Embeddings
Vector embeddings and similarity
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.
google-devdocs
by spm1001
Orchestrates Google developer documentation lookups via REST API using a 2-step search-then-retrieve workflow (curl + jq, no MCP). BEFORE scraping or guessing at Google API docs, invoke FIRST — returns fresh Markdown from 11 indexed sites including docs.cloud.google.com, firebase.google.com, developer.android.com, and ai.google.dev. Triggers on 'check the Google docs', 'look up the Firebase docs', 'what do the Cloud docs say', 'Google API documentation', 'search Google developer docs'. (user)
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
agent-memory-systems
by ncdevshiv
"Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector s..."
whizz-mind
by thoreinstein
Consult the whizz-mind knowledge base for documentation and answers. Use when the user asks questions that might be answered by stored documentation or when explicitly asked to check whizz-mind.
literature-research
by bahayonghang
This skill should be used when the user asks to "搜索文献", "查找学术资料", "搜索最新研究", "literature search", "find papers", "search academic literature", "latest research", or mentions specific academic domains like AI, machine learning, computer science research. Provides comprehensive academic literature search and analysis capabilities for WeChat content creation.
web-search
by tmustier
Web search and content extraction toolkit. Use for searching documentation, facts, current information, or extracting readable content from URLs. Supports multiple providers (ddgs keyless, brave_api with key), caching, and safe defaults. Prefer this over browser-tools when no interaction is needed.
exploring-in-parallel
by oryanmoshe
Parallelizes codebase exploration and research by launching multiple subagents simultaneously. Use when exploring codebases, researching questions, investigating bugs, gathering context from multiple sources, or any task requiring search across multiple files, patterns, or directories. Triggers on research, exploration, debugging, "why does this happen", "how does X work", or multi-file investigation.
npms-suggest
by Mearman
Get npm package name suggestions and autocomplete from NPMS.io. Use when the user asks for package name suggestions, wants to autocomplete a package name, or search for packages by name pattern.
code-examples
by krmcbride
Find real-world code examples across millions of GitHub repositories. Use when the user wants to see how others implement something, find usage patterns, or discover code examples in the wild.
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.
langchain-text-splitters
by christian-bromann
Guide to using text splitter integrations in LangChain including recursive, character, and semantic splitters
skiplagged-travel-search
by skiplagged
This skill should be used when the user asks to "find flights", "compare itineraries", "search hidden-city routes", "check cheapest dates", "explore destinations anywhere", "search hotels", or "plan a trip". Ground outputs in Skiplagged MCP tool results for flights, fare calendars, anywhere discovery, and hotels.
@tank/gmail
by tankpkg
"Send, read, search, label, and manage email through the Gmail API. Covers composing (plain text, HTML, attachments), thread-aware replies, Gmail search query syntax (from:, to:, has:attachment, after:), label management, filter automation, and draft workflows. Triggers: gmail, email, send email, read email, search email, attachment, label, filter, thread, draft, Gmail API, compose, reply, forward, inbox, MIME."
semantic-compressor
by evanfang0054
带质量保证循环的agent/skill压缩。5阶段迭代流程确保理解保留。 触发词: semantic-compressor, compress skill, optimize agent, reduce tokens, benchmark
vaults
by CaseMark
Manages case.dev encrypted document vaults for legal workflows. Creates vaults, uploads files and directories, lists and downloads objects, and runs semantic search across vault contents. Use when the user mentions "vault", "upload documents", "document storage", "download files", "vault search", or needs to manage case files and discovery documents.
@tank/llm-app-patterns
by tankpkg
Build production-grade LLM-powered applications — RAG systems, tool-using agents, structured output extraction, streaming responses, and cost optimization. Covers the full engineering stack for apps built on top of foundation models, not model training. Synthesizes Huyen (AI Engineering), Brousseau & Sharp (LLMs in Production), Bouchard & Peters (Building LLMs for Production), Lanham (AI Agents in Action), Arsanjani & Bustos (Agentic Architectural Patterns), Rothman (RAG-Driven Generative AI). Trigger phrases: "RAG", "retrieval-augmented generation", "vector search", "chunking strategy", "embedding", "reranking", "hybrid search", "tool use", "function calling", "tool calling", "agent", "agentic", "multi-agent", "orchestrator", "structured output", "JSON mode", "Instructor", "Pydantic", "streaming", "server-sent events", "SSE", "token streaming", "LLM cost", "model routing", "semantic cache", "prompt caching", "LLM evaluation", "LLM-as-judge", "RAGAS", "hallucination", "faithfulness", "golden dataset", "LLM in production", "LLMOps", "build with LLMs", "LLM application"
tailwind-dashboard
by peixotorms
Use when building admin dashboards, data tables, CRUD interfaces, back-office panels, or management consoles with Tailwind CSS. Covers advanced tables with sorting, filtering, pagination, expandable rows, CRUD layouts, create/update/delete modals, create/update drawers, dashboard navbars, dashboard footers, faceted search, dropdown filters, side navigation, read sections, success messages, table headers, table footers, bulk actions, data export.
web-search-pro
by Zjianru
Multi-engine web search with full parameter control. Supports Tavily, Exa, Serper, and SerpAPI with domain filtering, date ranges, deep search, news mode, and content extraction. Auto-selects the best engine based on query type and available API keys. 多引擎精细化搜索：支持域名过滤、日期范围、深度搜索、新闻模式、内容提取。 根据查询类型和可用 API Key 自动选择最优引擎。
agno
by AbhishekSharma-17
"Build AI agents, multi-agent teams, and agentic workflows using the Agno framework. MANDATORY TRIGGERS: Agno, agno-agi, AgentOS, any mention of the Agno framework. Also trigger when the user wants to build AI agents with tools/memory/knowledge, create multi-agent systems, RAG pipelines, reasoning agents, agentic workflows, or deploy agents to production. Trigger even if the user just says 'build me an agent', 'create an AI assistant', or 'make a chatbot' — if Agno is anywhere in their stack or project dependencies. When in doubt about whether to use this skill for agent-building tasks, use it."
perplexity-search
by dotneet
A skill for performing web searches, research, and reasoning using the Perplexity API. Handles real-time web information retrieval, deep research analysis, and advanced reasoning tasks. Use when the user asks for web searches, research, or says things like "look up", "search for", "latest information", "research", or "analyze".
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.