Embeddings
Vector embeddings and similarity
context7
by trancong12102
Retrieve current library documentation and code examples from Context7. Use when looking up library APIs, "docs", specific library versions, or "how to use [library]". Prefer over training knowledge for library-specific questions. Do not use for general programming concepts.
aftermath
by mcxross
This skill should be used when the user asks about Aftermath Finance, Aftermath AMM, afSUI liquid staking, Aftermath pools, weighted pools, or wants to integrate with Aftermath on Sui. Covers weighted AMM pools, multi-coin swaps, deposits, withdrawals, LP tokens, and afSUI liquid staking.
langchain-embeddings
by christian-bromann
Guide to using embedding model integrations in LangChain including OpenAI, Azure, and local embeddings
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.
npm-search
by Mearman
Search for npm packages by keyword, name, or description. Use when the user asks to search npm packages, find packages related to a topic, or discover packages for a specific purpose.
x402-ecosystem
by rawgroundbeef
x402 ecosystem directory skill. Use when the user asks about x402 SDKs, libraries, facilitators, services, infrastructure, tools, or learning resources. Provides a searchable index of all projects in the x402 payment protocol ecosystem.
branded-types
by marius-townhouse
Use when primitive types need semantic distinction. Use when string or number types have different meanings. Use when you need nominal typing.
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.
mastering-postgresql
by SpillwaveSolutions
PostgreSQL development for Python with full-text search (tsvector, tsquery, BM25 via pg_search), vector similarity (pgvector with HNSW/IVFFlat), JSONB and array indexing, and production deployment. Use when creating search features, storing AI embeddings, querying vector similarity, optimizing PostgreSQL indexes, or deploying to AWS RDS/Aurora, GCP Cloud SQL/AlloyDB, or Azure. Covers psycopg2, psycopg3, asyncpg, SQLAlchemy integration, Docker development setup, and index selection strategies. Triggers are Use "PostgreSQL search", "pgvector", "BM25 postgres", "JSONB index", "psycopg", "asyncpg", "PostgreSQL Docker", "AlloyDB vector". Does NOT cover - DBA administration (backup, replication, users), MySQL/MongoDB/Redis, schema design theory, stored procedures.
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.
gcal
by naoterumaker
Google カレンダー操作（予定確認・作成・更新・削除）を gog CLI (v0.10.0) で行う。 「今日の予定は？」「明日のスケジュール」「ミーティング入れて」「予定を登録」 「カレンダー確認」「予定をキャンセル」「Google Meet作成」などで発火。
m3-web-vanilla
by shelbeely
Implement Material Design 3 using only vanilla CSS custom properties and semantic classes. Zero dependencies. Use this when building M3-styled static sites, simple web apps, or when you need full control over every design token without a framework.
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.
using-perplexity-for-context
by designnotdrum
"Automatically use Perplexity search for personalized context enrichment. Use when facing unfamiliar technologies, decision points, learning questions, or preference-dependent choices."
recall
by Genuifx
"Search and browse past session summaries saved in ~/.claude-done/. Use when the user says /recall, 'search history', 'find previous session', 'what did we do last time', 'look up past discussions', or wants to find earlier work."
langchain-vector-stores
by christian-bromann
Guide to using vector store integrations in LangChain including Chroma, Pinecone, FAISS, and memory vector stores
gcontacts
by naoterumaker
Google 連絡先操作（検索・作成・更新・削除）を gog CLI (v0.10.0) で行う。 「連絡先検索」「〇〇さんの電話番号」「連絡先追加」「連絡先一覧」 「アドレス帳から探して」「連絡先を更新」などで発火。
pyth
by mcxross
This skill should be used when the user asks about Pyth Network, Pyth oracle, price feeds on Sui, or wants to integrate Pyth price data into their Move contracts. Covers price feed updates, price queries, governance, and data source management.
search-gpus
by LiorZ
"Search for available GPU machines on Vast.ai. Use when looking for GPUs to rent, comparing GPU pricing, or finding machines that match specific requirements."
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.
xcpc-jiangly-style
by lihaoze123
Use when writing C++ competitive programming solutions for Codeforces, ICPC, or similar contests. Apply when creating XCPC solutions to ensure code follows jiangly's proven style patterns.
exa
by trancong12102
Search the web and extract content using Exa AI. Use when searching for current information, researching topics, fetching content from URLs, or finding code examples. Also use for competitive research, finding similar pages, or extracting structured content.
langchain-rag
by christian-bromann
Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document loaders, and text splitting
langchain-rag
by christian-bromann
Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document loaders, and text splitting