LangGraph Patterns Expert
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
npx skills add majiayu000/claude-skill-registry --skill langgraph-patterns-frankxai-agentic-creator-os --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 Patterns Expert Skill ## Purpose Master LangGraph for building production-ready AI agents with fine-grained control, checkpointing, streaming, and complex state management. ## Core Philosophy **LangGraph is:** An orchestration framework with both declarative and imperative APIs focused on control and durability for production agents. **Not:** High-level abstractions that hide complexity - instead provides building blocks for full control. **Migration:** LangGraph replaces legacy AgentExecutor - migrate all old code. ## The Six Production Features 1. **Parallelization** - Run multiple nodes concurrently 2. **Streaming** - Real-time partial outputs 3. **Checkpointing** - Pause/resume execution 4. **Human-in-the-Loop** - Approval/correction workflows 5. **Tracing** - Observability and debugging 6. **Task Queue** - Asynchronous job processing ## Graph-Based Architecture ```python from langgraph.graph import StateGraph, END # Define state class AgentState(TypedDict): messages: Annotated[list, add_messages] next_action: str # Create graph graph = StateGraph(AgentState) # Add nodes graph.add_node("analyze", analyze_node) graph.add_node("execute", execute_node) graph.add_node("
- Purpose
- Core Philosophy
- The Six Production Features
- Graph-Based Architecture
- Core Patterns
- Pattern 1: Agent with Tools
- Pattern 2: Multi-Agent Collaboration
- Pattern 3: Human-in-the-Loop
- State Management
- Short-Term Memory (Session)
- Long-Term Memory (Persistent)
- Advanced Control Flow
- Conditional Routing
- Cycles and Loops
What does the LangGraph Patterns Expert skill do?
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langgraph-patterns-frankxai-agentic-creator-os --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.