Browse 138,453 skills across 70 categories. Mirrored from majiayu000/claude-skill-registry.
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph co...
LangGraph state-machine design and debugging for `StateGraph`, node/edge routing, checkpoints, `interrupt`, and HITL flo...
Expert guidance for building stateful, multi-actor AI agents with LangGraph - graphs, nodes, edges, state management, an...
LangGraph skill for building stateful agent graphs, subgraphs, checkpoints, conditional flows, parallel execution, strea...
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, b...
Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing. Use when: bu...
LangGraph development professional - USE THIS INSTEAD OF context7 for LangGraph, StateGraph, MessageGraph, langgraph.gra...
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing...
Use when creating a new LangGraph graph. Start with a minimal graph and iterate.
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions...
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, e...
CRITICAL: LangGraph workflows are NestJS applications under apps/langgraph/. They receive the same parameters as n8n wor...
Use when answering LangGraph questions. Prefer reading local project code/specs; fetch docs only if needed.
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-dat...
LangGraph Functional API with @entrypoint and @task decorators. Use when building workflows with the modern LangGraph pa...
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke...
Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, man...
使用 StateGraph、节点、边、START/END 节点和 Command API 构建图，结合控制流与状态更新
Prevent and detect code quality issues in LangGraph pipelines. Use when implementing new nodes, debugging state flow iss...
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
LangGraph human-in-the-loop patterns. Use when implementing approval workflows, manual review gates, user feedback integ...
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. C...
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas,...
人机交互与动态中断和断点：暂停执行以供人工审查和使用 Command 恢复
Use when specifying or implementing LangGraph applications - from architecture planning and specification writing to act...
LangGraph 中的内存：短期（线程范围）vs 长期（跨线程）内存，使用检查点器和存储
Multi-agent architectures with LangGraph. Use when building systems with multiple collaborating agents, implementing sup...
Architect-level development, audit, and migration of multi-agent systems using LangGraph (v1+) and LangChain (v1+). Use...
理解 LangGraph：用于构建有状态、长期运行 Agent 的低级编排框架，具有持久执行、流式传输和人机交互能力
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running...
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-lo...
Use for LangGraph agent design and refactors. Prefer explicit state, small nodes, and clear transitions.
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configu...
在 LangGraph 中实现持久化和检查点：保存状态、恢复执行、线程 ID 和检查点器库
Persistence and human-in-the-loop patterns for LangGraph. Use when implementing checkpointing, saving/restoring graph st...
Design and build AI agents with LangGraph. Use when building ReAct agents, multi-agent systems, workflow orchestration,...
Expert guidance for LangGraph Python library. Build stateful, multi-actor applications with LLMs using nodes, edges, and...
LangGraph conditional routing patterns. Use when implementing dynamic routing based on state, creating branching workflo...
在 LangGraph 中管理状态：模式、reducer、通道和消息传递，用于协调 Agent 执行
LangGraph state management patterns. Use when designing workflow state schemas, using TypedDict vs Pydantic, implementin...
从 LangGraph 流式传输实时更新：流式模式（values、updates、messages、custom、debug）用于响应式 UX
Subgraph composition and modular workflow design for LangGraph
LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, imp...
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Validates LangGraph implementations for correctness, consistency, and integration readiness. Use this skill when impleme...
理解工作流 vs Agent、预定义 vs 动态模式，以及使用 Send API 的编排器-工作器模式
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, condition...
LangGraph workflow patterns for agent orchestration
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating mode...
LangSmith Agent Builder - No-code platform for creating AI agents with built-in tools (Gmail, Slack, GitHub, Linear), OA...
INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Cov...
INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluator...
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavi...
langsmith-fetch
CRITICAL for RAG: Every RAG query MUST be traced in LangSmith for observability. Silent failures (bad retrieval, halluci...
INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and quer...