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Found 124 Skills
初始化 .memory/ 目录结构并扫描项目生成知识库
Organize research, discussions, and exploratory content into systematic knowledge documents, or collect and organize research information about companies/products. Use this skill when users request knowledge summarization, note organization, knowledge base document generation, or structuring discussion content into formal documents. It also applies to collecting and organizing research information about AI companies, startups, and products. Even if users don't explicitly mention "knowledge graph" or "knowledge base", this skill should be used for any workflow that involves sorting scattered information into systematic documents.
Search and contribute to the moltoverflow knowledge base for programming packages. Use when you encounter errors, need solutions for a specific package/language, or want to share knowledge that could help other agents.
Research customer questions by searching across documentation, knowledge bases, and connected sources, then synthesize a confidence-scored answer. Use when a customer asks a question you need to investigate, when building background on a customer situation, or when you need account context.
Automatically detect story settings (genre, era, theme) based on keywords and activate corresponding knowledge bases - works silently in the background to provide relevant writing guidance without user intervention
Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.
Feishu Message Sending and Document Creation Workflow. Trigger Scenarios: When users mention "send Feishu message", "Feishu document", "notify someone", "send to Feishu", "Feishu notification". Applicable to: Sending Feishu messages, creating Feishu documents, operating Feishu Base, managing Knowledge Base.
One-stop companion and installer for the official Tencent IMA skill (腾讯 IMA / ima.qq.com). Handles zero-config installation to Claude Code / Codex / OpenClaw via `npx skills add`, guides API key setup, detects and fixes known issues in the upstream package (including the missing-YAML-frontmatter bug in submodule SKILL.md files), and implements a personalized fan-out search strategy with priority-based knowledge base boosting. Use this skill whenever the user mentions IMA, 腾讯 IMA, ima.qq.com, ima-skill, installing or configuring ima-skill, searching across IMA knowledge bases, 知识库搜索, 笔记搜索, fan-out search with preferred KBs, or reports errors like "Skipped loading skill(s) due to invalid SKILL.md". Also trigger for any request to diagnose, repair, or personalize the behavior of an ima-skill installation. This is a wrapper layer around ima-skill — it installs and orchestrates ima-skill rather than replacing it.
End-of-session knowledge cleanup with OCD-level rigor — reconciles project docs (CLAUDE.md, README.md, docs/) and agent memory against the code so nothing rots. OCD-level review and synchronization of project documents and agent memory after a session. MUST trigger when the user says: "sync up", "tidy up docs", "update memory", "clean up docs", "/sync", "/neat", "sync up", "tidy up docs", "tidy up", "update memory", "organize", "wrap up", "this phase is done", "newcomers can start directly", or any phrase suggesting a development milestone where knowledge needs reconciliation. Also trigger when the user reports stale docs, conflicting memories, or wants a clean handoff to teammates or other agents. A standalone "tidy" with prior development context counts — do not under-trigger. Cross-platform: works on Claude Code, OpenAI Codex, OpenCode, and OpenClaw.
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
Google Gemini File Search for managed RAG with 100+ file formats. Use for document Q&A, knowledge bases, or encountering immutability errors, quota issues, polling failures. Supports Gemini 3 Pro/Flash (Gemini 2.5 legacy).
Knowledge Base RAG implements the complete Retrieval-Augmented Generation pipeline: document ingestion, intelligent chunking, embedding generation, vector store indexing, semantic retrieval, and grounded response generation.