Agent skills

AI & Agents skills

Read straight from the source repositories, not from submitted listings. Every skill shows what it does, what is inside, where it came from — and whether attention around its source is actually growing.

Toolclaude-code 29,140codex 4,755cursor 3,111copilot 976windsurf 55cline 34
CategoryWorkflow & Productivity 4,979AI & Agents 3,037Data & Analytics 2,345Code Review & Quality 1,376Backend & API 1,244Security 1,194Design & Presentation 1,154Documentation 965Content & Marketing 916Testing & QA 777DevOps & Cloud 576Databases 550Frontend 469Business & Finance 328Media & Video 257Other 9,833
4,965 found
1,633–1,680 · page 35 / 104
kirby-project-tourMaps a Kirby project using Kirby MCP tools/resources, including roots, templates, snippets, controllers, models, blueprints…majiayu000kit-agent-development(ePost) This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent…majiayu000knowledge-distillationCompress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models…Orchestra-ResearchKotlin/Jetpack Compose DevelopmentExpert skill for native Android development with Kotlin and Jetpack Composea5c-aikscaleK-Scale Labs robotics skill collection - unified index for humanoid robot development, RL training, sim-to-real transfer, and…majiayu000kscaleK-Scale Labs robotics skill collection - unified index for humanoid robot development, RL training, sim-to-real transfer, and…majiayu000kubesphere-cluster-managementKubeSphere cluster query Skill (read-only). Use when user requests to view cluster list, cluster status, cluster details, or…kubespherekubesphere-extension-managementKubeSphere extension management Skill. Use when user requests to install, configure, upgrade, uninstall extensions, or query…kubespherelag-compensationLag compensation skill for client-side prediction and rollback.a5c-aiwriteslangchain-agentAI agent with tools (search, calculator) using LangGraph and AI SDK.majiayu000langchain-agentsLangChain provides a standard interface for building LLM agents that can use tools. Modern agent development is moving toward…majiayu000langchainFramework for building applications with large language models and chains.majiayu000langchain-architectureMaster the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration.majiayu000langchain-ecosystemComplete guide for LangChain, LangGraph, and Deep Agents development. Covers framework selection, agents, tools, RAG, middleware…majiayu000langchain-jsBuilds LLM-powered applications with LangChain.js for chat, agents, and RAG. Use when creating AI applications with chains…majiayu000langchain-memoryLangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memorya5c-aiwriteslangchain-middlewareINVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers…majiayu000langchain-modelsInitialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and…majiayu000Langchain PatternsLangChain is a framework for building applications powered by LLMs. It helps manage the complexity of prompt chaining, memory…majiayu000langchain_patternsImplement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores…majiayu000writeslangchain-ragINVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders…majiayu000langchain-ragBuild Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document…majiayu000langchain-retrieval-agentAI agent with retrieval tool for document Q&A using RAG and LangGraph.majiayu000langchain-retrievalDocument Q&A with RAG using Supabase pgvector store.majiayu000langchain-retrieverLangChain retriever implementation with various retrieval strategies for RAG applicationsa5c-aiwriteslangchain-sdk-patternsApply production-ready LangChain SDK patterns for chains, agents, and memory. Use when implementing LangChain integrations…majiayu000writeslangchain-toolsLangChain tool creation and integration utilities for agent systemsa5c-aiwriteslangchain-toolsLangChain tool creation and integration utilities for agent systemsmajiayu000writeslangchain-toolsLangChain framework utilities for chains, agents, and RAGmajiayu000writeslangchainBuild production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain frameworkmajiayu000langchain4j-ai-services-patternsProvides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent…majiayu000writeslangchain4j-ai-services-patternsBuild declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration…majiayu000writeslangchain4j-rag-implementation-patternsProvides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion…majiayu000writeslangchain4j-rag-implementation-patternsImplement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores…majiayu000writeslangchain4j-spring-boot-integrationIntegration patterns for LangChain4j with Spring Boot. Auto-configuration, dependency injection, and Spring ecosystem…majiayu000writeslangchain4j-tool-function-calling-patternsProvides tool and function calling patterns with LangChain4j. Handles defining tools, function calls, and LLM agent integration.…majiayu000writeslangchain4j-tool-function-calling-patternsTool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents. Use when…majiayu000writeslangfuseExpert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and…majiayu000langfuseExpert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and…majiayu000langfuse-incident-runbookTroubleshoot and respond to Langfuse-related incidents and outages. Use when experiencing Langfuse outages, debugging production…jeremylongshorewriteslangfuseExpert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and…majiayu000langfuse-observabilityLLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse…majiayu000langfuse-rate-limitsImplement Langfuse rate limiting, batching, and backoff patterns. Use when handling rate limit errors, optimizing trace…jeremylongshorewriteslangfuse-rate-limitsImplement Langfuse rate limiting, batching, and backoff patterns. Use when handling rate limit errors, optimizing trace…majiayu000writeslangfuse-sdk-patternsLangfuse SDK best practices, patterns, and idiomatic usage. Use when learning Langfuse SDK patterns, implementing proper tracing…jeremylongshorewriteslangfuse-sdk-patternsLangfuse SDK best practices, patterns, and idiomatic usage. Use when learning Langfuse SDK patterns, implementing proper tracing…majiayu000writeslanggraph-architectureGuides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state…majiayu000langgraph-human-in-the-loopINVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers…majiayu000
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How the catalog works
What is an agent skill?

A folder with a SKILL.md inside — instructions, and often scripts and assets, that an AI agent loads when the task matches. Claude Code, Codex, Cursor and Copilot all read the same format, so one skill usually works across them.

Where does this catalog come from?

We read 660 source repositories straight from their file trees rather than from submitted listings — what you see is what is actually published. 98 repositories were rejected because they advertise skills but contain none: link lists, not folders.

Why is there no install counter?

Because install counts live in the registry that serves `npx skills add`, and that is not ours — publishing a number we cannot verify would be worse than showing none. Instead we show where a skill comes from and whether attention around its source is actually growing, measured from our own weekly snapshots.

Do you deduplicate?

Yes, and it matters more than expected. Aggregator repositories republish the same skill in several places — one source carried 6,317 SKILL.md files for 2,001 actual skills. We collapse by folder name and keep the canonical copy, so the catalog counts things, not copies.

Keep going
Collections, ranked →
Which skill collections are moving this week, from our own snapshots.
Open Source Radar →
The repositories behind these skills, watched daily.
The makers →
Who publishes the skills you install.
Startup rankings →
The companies building in the same ecosystem.