langgraph
LangGraph skill for building stateful agent graphs, subgraphs, checkpoints, conditional flows, parallel execution, streaming, and multi-agent orchestration.
npx skills add majiayu000/claude-skill-registry --skill langgraph-sameeh07-agent-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangGraph - Skill Purpose This skill explains core patterns for building directed graph based AI workflows with LangGraph in Python. Use it for agent orchestration, stateful pipelines, subgraph composition, RAG plus node processing, and checkpointed experiments. When an AI assistant should apply this skill - When editing files that import langgraph or create StateGraph objects - When authoring node functions that use LLMs or tools - When adding checkpoints, persistence, or streaming to agent runs - When composing subgraphs or multi-agent flows Quick start 1. Model the workflow state with a TypedDict. 2. Write small pure node functions that accept and return partial state. 3. Use START as entry. 4. Compile the builder to get a runnable graph. 5. Add a checkpointer for persistence and safe experimentation. Core concepts and cheat sheet - StateGraph - The builder models nodes and edges over a typed state. Compile the builder into a runnable. - Node functions - Node functions receive the current state and return updates. Keep them small and testable. - Edges and routing - add_edge for deterministic flows. add_conditional_edges or routing functions for branching. - Returning multiple
What does the langgraph skill do?
LangGraph skill for building stateful agent graphs, subgraphs, checkpoints, conditional flows, parallel execution, streaming, and multi-agent orchestration.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langgraph-sameeh07-agent-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.