Embeddings
Vector embeddings and similarity
spice-setup
by spiceai
Get started with Spice.ai — install the runtime, initialize a project, run the runtime, and use the CLI. Use when setting up a new Spice project, installing Spice, running spice run, looking up CLI commands, API endpoints, deployment models, or creating a spicepod.yaml.
rag-evaluation
by latestaiagents
Test and benchmark RAG systems with proper metrics and evaluation frameworks. Use this skill when evaluating RAG quality, measuring retrieval performance, using RAGAS metrics, or building RAG test suites. Activate when: RAG evaluation, RAG testing, RAGAS, retrieval metrics, faithfulness, relevance, context precision, RAG benchmarking.
spice-search
by spiceai
Search data using vector similarity, full-text keywords, or hybrid methods with Reciprocal Rank Fusion (RRF). Use when setting up embeddings for search, configuring full-text indexing, writing vector_search/text_search/rrf SQL queries, using the /v1/search HTTP API, or configuring vector engines like S3 Vectors.
people-property
by Merit-Systems
Search for people and properties using Whitepages APIs via x402. USE FOR: - Finding people by name and location - Address lookups and verification - Property owner information - Background research (with legitimate purpose) TRIGGERS: - "find person", "lookup person", "who lives at" - "property owner", "property search", "address lookup" - "person at address", "contact info for" IMPORTANT: These endpoints contain personal information. Use responsibly and only for legitimate purposes. See rules/privacy.md for guidance. Both endpoints are $0.44 per call. IMPORTANT: Never guess endpoint paths. All paths follow the pattern https://enrichx402.com/api/{provider}/{action}. Use exact URLs from the Quick Reference table below or call x402.discover_api_endpoints first.
ai-twitter-radar
by swannysec
Discover trending AI tools, news, and insights from influential developers and AI advocates on Twitter/X using Bird CLI. Use PROACTIVELY when users need: (1) AI-related tweets, tools, or discussions from Twitter (2) What influential AI developers are currently talking about (3) AI news and trends from social media (4) Developer sentiment on AI tools and frameworks (5) New AI projects being shared on Twitter This is a READ-ONLY skill - no posting, liking, or account modifications. Triggers: "AI Twitter", "trending AI tools", "AI news Twitter", "what are AI developers saying", "AI tweets", "Twitter AI trends", "developer sentiment AI", "AI influencers"
ddgr
by ysm-dev
Search the web using DuckDuckGo via the ddgr CLI tool. Use when the user asks to search the web, look something up online, find information on the internet, get instant answers, or needs current/real-time data. Also use for DuckDuckGo Bang searches (e.g., "!w" for Wikipedia, "!so" for StackOverflow).
vim-motions
by 1Mangesh1
Vim keybindings, motions, text objects, and operators for efficient text editing. Use when user asks about "vim commands", "vim motions", "text objects", "vim keybindings", "vim cheat sheet", "learn vim", "vim in VS Code", or any Vim editing tasks.
chunking-strategies
by latestaiagents
Optimize document chunking for RAG performance and retrieval quality. Use this skill when splitting documents, choosing chunk sizes, implementing semantic chunking, or improving RAG retrieval accuracy. Activate when: chunking, split documents, chunk size, text splitting, document processing, RAG performance, semantic chunking, overlap.
gh
by adampoit
Use the GitHub CLI (gh) for repository operations including PR and issue inspection, GitHub search, checks, and API calls. Use when a user asks for GitHub URLs, PR metadata, issue details, checks, or repository automation.
ai-dev-research
by swannysec
World-expert deep technical research agent for AI-enabled software development. Use PROACTIVELY when users need: (1) Deep research on AI/ML development topics (RAG, agents, LLMs, embeddings, vector DBs, prompt engineering, fine-tuning) (2) Technical consultation on AI architectures, tool selection, or implementation approaches (3) Implementation guidance with production-ready patterns and best practices (4) Comparative analysis of AI frameworks, models, or services (5) Current state-of-the-art analysis with authoritative citations Triggers: "research AI", "compare LLMs", "RAG architecture", "agentic workflow", "AI coding tools", "which model should I use", "how does X work in AI", "best practices for AI development", "production AI systems", "AI implementation guidance"
dive
by lidessen
Dives deep into project questions using layered investigation (docs → code → analysis) to provide evidence-based answers with file:line citations. Use when asking "how does X work", "what is Y", "where is Z", or investigating features, APIs, configuration, codebase structure, or technical decisions.
meilisearch
by mikkelkrogsholm
"Meilisearch — fast, open-source search engine with typo tolerance, faceted search, and AI-powered hybrid search. Use when building with Meilisearch or asking about its index configuration, search parameters, filters, facets, API keys, geosearch, ranking rules, or integration with JavaScript/TypeScript clients. Fetch live documentation for up-to-date details."
local-search
by Merit-Systems
Search for places, businesses, and locations using Google Maps APIs via x402. USE FOR: - Finding businesses by name or type - Searching nearby places - Getting detailed place information (address, hours, reviews) - Finding restaurants, stores, services in an area - Getting business ratings and reviews TRIGGERS: - "find", "search for", "locate", "nearby" - "restaurants near", "hotels in", "stores around" - "business details", "opening hours", "reviews for" - "places in", "what's near", "directions to" Choose partial ($0.02) vs full ($0.05-0.08) based on data needs. IMPORTANT: Never guess endpoint paths. All paths follow the pattern https://enrichx402.com/api/{provider}/{action}. Use exact URLs from the Quick Reference table below or call x402.discover_api_endpoints first.
tanstack-router
by mikkelkrogsholm
"TanStack Router — fully type-safe router for React with file-based routing, search params validation, loaders, and built-in caching. Use when building with TanStack Router or asking about its route configuration, file-based routing, type-safe links, search params, loaders, or navigation patterns. Fetch live documentation for up-to-date details."
web-research
by Merit-Systems
Neural web search and content extraction using x402-protected APIs. Better than WebSearch for deep research and WebFetch for blocked sites. USE FOR: - Deep web research and investigation - Finding similar pages to a reference URL - Extracting clean text from web pages - Scraping sites that block standard fetchers - Getting direct answers to factual questions - Research requiring multiple sources TRIGGERS: - "research", "investigate", "deep dive", "find sources" - "similar to", "pages like", "more like this" - "scrape", "extract content from", "get the text from" - "blocked site", "can't access", "paywall" - "what is", "explain", "answer this" Prefer Exa for semantic/neural search, Firecrawl for direct scraping. IMPORTANT: Never guess endpoint paths. All paths follow the pattern https://enrichx402.com/api/{provider}/{action}. Use exact URLs from the Quick Reference table below or call x402.discover_api_endpoints first.
spicepod-config
by spiceai
Create and configure Spicepod manifests (spicepod.yaml). Use when asked to "create a spicepod", "configure spicepod.yaml", "set up a Spice app", "initialize Spice project", "configure caching", "set up observability", "build a data app", or "create an AI application with Spice".
gemini-embeddings
by akrindev
Generate text embeddings using Gemini Embedding API via scripts/. Use for creating vector representations of text, semantic search, similarity matching, clustering, and RAG applications. Triggers on "embeddings", "semantic search", "vector search", "text similarity", "RAG", "retrieval".
social-intelligence
by Merit-Systems
Search and monitor social media using X/Twitter (via Grok) and Reddit APIs. USE FOR: - Searching X/Twitter posts by keywords or hashtags - Finding X/Twitter users by criteria - Getting a user's recent posts - Searching Reddit posts and discussions - Getting comments from Reddit threads - Social media monitoring and research TRIGGERS: - "twitter", "X", "tweets", "posts on X" - "reddit", "subreddit", "reddit discussion" - "what are people saying", "social media", "sentiment" - "trending", "viral", "popular posts" - "user's posts", "timeline", "recent activity" Use x402.fetch for Grok (X) and Reddit endpoints. All endpoints are $0.02 per call. IMPORTANT: Never guess endpoint paths. All paths follow the pattern https://enrichx402.com/api/{provider}/{action}. Use exact URLs from the Quick Reference table below or call x402.discover_api_endpoints first.
news-shopping
by Merit-Systems
Search Google News and Google Shopping using Serper APIs via x402. USE FOR: - Finding recent news articles on a topic - Current events and breaking news - Product searches and price comparisons - Shopping research and product discovery - Industry news monitoring TRIGGERS: - "news about", "latest news", "recent articles" - "current events", "breaking", "headlines" - "shopping", "buy", "price", "product search" - "compare prices", "where to buy", "deals on" Both endpoints are $0.04 per call. IMPORTANT: Never guess endpoint paths. All paths follow the pattern https://enrichx402.com/api/{provider}/{action}. Use exact URLs from the Quick Reference table below or call x402.discover_api_endpoints first.
hybrid-retrieval
by latestaiagents
Implement hybrid search combining vector and keyword retrieval for RAG systems. Use this skill when building RAG retrieval, combining semantic search with BM25, implementing reciprocal rank fusion (RRF), or optimizing retrieval accuracy. Activate when: vector search, keyword search, BM25, semantic search, hybrid RAG, retrieval optimization, search relevance, reranking.
upstash
by mikkelkrogsholm
"Upstash — serverless Redis, QStash, and Vector database with per-request pricing optimized for edge and serverless environments. Use when building with Upstash or asking about its Redis client, QStash message queuing, rate limiting, workflows, or vector search. Fetch live documentation for up-to-date details."
jp-grants
by tumf
Collect and answer questions about Japanese subsidies/grants (補助金・助成金) with up-to-date sources. Use when a user asks: which programs they qualify for, eligibility, deadlines, required documents, application steps, or where to find official calls for proposals (e.g. J-Grants, METI/SME Agency, MHLW, prefectures/municipalities). Includes workflows and scripts for web search + structured extraction with citations.
production-rag-checklist
by latestaiagents
Deploy RAG systems to production with proper architecture, monitoring, and operations. Use this skill when deploying RAG to production, scaling retrieval systems, implementing RAG monitoring, or building enterprise RAG infrastructure. Activate when: production RAG, RAG deployment, enterprise RAG, RAG architecture, RAG monitoring, RAG scaling, RAG infrastructure, RAG ops.
corrective-rag
by latestaiagents
Implement Corrective RAG (CRAG) and Self-RAG for reliable, self-healing retrieval systems. Use this skill when building reliable RAG, preventing hallucinations, implementing retrieval evaluation, or adding self-correction to RAG pipelines. Activate when: corrective RAG, CRAG, self-RAG, hallucination prevention, retrieval evaluation, RAG reliability, self-healing RAG, document grading.