Embeddings
Vector embeddings and similarity
Getting Started with Research Superpowers
by kthorn
Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal
zotero-mcp-code
by kerim
Search Zotero library using code execution for efficient multi-strategy searches without crash risks. Use this skill when the user needs comprehensive Zotero searches with automatic deduplication and ranking.
drug-labels-search
by yorkeccak
Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.
drugbank-search
by yorkeccak
Search DrugBank comprehensive drug database with natural language queries. Drug mechanisms, interactions, and safety data powered by Valyu.
file_explorer
by ArcaneOrion
高效的项目文件浏览器。当需要列出整个项目结构、模糊搜索文件或安全地读取（支持大文件分块）本地代码库内容时使用。
arxiv-search
by DeevsDeevs
"Search arXiv preprint repository for research papers in physics, mathematics, computer science, quantitative biology, finance, and statistics. Use when finding academic papers, preprints, ML research, scientific publications. Triggers: arxiv, preprint, research paper, academic paper, scientific literature."
meta-searching
by shrwnsan
Extracts web content and performs reliable searches when standard tools fail due to access restrictions, rate limiting, or validation errors. Use when encountering 403/429/422 errors, blocked documentation sites, or silent search failures. Direct tool execution often fails for these scenarios - search-plus agent delegation provides the most reliable results.
Retrieve relevant information through RAG
by run-llama
Leverage Retrieval Augmented Generation to retrieve relevant information from a a LlamaCloud Index. Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
exa-entities
by ejirocodes
"Exa.ai company and people search for lead generation, competitive intelligence, and data enrichment. Use when searching for companies, finding people profiles, building lead gen tools, or implementing Websets for data collection at scale. Triggers on: Exa company search, Exa people search, category company, lead generation, company research, profile search, LinkedIn profiles, Websets API, data enrichment, company lookup, find companies, competitive intelligence, recruiting, talent search, 1B profiles."
exa-rag
by ejirocodes
"Build RAG pipelines with Exa.ai for real-time web retrieval. Use when building retrieval-augmented generation, integrating Exa with LangChain, LlamaIndex, Vercel AI SDK, or implementing AI agents with web search capabilities. Triggers on: RAG pipeline, retrieval augmented generation, Exa LangChain, Exa LlamaIndex, ExaSearchRetriever, ExaSearchResults, Exa MCP, Exa tool calling, Claude tool use, AI agent web search, grounded generation, citation generation, fact checking, hallucination detection, OpenAI compatibility, chat completions."
exa-search
by ejirocodes
"Exa.ai search API integration for neural and keyword web search with content retrieval. Use when implementing web search features, integrating Exa SDK (exa_py, exa-js), or retrieving web content. Triggers on: Exa, exa_py, exa-js, neural search, web search API, search_and_contents, searchAndContents, find_similar, findSimilar, domain filtering, date filtering, text extraction, page summaries, highlights, search auto mode, fast search, search categories, livecrawl, excluding domains, include text, exclude text, EXA_API_KEY."
embedding-pipeline-builder
by patricio0312rev
Builds document embedding pipelines with text chunking, embedding generation, indexing, and retrieval optimization. Use when users request "embedding pipeline", "document indexing", "text chunking", "RAG preprocessing", or "semantic indexing".
rag-pipeline-builder
by patricio0312rev
Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadata schemas, retrieval algorithms, reranking, and evaluation plans. Use when building "RAG systems", "document search", "semantic search", or "knowledge bases".
search
by aviflombaum
Search project documentation using qmd semantic search. Use BEFORE grepping/globbing indexed directories. Triggers on any task involving finding docs, plans, or other indexed markdown content.
quarterly-connect
by toddward
Assist users in creating quarterly connects that act as a strategic partner to guide employees through comprehensive quarterly reflections, helping craft insightful narratives for Quarterly Connection reviews that align with company values and career development goals.
upstash-vector-db-skills
by gocallum
Upstash Vector DB setup, semantic search, namespaces, and embedding models (MixBread preferred). Use when building vector search features on Vercel.
blucli
by malue-ai
BluOS CLI (blu) for discovery, playback, grouping, and volume.
goplaces
by malue-ai
Query Google Places API (New) via the goplaces CLI for text search, place details, resolve, and reviews. Use for human-friendly place lookup or JSON output for scripts.
searxng-search
by walterra
Web search and content extraction via SearXNG metasearch engine. Use when you need to search the web, look up documentation, research APIs, find current information, or extract content from URLs. No API keys required, no rate limits, privacy-preserving.
clawdhub
by malue-ai
Use the ClawdHub CLI to search, install, update, and publish agent skills from clawdhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawdhub CLI.
gog
by malue-ai
Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.
local-places
by malue-ai
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
gifgrep
by malue-ai
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.
elite-longterm-memory
by NextFrontierBuilds
"Ultimate AI agent memory system. Combines bulletproof WAL protocol, vector search, git-based knowledge graphs, cloud backup, and maintenance hygiene. Never lose context again. For Clawdbot, Moltbot, Claude, GPT agents."