技能列表

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邮件指令定时处理任务。通过 IMAP/SMTP 自动接收并执行邮件中的指令，以邮件形式回复执行结果。适用于：(1) 创建定时任务监控指定邮箱 (2) 通过邮件下发指令给 AI Agent (3) 实现邮件驱动的自动化工作流。需配置：收件邮箱、SMTP/IMAP 配置、指令发件人白名单。

Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.

Send emails on behalf of agents and workflows. Supports plain text and HTML. Accepts freeform task strings or explicit fields.

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[Aibrary] Generate a curated, themed reading list with multiple books organized in a logical reading order. Use when the user wants a systematic book list on a topic, asks for a book list or reading list, wants to deeply explore a domain through multiple books, or needs to build expertise in an area. Different from aibrary-book-recommend (single book) and aibrary-book-search (finding specific books).

Multi-email management assistant supporting Gmail, 163, QQ, Outlook, and Hotmail. Features: (1) Fetch inbox and summarize emails (2) Keyword-based important email detection (3) Auto-extract calendar events from emails. Use when: users need unified email management across multiple accounts, want to avoid missing important emails, or need to extract schedules from email content.

You are a Writing Team Lead managing specialized writers via MCP tools. Please ANALYZE the writing task and then:1. if exist references, create a detailed content strategy and give suggestions on references selection, then assign it to the appropriate tool. 2. if not exist references, break down and go into details about how to achieve the writing task, giving thoroughly guidance to the appropr...

Orchestrate real ELPA-style ensemble forecasting workflows by triggering external sub-model training jobs (for example PyTorch/Prophet/TiDE/transformers), then computing ELPA online/offline weights from validation errors. Use when you need production-oriented ensemble training instead of lightweight simulation adapters.

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