sear
Semantic search and RAG for documents. Use when user needs to index PDF/DOCX/text files, perform semantic search, extract relevant content from document corpuses, or build RAG applications. Supports multi-corpus search, GPU acceleration, line-level citations, and document conversion with OCR.
ai-native-development
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
docling
Docling document parser for PDF, DOCX, PPTX, HTML, images, and 15+ formats. Use when parsing documents, extracting text, converting to Markdown/HTML/JSON, chunking for RAG pipelines, or batch processing files. Triggers on DocumentConverter, convert, convert_all, export_to_markdown, HierarchicalChunker, HybridChunker, ConversionResult.
notebooklm
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.
perplexity
AI-powered search engine with real-time web grounding and citations
tavily
Tavily AI search API integration via curl. Use this skill to perform live web search and RAG-style retrieval.
rag-architect
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
personal-material-search
快速搜索用户的真实经历、观点和案例素材库（1800+条记录），为内容增加真实性和可信度。当用户提到"真实经历"、"个人案例"、"有根据"、"实际经验"、"素材库"、"找例子"时使用此技能。
langchain
Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on LangChain, LangGraph, LCEL, RAG, retrieval, agent chain.
weaviate-query-agent
Search and retrieve data from local Weaviate using semantic search, filters, RAG, and hybrid queries
api-digest
Use when user asks for digest ("дайджест", "саммари", "что нового", "digest", "summary") - fetches data via API and generates detailed analysis
mcp-local-rag
Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
google-gemini-file-search
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search-company-knowledge
Search across company knowledge bases (Confluence, Jira, internal docs) to find and explain internal concepts, processes, and technical details. When Claude needs to: (1) Find or search for information about systems, terminology, processes, deployment, authentication, infrastructure, architecture, or technical concepts, (2) Search internal documentation, knowledge base, company docs, or our docs, (3) Explain what something is, how it works, or look up information, or (4) Synthesize information from multiple sources. Searches in parallel and provides cited answers.
context-engine
Codebase search and context retrieval for any programming language. Hybrid semantic/lexical search with neural reranking. Use for code lookup, finding implementations, understanding codebases, Q&A grounded in source code, and persistent memory across sessions.
aeo-optimization
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
llm-application-dev
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
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