search▌

Intelligent multi-engine search with automatic network detection and fallback prioritization. \n \n Supports four search engines with two priority modes: quality-first (Tavily > DuckDuckGo > Bing API > Bing scraper) or balanced/free-first (DuckDuckGo > Tavily > Bing API > Bing scraper) \n Includes automatic quota management for API-based engines, 5-minute network detection caching, and forced re-detection after network changes \n Provides web content fetching and batch enrichment of search resul

Natural language semantic search across arXiv's complete preprint archive in physics, math, and computer science. \n \n Accepts plain English queries without requiring complex search parameter syntax; powered by Valyu's semantic search API \n Returns full article text, abstracts, and embedded figures from matching papers with relevance scores \n Requires a free Valyu API key ($10 credits available) and Node.js 18+ \n Supports filtering by result count and integrates with jq for extracting titles

Search Gmail messages by query and export results for offline review. \n \n Requires the gws-gmail skill as a prerequisite dependency \n Supports Gmail query syntax for filtering by sender, date, labels, and other message properties \n Exports search results to JSON format for further processing or archival \n Retrieves full message details including headers and body content for selected emails \n

Search your coding memory for past work, sessions, and implementation details. \n \n Queries personal session memories, project/repo memories, or both in parallel using optional scope flags ( --user , --repo , --both ) \n Returns formatted results with timestamps and relevance scores to help recall previous decisions, implementations, and coding patterns \n Designed for retrieving context about past work when users ask about earlier sessions, how something was implemented, or what they worked on

Efficient similarity search patterns for vector databases and semantic retrieval systems. \n \n Covers four major vector database implementations: Pinecone, Qdrant, pgvector with PostgreSQL, and Weaviate, each with production-ready code templates \n Explains three index types (Flat, HNSW, IVF+PQ) with trade-offs between search speed, recall accuracy, and data scale \n Includes four distance metrics (Cosine, Euclidean, Dot Product, Manhattan) and guidance on when to use each \n Demonstrates hybri

Web search optimized for AI agents with real-time data retrieval. \n \n Single command interface ( scripts/search ) for querying the web with results tailored for agent consumption \n Supports JSON output formatting for structured data integration into agent workflows \n Requires Tavily API key for authentication; free API key available from tavily.com \n

Web search and content extraction via Tavily and Exa APIs through inference.sh CLI. \n \n Five search and extraction apps: Tavily Search Assistant (AI-powered answers with sources), Tavily Extract (multi-URL content extraction), Exa Search (smart web search), Exa Answer (direct factual responses), and Exa Extract (web page analysis) \n Designed for research workflows, RAG pipelines, fact-checking, and content aggregation with LLM integration examples \n Requires inference.sh CLI ( infsh ) instal

Use scripts/serper_search.py to call the Serper API and return JSON search results.

Modern file and content search.

The useSearchParams hook requires TWO things: