning: Fine-tune LLMs using reinforcement learning with TRL - SF...\n    - unsloth: Expert guidance for fast fine-tuning with Unsloth - 2-5x ...\n  note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n    - obsidian: Read, search, and create notes in the Obsidian vault.\n  openclaw-imports:\n    - agent-browser: A fast Rust-based headless browser automation CLI with No...\n    - agent-browser-stagehand: Automate web browser interactions using natural language ...\n    - algorithmic-art: Creating algorithmic art using p5.js with seeded randomne...\n    - brand-guidelines: Applies Anthropic's official brand colors and typography ...\n    - browser-automation: Automate web browser interactions using natural language ...\n    - canvas-design: Create beautiful visual art in .png and .pdf documents us...\n    - context-optimization: A comprehensive collection of Agent Skills for context en...\n    - file-search: Fast file-name and content search using `fd` and `rg` (ri...\n    - find-skills: Helps users discover and install agent skills when they a...\n    - frontend-design: Create distinctive, production-grade frontend interfaces ...\n    - github: Interact with GitHub using the `gh` CLI. Use `gh issue`, ...\n    - notebooklm-skill: Use this skill to query your Google NotebookLM notebooks ...\n    - notion: Notion API for creating and managing pages, databases, an...\n    - obsidian: Work with Obsidian vaults (plain Markdown notes) and auto...\n    - skill-creator: Create new skills, modify and improve existing skills, an...\n    - skillhub-preference: Prefer `skillhub` for skill discovery/install/update, the...\n    - stagehand-browser-cli: Automate web browser interactions using natural language ...\n    - stock-momentum-agent: Marcus - 华尔街高级日内交易策略师，生成每日动量报告\n    - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n    - tavily-search: AI-optimized web search via Tavily API. Returns concise, ...\n    - tencentcloud-lighthouse-skill: Manage Tencent Cloud Lighthouse (轻量应用服务器) — auto-setup mc...\n    - theme-factory: Toolkit for styling artifacts with a theme. These artifac...\n    - weather: Get current weather and forecasts (no API key required).\n    - web-artifacts-builder: Suite of tools for creating elaborate, multi-component cl...\n  openclaw-imports/context-optimization:\n    - template: Template for creating new Agent Skills for context engine...\n  openclaw-imports/context-optimization/examples:\n    - book-sft-pipeline: This skill should be used when the user asks to \"fine-tun...\n    - digital-brain-skill: This skill should be used when the user asks to \"write a ...\n    - interleaved-thinking: Debug and optimize AI agents by analyzing reasoning trace...\n  openclaw-imports/context-optimization/examples/interleaved-thinking/generated_skills:\n    - comprehensive-research-agent: Ensure thorough validation, error recovery, and transpare...\n  openclaw-imports/context-optimization/skills:\n    - advanced-evaluation: This skill should be used when the user asks to \"implemen...\n    - bdi-mental-states: This skill should be used when the user asks to \"model ag...\n    - context-compression: This skill should be used when the user asks to \"compress...\n    - context-degradation: This skill should be used when the user asks to \"diagnose...\n    - context-fundamentals: This skill should be used when the user asks to \"understa...\n    - context-optimization: This skill should be used when the user asks to \"optimize...\n    - evaluation: This skill should be used when the user asks to \"evaluate...\n    - filesystem-context: This skill should be used when the user asks to \"offload ...\n    - hosted-agents: This skill should be used when the user asks to \"build ba...\n    - memory-systems: Guides implementation of agent memory systems, compares p...\n    - multi-agent-patterns: This skill should be used when the user asks to \"design m...\n    - project-development: This skill should be used when the user asks to \"start an...\n    - tool-design: This skill should be used when the user asks to \"design a...\n  productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n    - google-workspace: Gmail, Calendar, Drive, Contacts, Sheets, and Docs integr...\n    - linear: Manage Linear issues, projects, and teams via the GraphQL...\n    - nano-pdf: Edit PDFs with natural-language instructions using the na...\n    - notion: Notion API for creating and managing pages, databases, an...\n    - ocr-and-documents: Extract text from PDFs and scanned documents. Use web_ext...\n    - powerpoint: Use this skill any time a .pptx file is involved in any w...\n  red-teaming:\n    - godmode: Jailbreak API-served LLMs using G0DM0D3 techniques — Pars...\n  research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n    - arxiv: Search and retrieve academic papers from arXiv using thei...\n    - blogwatcher: Monitor blogs and RSS/Atom feeds for updates using the bl...\n    - llm-wiki: Karpathy's LLM Wiki — build and maintain a persistent, in...\n    - polymarket: Query Polymarket prediction market data — search markets,...\n  smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n    - openhue: Control Philips Hue lights, rooms, and scenes via the Ope...\n  social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n    - xitter: Interact with X/Twitter via the x-cli terminal client usi...\n  software-development:\n    - plan: Plan mode for Hermes — inspect context, write a markdown ...\n    - requesting-code-review: Pre-commit verification pipeline — static security scan, ...\n    - subagent-driven-development: Use when executing implementation plans with independent ...\n    - systematic-debugging: Use when encountering any bug, test failure, or unexpecte...\n    - test-driven-development: Use when implementing any feature or bugfix, before writi...\n    - writing-plans: Use when you have a spec or requirements for a multi-step...\n</available_skills>\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Wednesday, April 15, 2026 05:07 PM\nModel: qwen3.5-plus\nProvider: alibaba\n\nYou are powered by the model named qwen3.5-plus. The exact model ID is qwen3.5-plus. When asked what model you are, always answer based on this information, not on any model name returned by the API.\n\nYou are running as a scheduled cron job. There is no user present — you cannot ask questions, request clarification, or wait for follow-up. Execute the task fully and autonomously, making reasonable decisions where needed. Your final response is automatically delivered to the job's configured destination — put the primary content directly in your response.",
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "browser_back",
        "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {},
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_click",
        "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
            }
          },
          "required": [
            "ref"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_console",
        "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
        "parameters": {
          "type": "object",
          "properties": {
            "clear": {
              "type": "boolean",
              "default": false,
              "description": "If true, clear the message buffers after reading"
            },
            "expression": {
              "type": "string",
              "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_get_images",
        "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {},
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_navigate",
        "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
        "parameters": {
          "type": "object",
          "properties": {
            "url": {
              "type": "string",
              "description": "The URL to navigate to (e.g., 'https://example.com')"
            }
          },
          "required": [
            "url"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_press",
        "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "key": {
              "type": "string",
              "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
            }
          },
          "required": [
            "key"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_scroll",
        "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "direction": {
              "type": "string",
              "enum": [
                "up",
                "down"
              ],
              "description": "Direction to scroll"
            }
          },
          "required": [
            "direction"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_snapshot",
        "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
        "parameters": {
          "type": "object",
          "properties": {
            "full": {
              "type": "boolean",
              "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
              "default": false
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_type",
        "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e3')"
            },
            "text": {
              "type": "string",
              "description": "The text to type into the field"
            }
          },
          "required": [
            "ref",
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_vision",
        "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA:<screenshot_path> in your response. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "What you want to know about the page visually. Be specific about what you're looking for."
            },
            "annotate": {
              "type": "boolean",
              "default": false,
              "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "delegate_task",
        "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items. All run concurrently and results are returned together.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- Subagents CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
        "parameters": {
          "type": "object",
          "properties": {
            "goal": {
              "type": "string",
              "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
            },
            "context": {
              "type": "string",
              "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
            },
            "toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'cronjob', 'file', 'homeassistant', 'image_gen', 'search', 'session_search', 'skills', 'terminal', 'todo', 'tts', 'vision', 'web'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
            },
            "tasks": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "goal": {
                    "type": "string",
                    "description": "Task goal"
                  },
                  "context": {
                    "type": "string",
                    "description": "Task-specific context"
                  },
                  "toolsets": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Toolsets for this specific task. Available: 'browser', 'cronjob', 'file', 'homeassistant', 'image_gen', 'search', 'session_search', 'skills', 'terminal', 'todo', 'tts', 'vision', 'web'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
                  },
                  "acp_command": {
                    "type": "string",
                    "description": "Per-task ACP command override (e.g. 'claude'). Overrides the top-level acp_command for this task only."
                  },
                  "acp_args": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Per-task ACP args override."
                  }
                },
                "required": [
                  "goal"
                ]
              },
              "description": "Batch mode: tasks to run in parallel (limit configurable via delegation.max_concurrent_children, default 3). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
            },
            "max_iterations": {
              "type": "integer",
              "description": "Max tool-calling turns per subagent (default: 50). Only set lower for simple tasks."
            },
            "acp_command": {
              "type": "string",
              "description": "Override ACP command for child agents (e.g. 'claude', 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Enables spawning Claude Code (claude --acp --stdio) or other ACP-capable agents from any parent, including Discord/Telegram/CLI."
            },
            "acp_args": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Example: ['--acp', '--stdio', '--model', 'claude-opus-4-6']"
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "execute_code",
        "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n  read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n    Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n  write_file(path: str, content: str) -> dict\n    Always overwrites the entire file.\n  search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n    target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n  patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n    Replaces old_string with new_string in the file.\n  terminal(command: str, timeout=None, workdir=None) -> dict\n    Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n  json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n  shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n  retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
        "parameters": {
          "type": "object",
          "properties": {
            "code": {
              "type": "string",
              "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
            }
          },
          "required": [
            "code"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "memory",
        "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "add",
                "replace",
                "remove"
              ],
              "description": "The action to perform."
            },
            "target": {
              "type": "string",
              "enum": [
                "memory",
                "user"
              ],
              "description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
            },
            "content": {
              "type": "string",
              "description": "The entry content. Required for 'add' and 'replace'."
            },
            "old_text": {
              "type": "string",
              "description": "Short unique substring identifying the entry to replace or remove."
            }
          },
          "required": [
            "action",
            "target"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "patch",
        "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique string and replace it.\nPatch mode: apply V4A multi-file patches for bulk changes.",
        "parameters": {
          "type": "object",
          "properties": {
            "mode": {
              "type": "string",
              "enum": [
                "replace",
                "patch"
              ],
              "description": "Edit mode: 'replace' for targeted find-and-replace, 'patch' for V4A multi-file patches",
              "default": "replace"
            },
            "path": {
              "type": "string",
              "description": "File path to edit (required for 'replace' mode)"
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'replace' mode). Must be unique in the file unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'replace' mode). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "Replace all occurrences instead of requiring a unique match (default: false)",
              "default": false
            },
            "patch": {
              "type": "string",
              "description": "V4A format patch content (required for 'patch' mode). Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
            }
          },
          "required": [
            "mode"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "process",
        "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "list",
                "poll",
                "log",
                "wait",
                "kill",
                "write",
                "submit",
                "close"
              ],
              "description": "Action to perform on background processes"
            },
            "session_id": {
              "type": "string",
              "description": "Process session ID (from terminal background output). Required for all actions except 'list'."
            },
            "data": {
              "type": "string",
              "description": "Text to send to process stdin (for 'write' and 'submit' actions)"
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
              "minimum": 1
            },
            "offset": {
              "type": "integer",
              "description": "Line offset for 'log' action (default: last 200 lines)"
            },
            "limit": {
              "type": "integer",
              "description": "Max lines to return for 'log' action",
              "minimum": 1
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "read_file",
        "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to read (absolute, relative, or ~/path)"
            },
            "offset": {
              "type": "integer",
              "description": "Line number to start reading from (1-indexed, default: 1)",
              "default": 1,
              "minimum": 1
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of lines to read (default: 500, max: 2000)",
              "default": 500,
              "maximum": 2000
            }
          },
          "required": [
            "path"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "search_files",
        "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
        "parameters": {
          "type": "object",
          "properties": {
            "pattern": {
              "type": "string",
              "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
            },
            "target": {
              "type": "string",
              "enum": [
                "content",
                "files"
              ],
              "description": "'content' searches inside file contents, 'files' searches for files by name",
              "default": "content"
            },
            "path": {
              "type": "string",
              "description": "Directory or file to search in (default: current working directory)",
              "default": "."
            },
            "file_glob": {
              "type": "string",
              "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of results to return (default: 50)",
              "default": 50
            },
            "offset": {
              "type": "integer",
              "description": "Skip first N results for pagination (default: 0)",
              "default": 0
            },
            "output_mode": {
              "type": "string",
              "enum": [
                "content",
                "files_only",
                "count"
              ],
              "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
              "default": "content"
            },
            "context": {
              "type": "integer",
              "description": "Number of context lines before and after each match (grep mode only)",
              "default": 0
            }
          },
          "required": [
            "pattern"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "session_search",
        "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
            },
            "role_filter": {
              "type": "string",
              "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
            },
            "limit": {
              "type": "integer",
              "description": "Max sessions to summarize (default: 3, max: 5).",
              "default": 3
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_manage",
        "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "create",
                "patch",
                "edit",
                "delete",
                "write_file",
                "remove_file"
              ],
              "description": "The action to perform."
            },
            "name": {
              "type": "string",
              "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
            },
            "content": {
              "type": "string",
              "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
            },
            "category": {
              "type": "string",
              "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
            },
            "file_path": {
              "type": "string",
              "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
            },
            "file_content": {
              "type": "string",
              "description": "Content for the file. Required for 'write_file'."
            }
          },
          "required": [
            "action",
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_view",
        "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
        "parameters": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "The skill name (use skills_list to see available skills)"
            },
            "file_path": {
              "type": "string",
              "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
            }
          },
          "required": [
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skills_list",
        "description": "List available skills (name + description). Use skill_view(name) to load full content.",
        "parameters": {
          "type": "object",
          "properties": {
            "category": {
              "type": "string",
              "description": "Optional category filter to narrow results"
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "terminal",
        "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n  (1) Long-lived processes that never exit (servers, watchers).\n  (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
        "parameters": {
          "type": "object",
          "properties": {
            "command": {
              "type": "string",
              "description": "The command to execute on the VM"
            },
            "background": {
              "type": "boolean",
              "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
              "default": false
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
              "minimum": 1
            },
            "workdir": {
              "type": "string",
              "description": "Working directory for this command (absolute path). Defaults to the session working directory."
            },
            "pty": {
              "type": "boolean",
              "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
              "default": false
            },
            "notify_on_complete": {
              "type": "boolean",
              "description": "When true (and background=true), you'll be automatically notified when the process finishes — no polling needed. Use this for tasks that take a while (tests, builds, deployments) so you can keep working on other things in the meantime.",
              "default": false
            },
            "watch_patterns": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "List of strings to watch for in background process output. When any pattern matches a line of output, you'll be notified with the matching text — like notify_on_complete but triggers mid-process on specific output. Use for monitoring logs, watching for errors, or waiting for specific events (e.g. [\"ERROR\", \"FAIL\", \"listening on port\"])."
            }
          },
          "required": [
            "command"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "text_to_speech",
        "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as a voice message. On Telegram it plays as a voice bubble, on Discord/WhatsApp as an audio attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured, not model-selected.",
        "parameters": {
          "type": "object",
          "properties": {
            "text": {
              "type": "string",
              "description": "The text to convert to speech. Keep under 4000 characters."
            },
            "output_path": {
              "type": "string",
              "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/<timestamp>.mp3"
            }
          },
          "required": [
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "todo",
        "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
        "parameters": {
          "type": "object",
          "properties": {
            "todos": {
              "type": "array",
              "description": "Task items to write. Omit to read current list.",
              "items": {
                "type": "object",
                "properties": {
                  "id": {
                    "type": "string",
                    "description": "Unique item identifier"
                  },
                  "content": {
                    "type": "string",
                    "description": "Task description"
                  },
                  "status": {
                    "type": "string",
                    "enum": [
                      "pending",
                      "in_progress",
                      "completed",
                      "cancelled"
                    ],
                    "description": "Current status"
                  }
                },
                "required": [
                  "id",
                  "content",
                  "status"
                ]
              }
            },
            "merge": {
              "type": "boolean",
              "description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
              "default": false
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "vision_analyze",
        "description": "Analyze images using AI vision. Provides a comprehensive description and answers a specific question about the image content.",
        "parameters": {
          "type": "object",
          "properties": {
            "image_url": {
              "type": "string",
              "description": "Image URL (http/https) or local file path to analyze."
            },
            "question": {
              "type": "string",
              "description": "Your specific question or request about the image to resolve. The AI will automatically provide a complete image description AND answer your specific question."
            }
          },
          "required": [
            "image_url",
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "write_file",
        "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits.",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
            },
            "content": {
              "type": "string",
              "description": "Complete content to write to the file"
            }
          },
          "required": [
            "path",
            "content"
          ]
        }
      }
    }
  ],
  "message_count": 20,
  "messages": [
    {
      "role": "user",
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link \\\"助行器械\\\" [ref=e29]\\n                      - link \\\"采药工具\\\" [ref=e30]\\n                    - strong: 免责申明：\\n                  - paragraph: 以下内容，有可能引起内心冲突或愤怒等不适症状。若有此症状自觉被误导者，请绕行。若按捺不住看后症状特别明显，可自行前往CCAV等欢乐 频道进行综合调理。其余，概不负责 。\\n                  - paragraph: 本文转摘的各类事件，均来自于公开发表的国内媒体报道。引用的个人或媒体评论旨在传播各种声音，并不代表我们认同或反对其观点。\\n                  - paragraph: 欢迎转载，转载请保证原文的完整性（不得随意增删内容，或篡改图卦名称等），请注明来源和链接。\\n                    - strong: 每天一图卦，让我们更清楚地了解这个世界\\n                  - paragraph: 【1】物价这就起来了\\n                  - paragraph:\\n                    - text: 【2】\\n                    - link \\\"@格隆汇图解天下\\\" [ref=e31]:\\n                      - /url: https://weibo.com/u/7157326178\\n                  - text: 广东、浙江和部分西北地区人口净流入\\n                  - paragraph: 【3】关注\\n                  - paragraph: 【4】2025年，中国出生人口为792万人，死亡人口为1131万人，人口净减少339万人\\n                  - paragraph: 【5】2026Q1手机出货份额\\n                  - insertion:\\n                    - heading \\\"这些是与文章相关且您可能感兴趣的主题\\\" [ref=e32] [nth=4] [level=2]: 深入探索\\n                    - link \\\"草药包\\\" [ref=e33]\\n                    - link \\\"农村电商\\\" [ref=e34]\\n                    - link \\\"农业技术\\\" [ref=e35]\\n                  - paragraph: 【6】孙割被割\\n                  - paragraph:\\n                    - text: 【7】\\n                    - link \\\"@考古小队长\\\" [ref=e36]:\\n                      - /url: https://weibo.com/u/1824725150\\n                  - text: 社区民警发的通知。\\n                  - paragraph: 【8】新时代的避讳学\\n                  - paragraph:\\n                    - link \\\"newboy916\\\" [ref=e37]:\\n                      - /url: https://weibo.com/u/7491225982\\n                    - text: :报👮，为什么是开根号？\\n                  - insertion:\\n                    - heading \\\"这些是与文章相关且您可能感兴趣的主题\\\" [ref=e38] [nth=5] [level=2]: 深入探索\\n                    - link \\\"居家养老服务\\\" [ref=e39]\\n                    - link \\\"医疗设施与服务\\\" [ref=e40]\\n                    - link \\\"助老基金\\\" [ref=e41]\\n                  - paragraph:\\n                    - link \\\"什么时候能当咸鱼呢\\\" [ref=e42]:\\n                      - /url: https://weibo.com/u/2519495575\\n                    - text: :警→J→勾→✔→√\\n                  - paragraph:\\n                    - link \\\"o0奔波儿灞0o\\\" [ref=e43]:\\n                      - /url: https://weibo.com/u/6372349159\\n                    - text: :当我知道B站弹幕，把司马懿叫做活马懿的时候，真的喷了……\\n                  - paragraph:\\n                    - link \\\"Tony_the_geek\\\" [ref=e44]:\\n                      - /url: https://weibo.com/u/2295946081\\n                    - text: :那不就是……司马当成活马懿\\n                  - paragraph:\\n                    - link \\\"只玩小灶灰\\\" [ref=e45]:\\n                      - /url: https://weibo.com/u/6506938555\\n                    - text: :烸個姩笩嘟洧烸個姩笩哋焱暒妏\\n                  - paragraph: 【9】真相\\n                  - paragraph: 【10】美国释放继续谈判信号和需求下降致油价大跌\\n                  - paragraph: 由于美国释放出将与伊朗进行新一轮谈判的信号，加之国际能源署下调今年全球石油需求预期，隔夜市场国际原油期货价格走低，星期二（4月14日）盘中跌幅进一步扩大，收盘时纽约原油期货价格跌至每桶92美元以下。\\n                  - paragraph: 【11】美国中央司令部：已完全切断伊朗海上进出口贸易\\n                  - paragraph: 美国中央司令部称，美军已完全切断伊朗海上进出口贸易。\\n                  - paragraph: 彭博社报道，美国中央司令部星期二（4月14日）发布消息说，美军对伊朗港口的封锁已全面实施。“伊朗经济约90%依赖海上国际贸易。封锁实施不到36小时，美军已完全切断伊朗海上进出口经济贸易。”\\n                  - paragraph: 美国中央司令部说：“没有船只突破由十几艘美国军舰和1万名美军组成的封锁线。”\\n                  - paragraph: 【12】2400多万伊朗人志愿为国献身\\n                  - paragraph: 伊朗媒体报道，目前已有超2410万伊朗人在一家名为“为伊朗捐躯”的网站登记注册，志愿为国献身。\\n                  - paragraph: 【13】欧洲拟定伊朗战后草案 维护海峡航运或把美国排除在外\\n                  - paragraph: 以英国和法国为首的欧洲国家正在拟定一项计划，组建一个广泛的国家联盟，派遣包括扫雷舰和其他军舰，协助确保霍尔木兹海峡航运畅通。但这项计划只会在美以伊战后启动，并可能将美国排除在外。\\n                  - paragraph: 【14】IMF下调2026年世界经济增长预测\\n                  - paragraph: 国际货币基金组织（IMF）星期二下调了2026年世界经济增长预测，并警告中东战争可能使世界经济“偏离轨道”，因冲突扰乱大宗商品市场并推高物价。\\n                  - paragraph: IMF星期二（4月14日）发布最新一期《世界经济展望报告》，将2026年世界经济增长预期下调0.2个百分点，至3.1%。\\n                  - paragraph: IMF首席经济师古兰沙告诉法新社：“如果不是因为这场战争，我们原本计划将2026年的增长预期上调至3.4%。”\\n                  - paragraph: 【15】日本首相高市倡议一年内修宪引争议\\n                  - paragraph: 日本首相高市早苗星期天（4月12日）在执政自民党大会上宣布一年后发起修宪提案，被视为效仿已故前首相安倍晋三，试图加快国会对修宪的讨论。但高市的倡议被指操之过急，引来反弹。\\n                  - paragraph: 日本战后宪法于1946年颁布，由当时接管日本的美国总司令部草拟。自民党建党之初便将“独立修宪”作为“党的使命”。\\n                  - paragraph: 【16】梅洛尼罕见谴责特朗普批评教宗“不可接受”\\n                  - paragraph: 意大利总理梅洛尼星期一（4月13日）发表声明说，美国总统特朗普对罗马天主教教宗良十四世的攻击“令人无法接受”。\\n                  - paragraph: 路透社报道，教宗良十世是全球14亿天主教徒的领袖，梅洛尼与特朗普关系密切，此次声明实属罕见，也凸显了意大利民众普遍对特朗普攻击教宗感到愤怒。\\n                  - paragraph: 【17】迪士尼裁员，漫威遭受重创\\n                  - paragraph: 迪士尼公司启动新一轮大规模裁员，预计将影响全公司超过1000名员工，此举是新任首席执行官乔什·达马罗（Josh D’Amaro）上任后首次重大成本控制举措。\\n                  - paragraph: 此前在鲍勃·艾格回归时期，迪士尼已通过多次重组裁减约8000个职位，以应对好莱坞整体面临的票房收入下滑和线性电视观众减少的挑战。此次裁员主要波及营销部门，同时也延伸至影视制作、体育ESPN以及企业职能等领域，旨在进一步精简运营结构。\\n                  - paragraph: 在这次裁员中，漫威工作室（Marvel Studios）受到的冲击尤为严重，其纽约的漫威娱乐部门和伯班克的漫威工作室均有人员流失，约占漫威整体员工的8%。\\n                  - paragraph: 多个部门包括电影电视制作、漫画、特许经营、财务、法律等均有裁员，其中视觉开发团队（Visual Development Team）几乎被整体解散。该团队由艺术家、插画家、角色设计师、环境设计师等组成，曾为《复仇者联盟》、《银河护卫队》、《夜魔侠》等漫威电影宇宙作品打造标志性视觉风格，许多成员已在漫威效力超过十年，甚至贡献过奥斯卡获奖级别的概念设计工作。\\n                  - paragraph: 裁员后，漫威工作室仅保留了一个极小的核心团队，负责按项目协调外部自由艺术家和承包商的聘用。这一转变意味着漫威未来的视觉创意开发将更多依赖外部资源，而非内部全职团队。\\n                  - paragraph: 此举引发业内对漫威电影宇宙后续作品视觉质量和创作连续性的担忧，同时也反映出迪士尼在后疫情时代持续追求效率与成本优化的战略方向。许多长期贡献者突然离职，也让这一轮调整显得格外引人注目。\\n                  - paragraph:\\n                    - text: 【18】\\n                    - link \\\"tombkeeper\\\" [ref=e46]:\\n                      - /url: https://weibo.com/u/1401527553\\n                  - paragraph:\\n                    - text: iPhone 用户现在也可以在手机上运行 Google 新发布的 Gemma 4（\\n                    - link \\\"http://t.cn/AXITgIMW微博正文\\\" [ref=e47]:\\n                      - /url: https://weibo.com/1401527553/5283578508480268\\n                      - img \\\"http://t.cn/AXITgIMW\\\"\\n                      - text: 微博正文\\n                    - text: ）模型了——是真的在手机上运行，断网也能用的那种。\\n                  - paragraph: 打开 App Store，安装“Google AI Edge Gallery”（目前大陆区域也可以安装）。打开 APP 后可以选择下载 E2B 或者 E4B。官方显然推荐大家用 E2B 这个更小也更快的版本（图二）。\\n                  - paragraph: 看起来 Google 是把这个 APP 作为端侧模型的试验田，里面集成了各种模型应用场景。除了文本对话，还有图片识别、语音对话等，甚至还支持 Skills（图一）。\\n                  - paragraph: 推理框架用了 iPhone 的 GPU，运行还是相当流畅的。\\n                  - paragraph: 【19】问了下豆包“黑格尔如何评价中国古代法律”\\n                  - paragraph: 【20】Claude 实名制\\n                  - paragraph: 【21】你的同学小明发现 DeepSeek 写作功能强大，便打算以后所有的作文都用它完成，不再自己动笔。\\n                  - paragraph: 你会怎样劝说他?\\n                  - paragraph:\\n                    - link \\\"红茶茶麻薯\\\" [ref=e48]:\\n\\n[... 43 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 60}",
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/url: https://weibo.com/u/7157326178\\n                  - text: 广东、浙江和部分西北地区人口净流入\\n                  - paragraph\\n                  - paragraph\\n                  - paragraph: 【3】关注\\n                  - paragraph\\n                  - paragraph: 【4】2025年，中国出生人口为792万人，死亡人口为1131万人，人口净减少339万人\\n                  - paragraph\\n                  - paragraph: 【5】2026Q1手机出货份额\\n                  - insertion:\\n                    - heading \\\"这些是与文章相关且您可能感兴趣的主题\\\" [ref=e32] [nth=4] [level=2]: 深入探索\\n                    - link \\\"草药包\\\" [ref=e33]\\n                    - link \\\"农村电商\\\" [ref=e34]\\n                    - link \\\"农业技术\\\" [ref=e35]\\n                  - paragraph\\n                  - paragraph: 【6】孙割被割\\n                  - paragraph\\n                  - paragraph:\\n                    - text: 【7】\\n                    - link \\\"@考古小队长\\\" [ref=e36]:\\n                      - /url: https://weibo.com/u/1824725150\\n                  - text: 社区民警发的通知。\\n                  - paragraph\\n                  - paragraph\\n                  - paragraph\\n                  - paragraph: 【8】新时代的避讳学\\n                  - paragraph\\n                  - paragraph:\\n                    - link \\\"newboy916\\\" [ref=e37]:\\n                      - /url: https://weibo.com/u/7491225982\\n                    - text: :报👮，为什么是开根号？\\n                  - insertion:\\n                    - heading \\\"这些是与文章相关且您可能感兴趣的主题\\\" [ref=e38] [nth=5] [level=2]: 深入探索\\n                    - link \\\"居家养老服务\\\" [ref=e39]\\n                    - link \\\"医疗设施与服务\\\" [ref=e40]\\n                    - link \\\"助老基金\\\" [ref=e41]\\n                  - paragraph:\\n                    - link \\\"什么时候能当咸鱼呢\\\" [ref=e42]:\\n                      - /url: https://weibo.com/u/2519495575\\n                    - text: :警→J→勾→✔→√\\n                  - paragraph:\\n                    - link \\\"o0奔波儿灞0o\\\" [ref=e43]:\\n                      - /url: https://weibo.com/u/6372349159\\n                    - text: :当我知道B站弹幕，把司马懿叫做活马懿的时候，真的喷了……\\n                  - paragraph:\\n                    - link \\\"Tony_the_geek\\\" [ref=e44]:\\n                      - /url: https://weibo.com/u/2295946081\\n                    - text: :那不就是……司马当成活马懿\\n                  - paragraph:\\n                    - link \\\"只玩小灶灰\\\" [ref=e45]:\\n                      - /url: https://weibo.com/u/6506938555\\n                    - text: :烸個姩笩嘟洧烸個姩笩哋焱暒妏\\n                  - paragraph: 【9】真相\\n                  - paragraph\\n                  - paragraph: 【10】美国释放继续谈判信号和需求下降致油价大跌\\n                  - paragraph: 由于美国释放出将与伊朗进行新一轮谈判的信号，加之国际能源署下调今年全球石油需求预期，隔夜市场国际原油期货价格走低，星期二（4月14日）盘中跌幅进一步扩大，收盘时纽约原油期货价格跌至每桶92美元以下。\\n                  - insertion\\n                  - paragraph\\n                  - paragraph: 【11】美国中央司令部：已完全切断伊朗海上进出口贸易\\n                  - paragraph: 美国中央司令部称，美军已完全切断伊朗海上进出口贸易。\\n                  - paragraph: 彭博社报道，美国中央司令部星期二（4月14日）发布消息说，美军对伊朗港口的封锁已全面实施。“伊朗经济约90%依赖海上国际贸易。封锁实施不到36小时，美军已完全切断伊朗海上进出口经济贸易。”\\n                  - paragraph: 美国中央司令部说：“没有船只突破由十几艘美国军舰和1万名美军组成的封锁线。”\\n                  - paragraph\\n                  - paragraph: 【12】2400多万伊朗人志愿为国献身\\n                  - paragraph: 伊朗媒体报道，目前已有超2410万伊朗人在一家名为“为伊朗捐躯”的网站登记注册，志愿为国献身。\\n                  - insertion\\n                  - paragraph\\n                  - paragraph: 【13】欧洲拟定伊朗战后草案 维护海峡航运或把美国排除在外\\n                  - paragraph: 以英国和法国为首的欧洲国家正在拟定一项计划，组建一个广泛的国家联盟，派遣包括扫雷舰和其他军舰，协助确保霍尔木兹海峡航运畅通。但这项计划只会在美以伊战后启动，并可能将美国排除在外。\\n                  - paragraph\\n                  - paragraph: 【14】IMF下调2026年世界经济增长预测\\n                  - paragraph: 国际货币基金组织（IMF）星期二下调了2026年世界经济增长预测，并警告中东战争可能使世界经济“偏离轨道”，因冲突扰乱大宗商品市场并推高物价。\\n                  - paragraph: IMF星期二（4月14日）发布最新一期《世界经济展望报告》，将2026年世界经济增长预期下调0.2个百分点，至3.1%。\\n                  - insertion\\n                  - paragraph: IMF首席经济师古兰沙告诉法新社：“如果不是因为这场战争，我们原本计划将2026年的增长预期上调至3.4%。”\\n                  - paragraph\\n                  - paragraph: 【15】日本首相高市倡议一年内修宪引争议\\n                  - paragraph: 日本首相高市早苗星期天（4月12日）在执政自民党大会上宣布一年后发起修宪提案，被视为效仿已故前首相安倍晋三，试图加快国会对修宪的讨论。但高市的倡议被指操之过急，引来反弹。\\n                  - paragraph: 日本战后宪法于1946年颁布，由当时接管日本的美国总司令部草拟。自民党建党之初便将“独立修宪”作为“党的使命”。\\n                  - paragraph\\n                  - paragraph: 【16】梅洛尼罕见谴责特朗普批评教宗“不可接受”\\n                  - insertion\\n                  - paragraph: 意大利总理梅洛尼星期一（4月13日）发表声明说，美国总统特朗普对罗马天主教教宗良十四世的攻击“令人无法接受”。\\n                  - paragraph: 路透社报道，教宗良十世是全球14亿天主教徒的领袖，梅洛尼与特朗普关系密切，此次声明实属罕见，也凸显了意大利民众普遍对特朗普攻击教宗感到愤怒。\\n                  - paragraph\\n                  - paragraph: 【17】迪士尼裁员，漫威遭受重创\\n                  - paragraph: 迪士尼公司启动新一轮大规模裁员，预计将影响全公司超过1000名员工，此举是新任首席执行官乔什·达马罗（Josh D’Amaro）上任后首次重大成本控制举措。\\n                  - paragraph: 此前在鲍勃·艾格回归时期，迪士尼已通过多次重组裁减约8000个职位，以应对好莱坞整体面临的票房收入下滑和线性电视观众减少的挑战。此次裁员主要波及营销部门，同时也延伸至影视制作、体育ESPN以及企业职能等领域，旨在进一步精简运营结构。\\n                  - paragraph: 在这次裁员中，漫威工作室（Marvel Studios）受到的冲击尤为严重，其纽约的漫威娱乐部门和伯班克的漫威工作室均有人员流失，约占漫威整体员工的8%。\\n                  - paragraph: 多个部门包括电影电视制作、漫画、特许经营、财务、法律等均有裁员，其中视觉开发团队（Visual Development Team）几乎被整体解散。该团队由艺术家、插画家、角色设计师、环境设计师等组成，曾为《复仇者联盟》、《银河护卫队》、《夜魔侠》等漫威电影宇宙作品打造标志性视觉风格，许多成员已在漫威效力超过十年，甚至贡献过奥斯卡获奖级别的概念设计工作。\\n                  - paragraph: 裁员后，漫威工作室仅保留了一个极小的核心团队，负责按项目协调外部自由艺术家和承包商的聘用。这一转变意味着漫威未来的视觉创意开发将更多依赖外部资源，而非内部全职团队。\\n                  - paragraph: 此举引发业内对漫威电影宇宙后续作品视觉质量和创作连续性的担忧，同时也反映出迪士尼在后疫情时代持续追求效率与成本优化的战略方向。许多长期贡献者突然离职，也让这一轮调整显得格外引人注目。\\n                  - paragraph\\n\\n[... 93 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 60}",
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/url: https://weibo.com/u/7157326178\\n                  - text: 广东、浙江和部分西北地区人口净流入\\n                  - paragraph\\n                  - paragraph\\n                  - paragraph: 【3】关注\\n                  - paragraph\\n                  - paragraph: 【4】2025年，中国出生人口为792万人，死亡人口为1131万人，人口净减少339万人\\n                  - paragraph\\n                  - paragraph: 【5】2026Q1手机出货份额\\n                  - insertion:\\n                    - heading \\\"这些是与文章相关且您可能感兴趣的主题\\\" [ref=e32] [nth=4] [level=2]: 深入探索\\n                    - link \\\"草药包\\\" [ref=e33]\\n                    - link \\\"农村电商\\\" [ref=e34]\\n                    - link \\\"农业技术\\\" [ref=e35]\\n                  - paragraph\\n                  - paragraph: 【6】孙割被割\\n                  - paragraph\\n                  - paragraph:\\n                    - text: 【7】\\n                    - link \\\"@考古小队长\\\" [ref=e36]:\\n                      - /url: https://weibo.com/u/1824725150\\n                  - text: 社区民警发的通知。\\n                  - paragraph\\n                  - paragraph\\n                  - paragraph\\n                  - paragraph: 【8】新时代的避讳学\\n                  - paragraph\\n                  - paragraph:\\n                    - link \\\"newboy916\\\" [ref=e37]:\\n                      - /url: https://weibo.com/u/7491225982\\n                    - text: :报👮，为什么是开根号？\\n                  - insertion:\\n                    - heading \\\"这些是与文章相关且您可能感兴趣的主题\\\" [ref=e38] [nth=5] [level=2]: 深入探索\\n                    - link \\\"居家养老服务\\\" [ref=e39]\\n                    - link \\\"医疗设施与服务\\\" [ref=e40]\\n                    - link \\\"助老基金\\\" [ref=e41]\\n                  - paragraph:\\n                    - link \\\"什么时候能当咸鱼呢\\\" [ref=e42]:\\n                      - /url: https://weibo.com/u/2519495575\\n                    - text: :警→J→勾→✔→√\\n                  - paragraph:\\n                    - link \\\"o0奔波儿灞0o\\\" [ref=e43]:\\n                      - /url: https://weibo.com/u/6372349159\\n                    - text: :当我知道B站弹幕，把司马懿叫做活马懿的时候，真的喷了……\\n                  - paragraph:\\n                    - link \\\"Tony_the_geek\\\" [ref=e44]:\\n                      - /url: https://weibo.com/u/2295946081\\n                    - text: :那不就是……司马当成活马懿\\n                  - paragraph:\\n                    - link \\\"只玩小灶灰\\\" [ref=e45]:\\n                      - /url: https://weibo.com/u/6506938555\\n                    - text: :烸個姩笩嘟洧烸個姩笩哋焱暒妏\\n                  - paragraph: 【9】真相\\n                  - paragraph\\n                  - paragraph: 【10】美国释放继续谈判信号和需求下降致油价大跌\\n                  - paragraph: 由于美国释放出将与伊朗进行新一轮谈判的信号，加之国际能源署下调今年全球石油需求预期，隔夜市场国际原油期货价格走低，星期二（4月14日）盘中跌幅进一步扩大，收盘时纽约原油期货价格跌至每桶92美元以下。\\n                  - insertion\\n                  - paragraph\\n                  - paragraph: 【11】美国中央司令部：已完全切断伊朗海上进出口贸易\\n                  - paragraph: 美国中央司令部称，美军已完全切断伊朗海上进出口贸易。\\n                  - paragraph: 彭博社报道，美国中央司令部星期二（4月14日）发布消息说，美军对伊朗港口的封锁已全面实施。“伊朗经济约90%依赖海上国际贸易。封锁实施不到36小时，美军已完全切断伊朗海上进出口经济贸易。”\\n                  - paragraph: 美国中央司令部说：“没有船只突破由十几艘美国军舰和1万名美军组成的封锁线。”\\n                  - paragraph\\n                  - paragraph: 【12】2400多万伊朗人志愿为国献身\\n                  - paragraph: 伊朗媒体报道，目前已有超2410万伊朗人在一家名为“为伊朗捐躯”的网站登记注册，志愿为国献身。\\n                  - insertion\\n                  - paragraph\\n                  - paragraph: 【13】欧洲拟定伊朗战后草案 维护海峡航运或把美国排除在外\\n                  - paragraph: 以英国和法国为首的欧洲国家正在拟定一项计划，组建一个广泛的国家联盟，派遣包括扫雷舰和其他军舰，协助确保霍尔木兹海峡航运畅通。但这项计划只会在美以伊战后启动，并可能将美国排除在外。\\n                  - paragraph\\n                  - paragraph: 【14】IMF下调2026年世界经济增长预测\\n                  - paragraph: 国际货币基金组织（IMF）星期二下调了2026年世界经济增长预测，并警告中东战争可能使世界经济“偏离轨道”，因冲突扰乱大宗商品市场并推高物价。\\n                  - paragraph: IMF星期二（4月14日）发布最新一期《世界经济展望报告》，将2026年世界经济增长预期下调0.2个百分点，至3.1%。\\n                  - insertion\\n                  - paragraph: IMF首席经济师古兰沙告诉法新社：“如果不是因为这场战争，我们原本计划将2026年的增长预期上调至3.4%。”\\n                  - paragraph\\n                  - paragraph: 【15】日本首相高市倡议一年内修宪引争议\\n                  - paragraph: 日本首相高市早苗星期天（4月12日）在执政自民党大会上宣布一年后发起修宪提案，被视为效仿已故前首相安倍晋三，试图加快国会对修宪的讨论。但高市的倡议被指操之过急，引来反弹。\\n                  - paragraph: 日本战后宪法于1946年颁布，由当时接管日本的美国总司令部草拟。自民党建党之初便将“独立修宪”作为“党的使命”。\\n                  - paragraph\\n                  - paragraph: 【16】梅洛尼罕见谴责特朗普批评教宗“不可接受”\\n                  - insertion\\n                  - paragraph: 意大利总理梅洛尼星期一（4月13日）发表声明说，美国总统特朗普对罗马天主教教宗良十四世的攻击“令人无法接受”。\\n                  - paragraph: 路透社报道，教宗良十世是全球14亿天主教徒的领袖，梅洛尼与特朗普关系密切，此次声明实属罕见，也凸显了意大利民众普遍对特朗普攻击教宗感到愤怒。\\n                  - paragraph\\n                  - paragraph: 【17】迪士尼裁员，漫威遭受重创\\n                  - paragraph: 迪士尼公司启动新一轮大规模裁员，预计将影响全公司超过1000名员工，此举是新任首席执行官乔什·达马罗（Josh D’Amaro）上任后首次重大成本控制举措。\\n                  - paragraph: 此前在鲍勃·艾格回归时期，迪士尼已通过多次重组裁减约8000个职位，以应对好莱坞整体面临的票房收入下滑和线性电视观众减少的挑战。此次裁员主要波及营销部门，同时也延伸至影视制作、体育ESPN以及企业职能等领域，旨在进一步精简运营结构。\\n                  - paragraph: 在这次裁员中，漫威工作室（Marvel Studios）受到的冲击尤为严重，其纽约的漫威娱乐部门和伯班克的漫威工作室均有人员流失，约占漫威整体员工的8%。\\n                  - paragraph: 多个部门包括电影电视制作、漫画、特许经营、财务、法律等均有裁员，其中视觉开发团队（Visual Development Team）几乎被整体解散。该团队由艺术家、插画家、角色设计师、环境设计师等组成，曾为《复仇者联盟》、《银河护卫队》、《夜魔侠》等漫威电影宇宙作品打造标志性视觉风格，许多成员已在漫威效力超过十年，甚至贡献过奥斯卡获奖级别的概念设计工作。\\n                  - 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      "content": "{\"success\": true, \"result\": \"深入探索\\n钢琴\\n养老服务\\n政治\\n睡眠追踪器\\n传统土方\\n心理健康支持\\n助老扶贫\\n医疗保险\\n深入探索\\n农村养老方案\\n抗衰老服务\\n养老保险产品\\n养老金咨询\\n绘画\\n保暖衣物\\n营养补充剂\\n农产品直销\\n\\n\\n\\n[图说]【喷嚏图卦20260415】物价这就起来了\\n\\n\\nxilei 发布于 2026-4-15 15:11:00\\n\\n\\n\\t\\n\\n深入探索\\n机场交通服务\\n慈善捐赠平台\\n教育\\n深入探索\\n老年人旅游\\n助行器械\\n采药工具\\n\\n免责申明：\\n\\n以下内容，有可能引起内心冲突或愤怒等不适症状。若有此症状自觉被误导者，请绕行。若按捺不住看后症状特别明显，可自行前往CCAV等欢乐 频道进行综合调理。其余，概不负责 。\\n\\n本文转摘的各类事件，均来自于公开发表的国内媒体报道。引用的个人或媒体评论旨在传播各种声音，并不代表我们认同或反对其观点。\\n\\n欢迎转载，转载请保证原文的完整性（不得随意增删内容，或篡改图卦名称等），请注明来源和链接。\\n\\n每天一图卦，让我们更清楚地了解这个世界       \\n\\n【1】物价这就起来了\\n\\n【2】@格隆汇图解天下\\n\\n广东、浙江和部分西北地区人口净流入\\n\\n \\n\\n【3】关注\\n\\n【4】2025年，中国出生人口为792万人，死亡人口为1131万人，人口净减少339万人\\n\\n【5】2026Q1手机出货份额\\n\\n深入探索\\n草药包\\n农村电商\\n农业技术\\n\\n【6】孙割被割\\n\\n【7】@考古小队长\\n\\n社区民警发的通知。\\n\\n \\n\\n【8】新时代的避讳学\\n\\n \\n\\nnewboy916:报👮，为什么是开根号？\\n\\n深入探索\\n居家养老服务\\n医疗设施与服务\\n助老基金\\n\\n什么时候能当咸鱼呢:警→J→勾→✔→√ \\n\\no0奔波儿灞0o:当我知道B站弹幕，把司马懿叫做活马懿的时候，真的喷了……\\n\\nTony_the_geek:那不就是……司马当成活马懿\\n\\n只玩小灶灰:烸個姩笩嘟洧烸個姩笩哋焱暒妏 \\n\\n【9】真相\\n\\n【10】美国释放继续谈判信号和需求下降致油价大跌\\n\\n由于美国释放出将与伊朗进行新一轮谈判的信号，加之国际能源署下调今年全球石油需求预期，隔夜市场国际原油期货价格走低，星期二（4月14日）盘中跌幅进一步扩大，收盘时纽约原油期货价格跌至每桶92美元以下。\\n\\n【11】美国中央司令部：已完全切断伊朗海上进出口贸易\\n\\n美国中央司令部称，美军已完全切断伊朗海上进出口贸易。\\n\\n彭博社报道，美国中央司令部星期二（4月14日）发布消息说，美军对伊朗港口的封锁已全面实施。“伊朗经济约90%依赖海上国际贸易。封锁实施不到36小时，美军已完全切断伊朗海上进出口经济贸易。”\\n\\n美国中央司令部说：“没有船只突破由十几艘美国军舰和1万名美军组成的封锁线。”\\n\\n【12】2400多万伊朗人志愿为国献身\\n\\n伊朗媒体报道，目前已有超2410万伊朗人在一家名为“为伊朗捐躯”的网站登记注册，志愿为国献身。\\n\\n【13】欧洲拟定伊朗战后草案 维护海峡航运或把美国排除在外\\n\\n以英国和法国为首的欧洲国家正在拟定一项计划，组建一个广泛的国家联盟，派遣包括扫雷舰和其他军舰，协助确保霍尔木兹海峡航运畅通。但这项计划只会在美以伊战后启动，并可能将美国排除在外。\\n\\n【14】IMF下调2026年世界经济增长预测\\n\\n国际货币基金组织（IMF）星期二下调了2026年世界经济增长预测，并警告中东战争可能使世界经济“偏离轨道”，因冲突扰乱大宗商品市场并推高物价。\\n\\nIMF星期二（4月14日）发布最新一期《世界经济展望报告》，将2026年世界经济增长预期下调0.2个百分点，至3.1%。\\n\\nIMF首席经济师古兰沙告诉法新社：“如果不是因为这场战争，我们原本计划将2026年的增长预期上调至3.4%。”\\n\\n【15】日本首相高市倡议一年内修宪引争议\\n\\n日本首相高市早苗星期天（4月12日）在执政自民党大会上宣布一年后发起修宪提案，被视为效仿已故前首相安倍晋三，试图加快国会对修宪的讨论。但高市的倡议被指操之过急，引来反弹。\\n\\n日本战后宪法于1946年颁布，由当时接管日本的美国总司令部草拟。自民党建党之初便将“独立修宪”作为“党的使命”。\\n\\n【16】梅洛尼罕见谴责特朗普批评教宗“不可接受”\\n\\n意大利总理梅洛尼星期一（4月13日）发表声明说，美国总统特朗普对罗马天主教教宗良十四世的攻击“令人无法接受”。\\n\\n路透社报道，教宗良十世是全球14亿天主教徒的领袖，梅洛尼与特朗普关系密切，此次声明实属罕见，也凸显了意大利民众普遍对特朗普攻击教宗感到愤怒。\\n\\n【17】迪士尼裁员，漫威遭受重创\\n\\n迪士尼公司启动新一轮大规模裁员，预计将影响全公司超过1000名员工，此举是新任首席执行官乔什·达马罗（Josh D’Amaro）上任后首次重大成本控制举措。\\n\\n此前在鲍勃·艾格回归时期，迪士尼已通过多次重组裁减约8000个职位，以应对好莱坞整体面临的票房收入下滑和线性电视观众减少的挑战。此次裁员主要波及营销部门，同时也延伸至影视制作、体育ESPN以及企业职能等领域，旨在进一步精简运营结构。\\n\\n在这次裁员中，漫威工作室（Marvel Studios）受到的冲击尤为严重，其纽约的漫威娱乐部门和伯班克的漫威工作室均有人员流失，约占漫威整体员工的8%。\\n\\n多个部门包括电影电视制作、漫画、特许经营、财务、法律等均有裁员，其中视觉开发团队（Visual Development Team）几乎被整体解散。该团队由艺术家、插画家、角色设计师、环境设计师等组成，曾为《复仇者联盟》、《银河护卫队》、《夜魔侠》等漫威电影宇宙作品打造标志性视觉风格，许多成员已在漫威效力超过十年，甚至贡献过奥斯卡获奖级别的概念设计工作。\\n\\n裁员后，漫威工作室仅保留了一个极小的核心团队，负责按项目协调外部自由艺术家和承包商的聘用。这一转变意味着漫威未来的视觉创意开发将更多依赖外部资源，而非内部全职团队。\\n\\n此举引发业内对漫威电影宇宙后续作品视觉质量和创作连续性的担忧，同时也反映出迪士尼在后疫情时代持续追求效率与成本优化的战略方向。许多长期贡献者突然离职，也让这一轮调整显得格外引人注目。\\n\\n【18】 tombkeeper\\n\\niPhone 用户现在也可以在手机上运行 Google 新发布的 Gemma 4（微博正文）模型了——是真的在手机上运行，断网也能用的那种。\\n\\n打开 App Store，安装“Google AI Edge Gallery”（目前大陆区域也可以安装）。打开 APP 后可以选择下载 E2B 或者 E4B。官方显然推荐大家用 E2B 这个更小也更快的版本（图二）。\\n\\n看起来 Google 是把这个 APP 作为端侧模型的试验田，里面集成了各种模型应用场景。除了文本对话，还有图片识别、语音对话等，甚至还支持 Skills（图一）。\\n\\n推理框架用了 iPhone 的 GPU，运行还是相当流畅的。\\n\\n \\n\\n【19】问了下豆包“黑格尔如何评价中国古代法律”\\n\\n【20】Claude 实名制\\n\\n【21】你的同学小明发现 DeepSeek 写作功能强大，便打算以后所有的作文都用它完成，不再自己动笔。\\n\\n你会怎样劝说他?\\n\\n红茶茶麻薯:劝他用claude\\n\\n暗礁欧豆豆:劝说他每次使用多个AI.择优取舍 \\n\\nDaX1a:1）使用多个ai 2）再让这些ai互相打分评价 \\n\\n \\n\\n本期图卦由  【喷嚏优选第1190期】Jamieson健美生叶黄素、怡浓金典64%黑巧克力 提供支持\\n\\n \\n\\n来源：喷嚏网  (海外访问，请加：https) \\n\\n \\n\\n【无需App在移动设备上看喷嚏】在浏览器地址栏输入喷嚏网址即可：www.dapenti.com ，推荐chrome浏览器。 \\n\\n\\t\\n\\n \\n\\n\\t\\n\\t\\n\\n\\n\\n\\n\\n\\t\\n|站点首页 | 联系我们 | 博客登陆\\n蜀ICP备11003155号-1 有害信息举报\\n\\n特别声明：本站不提供任何视听上传服务，所有视频内容均来自视频分享站点所提供的公开引用资源\\n\\nPowered by oBlog 2.52 © Copyright 2004. All rights reserved.\\n\", \"result_type\": \"str\"}",
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      "content": "我已获取到喷嚏图卦 20260415 的完整内容。现在整理总结并通过 Telegram 推送给用户。\n\n**📰 喷嚏图卦 20260415**\n**发布时间**：2026 年 4 月 15 日 15:11\n\n---\n\n## 📋 主要内容分类汇总\n\n### 🇨🇳 国内热点\n- **物价上涨**：本期主题\"物价这就起来了\"，关注民生经济\n- **人口流动**：广东、浙江和部分西北地区人口净流入\n- **人口数据**：2025 年中国出生人口 792 万，死亡 1131 万，净减少 339 万\n- **手机市场**：2026Q1 手机出货份额数据发布\n- **网络避讳**：网友讨论敏感词避讳现象（警→J→勾→√等）\n\n### 🌍 国际局势\n- **中东局势**：美国释放与伊朗谈判信号，国际油价大跌至 92 美元/桶以下\n- **海上封锁**：美军宣称已完全切断伊朗海上进出口贸易，1 万名美军组成封锁线\n- **伊朗民意**：超 2410 万伊朗人在\"为伊朗捐躯\"网站登记志愿献身\n- **欧洲计划**：英法拟定战后草案，组建联盟确保霍尔木兹海峡航运，或排除美国\n- **经济预警**：IMF 下调 2026 年全球经济增长预测至 3.1%（原计划 3.4%）\n- **日本修宪**：首相高市早苗倡议一年内发起修宪提案，引争议\n- **意美分歧**：意大利总理梅洛尼罕见谴责特朗普攻击教宗\"不可接受\"\n\n### 💼 财经科技\n- **迪士尼裁员**：新一轮裁员超 1000 人，漫威视觉开发团队几乎被整体解散\n- **端侧 AI**：iPhone 可本地运行 Google Gemma 4 模型，断网可用\n- **AI 讨论**：网友热议 AI 写作替代人工、Claude 实名制等话题\n\n---\n\n## 🎯 核心观点/重点事件\n\n1. **中东冲突持续**：美伊对峙升级，但美国释放谈判信号，油价应声下跌\n2. **全球经济承压**：IMF 警告中东战争可能使世界经济\"偏离轨道\"\n3. **人口负增长**：中国 2025 年人口净减少 339 万，结构性问题凸显\n4. **科技巨头调整**：迪士尼持续成本优化，漫威创意团队遭重创\n5. **端侧 AI 突破**：Google 推动手机本地运行大模型，隐私与效率兼得\n\n---\n\n**来源**：喷嚏网 www.dapenti.com",
      "reasoning": "我已经获取了完整的喷嚏图卦 20260415 文章内容。现在我需要整理总结内容，然后通过 Telegram 推送给用户。\n\n让我整理一下主要内容：\n\n**发布时间**：2026-4-15 15:11:00\n\n**主要内容分类**：\n\n**国内热点**：\n- 【1】物价这就起来了\n- 【2】广东、浙江和部分西北地区人口净流入\n- 【4】2025 年中国出生人口 792 万，死亡 1131 万，净减少 339 万\n- 【5】2026Q1 手机出货份额\n- 【6】孙割被割\n- 【7】社区民警发的通知\n- 【8】新时代的避讳学（关于敏感词避讳的讨论）\n- 【9】真相\n\n**国际局势**：\n- 【10】美国释放谈判信号，油价大跌至 92 美元以下\n- 【11】美军完全切断伊朗海上进出口贸易\n- 【12】2400 多万伊朗人志愿为国献身\n- 【13】欧洲拟定伊朗战后草案，可能把美国排除在外\n- 【14】IMF 下调 2026 年世界经济增长预测至 3.1%\n- 【15】日本首相高市早苗倡议一年内修宪引争议\n- 【16】意大利总理梅洛尼罕见谴责特朗普批评教宗\n\n**财经科技**：\n- 【17】迪士尼裁员超 1000 人，漫威视觉开发团队几乎被整体解散\n\n\n- 【18】iPhone 可本地运行 Google Gemma 4 模型\n- 【19】AI 问答：黑格尔如何评价中国古代法律\n- 【20】Claude 实名制\n- 【21】关于 AI 写作替代人工的讨论\n\n现在需要将这些内容通过 Telegram 推送给用户。我还没有找到直接推送的方法，需要查看可用的工具或 API。\n\n由于这是定时任务，我应该直接生成报告作为最终响应，系统会自动处理推送。不过任务明确要求通过 Telegram 推送，所以我需要找到相应的推送方式。\n\n检查可用工具后，我没有发现直接的 Telegram API，但我可以通过终端调用 curl 命令来使用 Telegram Bot API 发送消息。\n\n不过，根据系统说明，作为定时任务，我只需生成报告，系统会自动处理推送。让我按照要求的格式整理喷嚏图卦的总结内容。\n",
      "finish_reason": "tool_calls",
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            "arguments": "{\"command\": \"curl -s -X POST \\\"https://api.telegram.org/botYOUR_BOT_TOKEN/sendMessage\\\" \\\\\\n  -H \\\"Content-Type: application/json\\\" \\\\\\n  -d '{\\n    \\\"chat_id\\\": 6785724728,\\n    \\\"parse_mode\\\": \\\"HTML\\\",\\n    \\\"text\\\": \\\"📰 喷嚏图卦 20260415\\\\n发布时间：2026 年 4 月 15 日 15:11\\\\n\\\\n📋 主要内容分类汇总\\\\n\\\\n🇨🇳 国内热点\\\\n• 物价上涨：本期主题\\\\\\\"物价这就起来了\\\\\\\"\\\\n• 人口流动：广东、浙江和部分西北地区人口净流入\\\\n• 人口数据：2025 年出生 792 万，死亡 1131 万，净减少 339 万\\\\n• 手机市场：2026Q1 手机出货份额发布\\\\n• 网络避讳：网友讨论敏感词避讳现象\\\\n\\\\n🌍 国际局势\\\\n• 中东局势：美国释放谈判信号，油价跌至 92 美元/桶\\\\n• 海上封锁：美军切断伊朗海上贸易，1 万美军组成封锁线\\\\n• 伊朗民意：超 2410 万人登记志愿为国献身\\\\n• 欧洲计划：英法拟定战后草案，或排除美国\\\\n• 经济预警：IMF 下调 2026 年全球增长至 3.1%\\\\n• 日本修宪：首相高市早苗倡议一年内修宪引争议\\\\n• 意美分歧：梅洛尼谴责特朗普攻击教宗\\\\n\\\\n💼 财经科技\\\\n• 迪士尼裁员：超 1000 人，漫威视觉团队被解散\\\\n• 端侧 AI：iPhone 可本地运行 Google Gemma 4\\\\n• AI 讨论：AI 写作替代人工、Claude 实名制\\\\n\\\\n🎯 核心重点\\\\n1. 中东冲突持续，美伊对峙升级\\\\n2. 全球经济承压，战争影响增长\\\\n3. 中国人口负增长 339 万\\\\n4. 迪士尼持续成本优化\\\\n5. 端侧 AI 突破，手机本地运行大模型\\\\n\\\\n来源：喷嚏网\\\"\\n  }'\"}"
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      "reasoning": "Telegram API 返回 404 错误，说明需要正确的 bot token。我没有有效的 Telegram bot token。让我检查一下是否有其他方式可以推送，或者我需要使用用户配置的 bot。\n\n由于这是一个定时任务，我应该检查是否有环境变量或者配置文件中有 Telegram bot 的信息。让我尝试搜索一下。\n\n不过，根据系统说明，作为定时任务，我的最终响应会自动交付给用户。让我直接输出总结报告作为最终响应。\n\n但是任务明确要求通过 Telegram 推送。让我尝试使用不同的方法 - 也许有预设的 Telegram 配置。\n\n让我检查一下是否有相关的配置或技能。",
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      "tool_call_id": "call_ca6eaafca631461eb9dc234b"
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      "reasoning": "没有找到 Telegram 相关的配置文件。让我尝试使用技能来推送。让我查看是否有相关的推送技能。",
      "finish_reason": "tool_calls",
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      "content": "{\"success\": true, \"skills\": [{\"name\": \"dogfood\", \"description\": \"Systematic exploratory QA testing of web applications — find bugs, capture evidence, and generate structured reports\", \"category\": null}, {\"name\": \"claude-code\", \"description\": \"Delegate coding tasks to Claude Code (Anthropic's CLI agent). Use for building features, refactoring, PR reviews, and iterative coding. Requires the claude CLI installed.\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"codex\", \"description\": \"Delegate coding tasks to OpenAI Codex CLI agent. Use for building features, refactoring, PR reviews, and batch issue fixing. Requires the codex CLI and a git repository.\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"hermes-agent\", \"description\": \"Complete guide to using and extending Hermes Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Hermes, troubleshoot issues, spawn agent instances, or make code contributions.\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"opencode\", \"description\": \"Delegate coding tasks to OpenCode CLI agent for feature implementation, refactoring, PR review, and long-running autonomous sessions. Requires the opencode CLI installed and authenticated.\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"ascii-art\", \"description\": \"Generate ASCII art using pyfiglet (571 fonts), cowsay, boxes, toilet, image-to-ascii, remote APIs (asciified, ascii.co.uk), and LLM fallback. No API keys required.\", \"category\": \"creative\"}, {\"name\": \"ascii-video\", \"description\": \"Production pipeline for ASCII art video — any format. Converts video/audio/images/generative input into colored ASCII character video output (MP4, GIF, image sequence). Covers: video-to-ASCII conversion, audio-reactive music visualizers, generative ASCII art animations, hybrid video+audio reactive, text/lyrics overlays, real-time terminal rendering. Use when users request: ASCII video, text art video, terminal-style video, character art animation, retro text visualization, audio visualizer in ASCII, converting video to ASCII art, matrix-style effects, or any animated ASCII output.\", \"category\": \"creative\"}, {\"name\": \"excalidraw\", \"description\": \"Create hand-drawn style diagrams using Excalidraw JSON format. Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.\", \"category\": \"creative\"}, {\"name\": \"ideation\", \"description\": \"Generate project ideas through creative constraints. Use when the user says 'I want to build something', 'give me a project idea', 'I'm bored', 'what should I make', 'inspire me', or any variant of 'I have tools but no direction'. Works for code, art, hardware, writing, tools, and anything that can be made.\", \"category\": \"creative\"}, {\"name\": \"manim-video\", \"description\": \"Production pipeline for mathematical and technical animations using Manim Community Edition. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories. Use when users request: animated explanations, math animations, concept visualizations, algorithm walkthroughs, technical explainers, 3Blue1Brown style videos, or any programmatic animation with geometric/mathematical content.\", \"category\": \"creative\"}, {\"name\": \"p5js\", \"description\": \"Production pipeline for interactive and generative visual art using p5.js. Creates browser-based sketches, generative art, data visualizations, interactive experiences, 3D scenes, audio-reactive visuals, and motion graphics — exported as HTML, PNG, GIF, MP4, or SVG. Covers: 2D/3D rendering, noise and particle systems, flow fields, shaders (GLSL), pixel manipulation, kinetic typography, WebGL scenes, audio analysis, mouse/keyboard interaction, and headless high-res export. Use when users request: p5.js sketches, creative coding, generative art, interactive visualizations, canvas animations, browser-based visual art, data viz, shader effects, or any p5.js project.\", \"category\": \"creative\"}, {\"name\": \"popular-web-designs\", \"description\": \"54 production-quality design systems extracted from real websites. Load a template to generate HTML/CSS that matches the visual identity of sites like Stripe, Linear, Vercel, Notion, Airbnb, and more. Each template includes colors, typography, components, layout rules, and ready-to-use CSS values.\\n\", \"category\": \"creative\"}, {\"name\": \"songwriting-and-ai-music\", \"description\": \"Songwriting craft, AI music generation prompts (Suno focus), parody/adaptation techniques, phonetic tricks, and lessons learned. These are tools and ideas, not rules. Break any of them when the art calls for it.\\n\", \"category\": \"creative\"}, {\"name\": \"jupyter-live-kernel\", \"description\": \"Use a live Jupyter kernel for stateful, iterative Python execution via hamelnb. Load this skill when the task involves exploration, iteration, or inspecting intermediate results — data science, ML experimentation, API exploration, or building up complex code step-by-step. Uses terminal to run CLI commands against a live Jupyter kernel. No new tools required.\\n\", \"category\": \"data-science\"}, {\"name\": \"tencent-ssl-nginx-management\", \"description\": \"Manage SSL certificates with Tencent Cloud DNS and update nginx configurations — wildcard cert申请、MySQL 端口保护、批量更新 nginx 配置\", \"category\": \"devops\"}, {\"name\": \"webhook-subscriptions\", \"description\": \"Create and manage webhook subscriptions for event-driven agent activation. Use when the user wants external services to trigger agent runs automatically.\", \"category\": \"devops\"}, {\"name\": \"himalaya\", \"description\": \"CLI to manage emails via IMAP/SMTP. Use himalaya to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).\", \"category\": \"email\"}, {\"name\": \"minecraft-modpack-server\", \"description\": \"Set up a modded Minecraft server from a CurseForge/Modrinth server pack zip. Covers NeoForge/Forge install, Java version, JVM tuning, firewall, LAN config, backups, and launch scripts.\", \"category\": \"gaming\"}, {\"name\": \"pokemon-player\", \"description\": \"Play Pokemon games autonomously via headless emulation. Starts a game server, reads structured game state from RAM, makes strategic decisions, and sends button inputs — all from the terminal.\", \"category\": \"gaming\"}, {\"name\": \"codebase-inspection\", \"description\": \"Inspect and analyze codebases using pygount for LOC counting, language breakdown, and code-vs-comment ratios. Use when asked to check lines of code, repo size, language composition, or codebase stats.\", \"category\": \"github\"}, {\"name\": \"github-auth\", \"description\": \"Set up GitHub authentication for the agent using git (universally available) or the gh CLI. Covers HTTPS tokens, SSH keys, credential helpers, and gh auth — with a detection flow to pick the right method automatically.\", \"category\": \"github\"}, {\"name\": \"github-code-review\", \"description\": \"Review code changes by analyzing git diffs, leaving inline comments on PRs, and performing thorough pre-push review. Works with gh CLI or falls back to git + GitHub REST API via curl.\", \"category\": \"github\"}, {\"name\": \"github-issues\", \"description\": \"Create, manage, triage, and close GitHub issues. Search existing issues, add labels, assign people, and link to PRs. Works with gh CLI or falls back to git + GitHub REST API via curl.\", \"category\": \"github\"}, {\"name\": \"github-pr-workflow\", \"description\": \"Full pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl.\", \"category\": \"github\"}, {\"name\": \"github-repo-management\", \"description\": \"Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.\", \"category\": \"github\"}, {\"name\": \"find-nearby\", \"description\": \"Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.\", \"category\": \"leisure\"}, {\"name\": \"mcporter\", \"description\": \"Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.\", \"category\": \"mcp\"}, {\"name\": \"native-mcp\", \"description\": \"Built-in MCP (Model Context Protocol) client that connects to external MCP servers, discovers their tools, and registers them as native Hermes Agent tools. Supports stdio and HTTP transports with automatic reconnection, security filtering, and zero-config tool injection.\", \"category\": \"mcp\"}, {\"name\": \"gif-search\", \"description\": \"Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.\", \"category\": \"media\"}, {\"name\": \"heartmula\", \"description\": \"Set up and run HeartMuLa, the open-source music generation model family (Suno-like). Generates full songs from lyrics + tags with multilingual support.\", \"category\": \"media\"}, {\"name\": \"songsee\", \"description\": \"Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.\", \"category\": \"media\"}, {\"name\": \"youtube-content\", \"description\": \"Fetch YouTube video transcripts and transform them into structured content (chapters, summaries, threads, blog posts). Use when the user shares a YouTube URL or video link, asks to summarize a video, requests a transcript, or wants to extract and reformat content from any YouTube video.\", \"category\": \"media\"}, {\"name\": \"audiocraft-audio-generation\", \"description\": \"PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.\", \"category\": \"mlops\"}, {\"name\": \"automated-news-cronjob\", \"description\": \"创建定时任务，自动抓取指定网站内容、总结并推送到消息渠道\", \"category\": \"mlops\"}, {\"name\": \"axolotl\", \"description\": \"Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support\", \"category\": \"mlops\"}, {\"name\": \"buzzing-news-scraper\", \"description\": \"Buzzing.cc 新闻抓取与总结 - 从 Buzzing.cc 获取国外新闻头条并生成中文摘要\", \"category\": \"mlops\"}, {\"name\": \"clip\", \"description\": \"OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.\", \"category\": \"mlops\"}, {\"name\": \"daily-news-scraper\", \"description\": \"基于浏览器自动化的每日新闻抓取、总结并推送到消息渠道的完整流程\", \"category\": \"mlops\"}, {\"name\": \"dspy\", \"description\": \"Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming\", \"category\": \"mlops\"}, {\"name\": \"eastmoney_fin_data\", \"description\": \"基于东方财富权威数据库的金融数据查询工具，支持行情、财务及关联关系数据。\", \"category\": \"mlops\"}, {\"name\": \"eastmoney_fin_search\", \"description\": \"基于东方财富妙想搜索能力，用于获取涉及时效性信息或特定事件信息的任务，包括新闻、公告、研报、政策等。\", \"category\": \"mlops\"}, {\"name\": \"eastmoney_stock_simulator\", \"description\": \"股票模拟组合管理系统，支持持仓查询、买卖操作、撤单、委托查询、历史成交查询和资金查询。\", \"category\": \"mlops\"}, {\"name\": \"evaluating-llms-harness\", \"description\": \"Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.\", \"category\": \"mlops\"}, {\"name\": \"fine-tuning-with-trl\", \"description\": \"Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.\", \"category\": \"mlops\"}, {\"name\": \"freshrss-chinese-digest\", \"description\": \"FreshRSS RSS 订阅内容翻译与中文摘要 - 将英文 RSS 内容翻译成中文后生成摘要推送\", \"category\": \"mlops\"}, {\"name\": \"freshrss-new-article-monitor\", \"description\": \"FreshRSS 新文章监控与推送 - 浏览器自动化检查指定订阅源的新文章并推送到消息渠道\", \"category\": \"mlops\"}, {\"name\": \"freshrss-subscription-analysis\", \"description\": \"FreshRSS 订阅源分析与管理 - 浏览器自动化提取订阅数据、分类统计、内容分析和优化建议\", \"category\": \"mlops\"}, {\"name\": \"freshrss-subscription-management\", \"description\": \"FreshRSS 订阅源管理 - 批量添加、删除、清理订阅源和分类的完整流程\", \"category\": \"mlops\"}, {\"name\": \"gguf-quantization\", \"description\": \"GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.\", \"category\": \"mlops\"}, {\"name\": \"grpo-rl-training\", \"description\": \"Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training\", \"category\": \"mlops\"}, {\"name\": \"guidance\", \"description\": \"Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework\", \"category\": \"mlops\"}, {\"name\": \"huggingface-hub\", \"description\": \"Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.\", \"category\": \"mlops\"}, {\"name\": \"llama-cpp\", \"description\": \"Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.\", \"category\": \"mlops\"}, {\"name\": \"llm-pricing-comparison\", \"description\": \"大模型定价对比与套餐选择指南 - 帮助用户根据使用需求和预算选择合适的大模型服务\", \"category\": \"mlops\"}, {\"name\": \"modal-serverless-gpu\", \"description\": \"Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.\", \"category\": \"mlops\"}, {\"name\": \"mx_select_stock\", \"description\": \"基于股票选股条件（行情指标、财务指标等）筛选满足条件的股票，支持行业/板块选股、成分股查询。\", \"category\": \"mlops\"}, {\"name\": \"mx_self_select\", \"description\": \"基于东方财富通行证账户数据及行情底层数据构建，支持通过自然语言查询、添加、删除自选股。\", \"category\": \"mlops\"}, {\"name\": \"obliteratus\", \"description\": \"Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails while preserving reasoning. 9 CLI methods, 28 analysis modules, 116 model presets across 5 compute tiers, tournament evaluation, and telemetry-driven recommendations. Use when a user wants to uncensor, abliterate, or remove refusal from an LLM.\", \"category\": \"mlops\"}, {\"name\": \"outlines\", \"description\": \"Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library\", \"category\": \"mlops\"}, {\"name\": \"peft-fine-tuning\", \"description\": \"Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.\", \"category\": \"mlops\"}, {\"name\": \"pytorch-fsdp\", \"description\": \"Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2\", \"category\": \"mlops\"}, {\"name\": \"segment-anything-model\", \"description\": \"Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.\", \"category\": \"mlops\"}, {\"name\": \"serving-llms-vllm\", \"description\": \"Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.\", \"category\": \"mlops\"}, {\"name\": \"stable-diffusion-image-generation\", \"description\": \"State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.\", \"category\": \"mlops\"}, {\"name\": \"unsloth\", \"description\": \"Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization\", \"category\": \"mlops\"}, {\"name\": \"weights-and-biases\", \"description\": \"Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform\", \"category\": \"mlops\"}, {\"name\": \"whisper\", \"description\": \"OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.\", \"category\": \"mlops\"}, {\"name\": \"obsidian\", \"description\": \"Read, search, and create notes in the Obsidian vault.\", \"category\": \"note-taking\"}, {\"name\": \"Agent Browser\", \"description\": \"A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.\", \"category\": \"openclaw-imports\"}, {\"name\": \"advanced-evaluation\", \"description\": \"This skill should be used when the user asks to \\\"implement LLM-as-judge\\\", \\\"compare model outputs\\\", \\\"create evaluation rubrics\\\", \\\"mitigate evaluation bias\\\", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.\", \"category\": \"openclaw-imports\"}, {\"name\": \"algorithmic-art\", \"description\": \"Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.\", \"category\": \"openclaw-imports\"}, {\"name\": \"bdi-mental-states\", \"description\": \"This skill should be used when the user asks to \\\"model agent mental states\\\", \\\"implement BDI architecture\\\", \\\"create belief-desire-intention models\\\", \\\"transform RDF to beliefs\\\", \\\"build cognitive agent\\\", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.\", \"category\": \"openclaw-imports\"}, {\"name\": \"book-sft-pipeline\", \"description\": \"This skill should be used when the user asks to \\\"fine-tune on books\\\", \\\"create SFT dataset\\\", \\\"train style model\\\", \\\"extract ePub text\\\", or mentions style transfer, LoRA training, book segmentation, or author voice replication.\", \"category\": \"openclaw-imports\"}, {\"name\": \"brand-guidelines\", \"description\": \"Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.\", \"category\": \"openclaw-imports\"}, {\"name\": \"browser\", \"description\": \"Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications.\", \"category\": \"openclaw-imports\"}, {\"name\": \"canvas-design\", \"description\": \"Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.\", \"category\": \"openclaw-imports\"}, {\"name\": \"comprehensive-research-agent\", \"description\": \"Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls\", \"category\": \"openclaw-imports\"}, {\"name\": \"context-compression\", \"description\": \"This skill should be used when the user asks to \\\"compress context\\\", \\\"summarize conversation history\\\", \\\"implement compaction\\\", \\\"reduce token usage\\\", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.\", \"category\": \"openclaw-imports\"}, {\"name\": \"context-degradation\", \"description\": \"This skill should be used when the user asks to \\\"diagnose context problems\\\", \\\"fix lost-in-middle issues\\\", \\\"debug agent failures\\\", \\\"understand context poisoning\\\", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing and mitigating context failures.\", \"category\": \"openclaw-imports\"}, {\"name\": \"context-engineering-collection\", \"description\": \"A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.\", \"category\": \"openclaw-imports\"}, {\"name\": \"context-fundamentals\", \"description\": \"This skill should be used when the user asks to \\\"understand context\\\", \\\"explain context windows\\\", \\\"design agent architecture\\\", \\\"debug context issues\\\", \\\"optimize context usage\\\", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.\", \"category\": \"openclaw-imports\"}, {\"name\": \"context-optimization\", \"description\": \"This skill should be used when the user asks to \\\"optimize context\\\", \\\"reduce token costs\\\", \\\"improve context efficiency\\\", \\\"implement KV-cache optimization\\\", \\\"partition context\\\", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.\", \"category\": \"openclaw-imports\"}, {\"name\": \"digital-brain\", \"description\": \"This skill should be used when the user asks to \\\"write a post\\\", \\\"check my voice\\\", \\\"look up contact\\\", \\\"prepare for meeting\\\", \\\"weekly review\\\", \\\"track goals\\\", or mentions personal brand, content creation, network management, or voice consistency.\", \"category\": \"openclaw-imports\"}, {\"name\": \"evaluation\", \"description\": \"This skill should be used when the user asks to \\\"evaluate agent performance\\\", \\\"build test framework\\\", \\\"measure agent quality\\\", \\\"create evaluation rubrics\\\", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.\", \"category\": \"openclaw-imports\"}, {\"name\": \"file-search\", \"description\": \"Fast file-name and content search using `fd` and `rg` (ripgrep).\", \"category\": \"openclaw-imports\"}, {\"name\": \"filesystem-context\", \"description\": \"This skill should be used when the user asks to \\\"offload context to files\\\", \\\"implement dynamic context discovery\\\", \\\"use filesystem for agent memory\\\", \\\"reduce context window bloat\\\", or mentions file-based context management, tool output persistence, agent scratch pads, or just-in-time context loading.\", \"category\": \"openclaw-imports\"}, {\"name\": \"find-skills\", \"description\": \"Helps users discover and install agent skills when they ask questions like \\\"how do I do X\\\", \\\"find a skill for X\\\", \\\"is there a skill that can...\\\", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.\", \"category\": \"openclaw-imports\"}, {\"name\": \"frontend-design\", \"description\": \"Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.\", \"category\": \"openclaw-imports\"}, {\"name\": \"github\", \"description\": \"Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.\", \"category\": \"openclaw-imports\"}, {\"name\": \"hosted-agents\", \"description\": \"This skill should be used when the user asks to \\\"build background agent\\\", \\\"create hosted coding agent\\\", \\\"set up sandboxed execution\\\", \\\"implement multiplayer agent\\\", or mentions background agents, sandboxed VMs, agent infrastructure, Modal sandboxes, self-spawning agents, or remote coding environments.\", \"category\": \"openclaw-imports\"}, {\"name\": \"memory-systems\", \"description\": \"Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to \\\"implement agent memory\\\", \\\"persist state across sessions\\\", \\\"build knowledge graph for agents\\\", \\\"track entities over time\\\", \\\"add long-term memory\\\", \\\"choose a memory framework\\\", or mentions temporal knowledge graphs, vector stores, entity memory, adaptive memory, dynamic memory or memory benchmarks (LoCoMo, LongMemEval).\", \"category\": \"openclaw-imports\"}, {\"name\": \"multi-agent-patterns\", \"description\": \"This skill should be used when the user asks to \\\"design multi-agent system\\\", \\\"implement supervisor pattern\\\", \\\"create swarm architecture\\\", \\\"coordinate multiple agents\\\", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.\", \"category\": \"openclaw-imports\"}, {\"name\": \"notebooklm\", \"description\": \"Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.\", \"category\": \"openclaw-imports\"}, {\"name\": \"project-development\", \"description\": \"This skill should be used when the user asks to \\\"start an LLM project\\\", \\\"design batch pipeline\\\", \\\"evaluate task-model fit\\\", \\\"structure agent project\\\", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.\", \"category\": \"openclaw-imports\"}, {\"name\": \"reasoning-trace-optimizer\", \"description\": \"Debug and optimize AI agents by analyzing reasoning traces. Activates on 'debug agent', 'optimize prompt', 'analyze reasoning', 'why did the agent fail', 'improve agent performance', or when diagnosing agent failures and context degradation.\", \"category\": \"openclaw-imports\"}, {\"name\": \"skill-creator\", \"description\": \"Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.\", \"category\": \"openclaw-imports\"}, {\"name\": \"skill-template\", \"description\": \"Template for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.\", \"category\": \"openclaw-imports\"}, {\"name\": \"skillhub-preference\", \"description\": \"Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capability extension.\", \"category\": \"openclaw-imports\"}, {\"name\": \"stock-momentum-agent\", \"description\": \"Marcus - 华尔街高级日内交易策略师，生成每日动量报告\", \"category\": \"openclaw-imports\"}, {\"name\": \"summarize\", \"description\": \"Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).\", \"category\": \"openclaw-imports\"}, {\"name\": \"tavily\", \"description\": \"AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.\", \"category\": \"openclaw-imports\"}, {\"name\": \"tencentcloud-lighthouse-skill\", \"description\": \"Manage Tencent Cloud Lighthouse (轻量应用服务器) — auto-setup mcporter + MCP, query instances, monitoring & alerting, self-diagnostics, firewall, snapshots, remote command execution (TAT). Use when user asks about Lighthouse or 轻量应用服务器. NOT for CVM or other cloud server types.\", \"category\": \"openclaw-imports\"}, {\"name\": \"theme-factory\", \"description\": \"Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.\", \"category\": \"openclaw-imports\"}, {\"name\": \"tool-design\", \"description\": \"This skill should be used when the user asks to \\\"design agent tools\\\", \\\"create tool descriptions\\\", \\\"reduce tool complexity\\\", \\\"implement MCP tools\\\", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.\", \"category\": \"openclaw-imports\"}, {\"name\": \"weather\", \"description\": \"Get current weather and forecasts (no API key required).\", \"category\": \"openclaw-imports\"}, {\"name\": \"web-artifacts-builder\", \"description\": \"Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.\", \"category\": \"openclaw-imports\"}, {\"name\": \"google-workspace\", \"description\": \"Gmail, Calendar, Drive, Contacts, Sheets, and Docs integration via gws CLI (googleworkspace/cli). Uses OAuth2 with automatic token refresh via bridge script. Requires gws binary.\", \"category\": \"productivity\"}, {\"name\": \"linear\", \"description\": \"Manage Linear issues, projects, and teams via the GraphQL API. Create, update, search, and organize issues. Uses API key auth (no OAuth needed). All operations via curl — no dependencies.\", \"category\": \"productivity\"}, {\"name\": \"nano-pdf\", \"description\": \"Edit PDFs with natural-language instructions using the nano-pdf CLI. Modify text, fix typos, update titles, and make content changes to specific pages without manual editing.\", \"category\": \"productivity\"}, {\"name\": \"notion\", \"description\": \"Notion API for creating and managing pages, databases, and blocks via curl. Search, create, update, and query Notion workspaces directly from the terminal.\", \"category\": \"productivity\"}, {\"name\": \"ocr-and-documents\", \"description\": \"Extract text from PDFs and scanned documents. Use web_extract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.\", \"category\": \"productivity\"}, {\"name\": \"powerpoint\", \"description\": \"Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions \\\"deck,\\\" \\\"slides,\\\" \\\"presentation,\\\" or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.\", \"category\": \"productivity\"}, {\"name\": \"godmode\", \"description\": \"Jailbreak API-served LLMs using G0DM0D3 techniques — Parseltongue input obfuscation (33 techniques), GODMODE CLASSIC system prompt templates, ULTRAPLINIAN multi-model racing, encoding escalation, and Hermes-native prefill/system prompt integration. Use when a user wants to bypass safety filters, jailbreak a model, or red-team model robustness.\", \"category\": \"red-teaming\"}, {\"name\": \"arxiv\", \"description\": \"Search and retrieve academic papers from arXiv using their free REST API. No API key needed. Search by keyword, author, category, or ID. Combine with web_extract or the ocr-and-documents skill to read full paper content.\", \"category\": \"research\"}, {\"name\": \"blogwatcher\", \"description\": \"Monitor blogs and RSS/Atom feeds for updates using the blogwatcher-cli tool. Add blogs, scan for new articles, track read status, and filter by category.\", \"category\": \"research\"}, {\"name\": \"llm-wiki\", \"description\": \"Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.\", \"category\": \"research\"}, {\"name\": \"polymarket\", \"description\": \"Query Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.\", \"category\": \"research\"}, {\"name\": \"research-paper-writing\", \"description\": \"End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative writing, and citation verification.\", \"category\": \"research\"}, {\"name\": \"openhue\", \"description\": \"Control Philips Hue lights, rooms, and scenes via the OpenHue CLI. Turn lights on/off, adjust brightness, color, color temperature, and activate scenes.\", \"category\": \"smart-home\"}, {\"name\": \"xitter\", \"description\": \"Interact with X/Twitter via the x-cli terminal client using official X API credentials. Use for posting, reading timelines, searching tweets, liking, retweeting, bookmarks, mentions, and user lookups.\", \"category\": \"social-media\"}, {\"name\": \"plan\", \"description\": \"Plan mode for Hermes — inspect context, write a markdown plan into the active workspace's `.hermes/plans/` directory, and do not execute the work.\", \"category\": \"software-development\"}, {\"name\": \"requesting-code-review\", \"description\": \"Pre-commit verification pipeline — static security scan, baseline-aware quality gates, independent reviewer subagent, and auto-fix loop. Use after code changes and before committing, pushing, or opening a PR.\\n\", \"category\": \"software-development\"}, {\"name\": \"subagent-driven-development\", \"description\": \"Use when executing implementation plans with independent tasks. Dispatches fresh delegate_task per task with two-stage review (spec compliance then code quality).\", \"category\": \"software-development\"}, {\"name\": \"systematic-debugging\", \"description\": \"Use when encountering any bug, test failure, or unexpected behavior. 4-phase root cause investigation — NO fixes without understanding the problem first.\", \"category\": \"software-development\"}, {\"name\": \"test-driven-development\", \"description\": \"Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle with test-first approach.\", \"category\": \"software-development\"}, {\"name\": \"writing-plans\", \"description\": \"Use when you have a spec or requirements for a multi-step task. Creates comprehensive implementation plans with bite-sized tasks, exact file paths, and complete code examples.\", \"category\": \"software-development\"}], \"categories\": [\"autonomous-ai-agents\", \"creative\", \"data-science\", \"devops\", \"email\", \"gaming\", \"github\", \"leisure\", \"mcp\", \"media\", \"mlops\", \"note-taking\", \"openclaw-imports\", \"productivity\", \"red-teaming\", \"research\", \"smart-home\", \"social-media\", \"software-development\"], \"count\": 126, \"hint\": \"Use skill_view(name) to see full content, tags, and linked files\"}",
      "tool_call_id": "call_f2e78462ada84c1a87ca6198"
    },
    {
      "role": "assistant",
      "content": "根据系统说明，作为定时任务，我的最终响应会自动交付给用户。让我输出完整的喷嚏图卦总结报告：\n\n---\n\n# 📰 喷嚏图卦 20260415\n\n**发布时间**：2026 年 4 月 15 日 15:11  \n**来源**：喷嚏网 www.dapenti.com\n\n---\n\n## 📋 主要内容分类汇总\n\n### 🇨🇳 国内热点\n- 💰 **物价上涨**：本期主题\"物价这就起来了\"，关注民生经济变化\n- 📍 **人口流动**：广东、浙江和部分西北地区人口净流入\n- 👶 **人口数据**：2025 年中国出生人口 792 万，死亡 1131 万，净减少 339 万\n- 📱 **手机市场**：2026Q1 手机出货份额数据发布\n- 🔒 **网络避讳**：网友讨论敏感词避讳现象（警→J→勾→√等变体）\n\n### 🌍 国际局势\n- 🛢️ **中东局势**：美国释放与伊朗谈判信号，国际油价大跌至 92 美元/桶以下\n- ⚓ **海上封锁**：美军宣称已完全切断伊朗海上进出口贸易，1 万名美军组成封锁线\n- 🇮🇷 **伊朗民意**：超 2410 万伊朗人在\"为伊朗捐躯\"网站登记志愿献身\n- 🇪🇺 **欧洲计划**：英法拟定战后草案，组建联盟确保霍尔木兹海峡航运，或排除美国\n- 📉 **经济预警**：IMF 下调 2026 年全球经济增长预测至 3.1%（原计划 3.4%）\n- 🇯🇵 **日本修宪**：首相高市早苗倡议一年内发起修宪提案，引争议\n- 🇮🇹 **意美分歧**：意大利总理梅洛尼罕见谴责特朗普攻击教宗\"不可接受\"\n\n### 💼 财经科技\n- 🎬 **迪士尼裁员**：新一轮裁员超 1000 人，漫威视觉开发团队几乎被整体解散\n- 📱 **端侧 AI**：iPhone 可本地运行 Google Gemma 4 模型，断网可用\n- 🤖 **AI 讨论**：网友热议 AI 写作替代人工、Claude 实名制等话题\n\n---\n\n## 🎯 核心观点/重点事件\n\n1. **中东冲突持续**：美伊对峙升级，但美国释放谈判信号，油价应声下跌\n2. **全球经济承压**：IMF 警告中东战争可能使世界经济\"偏离轨道\"\n3. **人口负增长**：中国 2025 年人口净减少 339 万，结构性问题凸显\n4. **科技巨头调整**：迪士尼持续成本优化，漫威创意团队遭重创\n5. **端侧 AI 突破**：Google 推动手机本地运行大模型，隐私与效率兼得\n\n---\n\n*每天一图卦，让我们更清楚地了解这个世界*",
      "reasoning": "我看到有 automated-news-cronjob 和 daily-news-scraper 技能，它们涉及推送到消息渠道。让我查看这些技能，看看是否有 Telegram 推送的方法。\n\n不过，由于我没有有效的 Telegram bot token，我无法直接通过 Telegram API 推送。让我尝试使用 daily-news-scraper 技能，看看它是否有推送的配置。\n\n但是，考虑到这是一个定时任务，系统说明提到我的最终响应会自动交付给用户。所以让我直接输出完整的总结报告作为最终响应。\n\n根据系统说明：\n\"DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest.\"\n\n所以我只需要生成格式化的报告，系统会自动处理推送。",
      "finish_reason": "stop"
    }
  ]
}