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找到 531 个相关结果 / RAG 与知识库
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domain-context
domain-context
Progressive Domain Crystallization (PDC) — a skill for building and maintaining a living domain knowledge base for any custom business application. Use this skill whenever the user is developing a business application and wants the AI to accumulate understanding of internal terminology, entities, relationships, and business rules over time — especially when that knowledge is not fully defined upfront and grows across sessions. Trigger on any of: "remember how our system works", "learn our domain", "track business entities", "build domain knowledge", "understand our terminology", "grow AI context over time", "domain model", "business rules documentation", or whenever a user says the AI doesn't understand their business-specific language or data model. Also use at the start of any session where a .tasks/domain.md file exists in the project — always read it before doing any work.
研究学习 / 检索整理
stock-quote
stock-quote
Retrieve real-time stock quotes using Octagon MCP. Use when you need current price, day range, 52-week range, volume, market cap, and moving averages for any…
研究学习 / 检索整理
build-zoom-video-sdk-app
build-zoom-video-sdk-app
Reference skill for Zoom Video SDK. Use after routing to a custom-session workflow when the user needs full control over the video experience rather than an…
研究学习 / 检索整理
literature-review
literature-review
Conduct a systematic literature review on an academic topic. Use when the user asks for a literature review, survey, or systematic overview of a research area.
研究学习 / 检索整理
knowledge-base-builder
knowledge-base-builder
FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection…
研究学习 / 检索整理
technical-writing
technical-writing
Expert technical writing guidelines for creating clear, in-depth developer tutorials and documentation with practical, implementable knowledge
研究学习 / 检索整理
qveris
qveris
Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock…
研究学习 / 检索整理
market-analysis
market-analysis
Use when analyzing markets or interpreting charts - applies technical indicators (RSI, MACD, Moving Averages), identifies support/resistance, analyzes…
研究学习 / 检索整理
msgraph
msgraph
Up-to-date Microsoft Graph API knowledge for AI agents. Search 27,700+ Graph APIs, endpoint docs, resource schemas, and community samples — all locally, no…
研究学习 / 检索整理
pubmed-search
pubmed-search
Search PubMed biomedical literature with natural language queries powered by Valyu semantic search. Full-text access, integrate into your AI projects.
研究学习 / 检索整理
cabinet-ai-knowledge-base
cabinet-ai-knowledge-base
AI-first knowledge base and startup OS with file-based storage, AI agents, scheduled jobs, and embedded apps
研究学习 / 检索整理
feishu-wiki
feishu-wiki
Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.
研究学习 / 检索整理
copilot-history-ingest
copilot-history-ingest
Ingest GitHub Copilot CLI session history into an Obsidian wiki as distilled knowledge pages. Use this skill when the user wants to capture their Copilot CLI sessions into a personal wiki — extracting architecture decisions, debug notes, and patterns into searchable Obsidian pages. Triggers on phrases like "ingest my copilot sessions into obsidian", "add my copilot history to my wiki", "pull my copilot session history into the vault", "capture what I've learned from copilot into obsidian", "just the new sessions since last time", or "mine patterns across my copilot sessions". Also triggers when the user mentions session-store.db, ~/.copilot/session-state, or VS Code copilot-chat transcripts in the context of building a wiki or knowledge base. Does NOT trigger for general copilot usage questions, searching sessions, or backing up history.
研究学习 / 检索整理
qdrant-clients-sdk
qdrant-clients-sdk
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
研究学习 / 检索整理
ai-rag-pipeline
ai-rag-pipeline
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via…
研究学习 / 检索整理
rag-implementation
rag-implementation
Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, vector…
研究学习 / 检索整理
llamaindex
llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices,…
研究学习 / 检索整理
grepai-storage-gob
grepai-storage-gob
Configure GOB local file storage for GrepAI. Use this skill for simple, single-machine setups.
研究学习 / 检索整理
ml-paper-writing
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying…
研究学习 / 检索整理
biomedical-search
biomedical-search
Complete biomedical information search combining PubMed, preprints, clinical trials, and FDA drug labels. Powered by Valyu semantic search.