langgraph-supervisor
LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, implementing round-robin or priority-based agent dispatch.
npx skills add majiayu000/claude-skill-registry --skill langgraph-supervisor --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 Supervisor Pattern Coordinate multiple specialized agents with a central supervisor. ## When to Use - Multiple specialist agents - Central coordination needed - Dynamic agent routing - Progress tracking across agents ## Basic Supervisor ```python from langgraph.graph import StateGraph, END def supervisor(state: WorkflowState) -> WorkflowState: """Route to next worker based on state.""" if state["needs_analysis"]: state["next"] = "analyzer" elif state["needs_validation"]: state["next"] = "validator" else: state["next"] = END return state def analyzer(state: WorkflowState) -> WorkflowState: """Specialized analysis worker.""" result = analyze(state["input"]) state["results"].append(result) return state # Build graph workflow = StateGraph(WorkflowState) workflow.add_node("supervisor", supervisor) workflow.add_node("analyzer", analyzer) workflow.add_node("validator", validator) # Supervisor routes dynamically workflow.add_conditional_edges( "supervisor", lambda s: s["next"], { "analyzer": "analyzer", "validator": "validator", END: END } ) # Workers return to supervisor workflow.add_edge("analyzer", "supervisor") workflow.add_edge("validator", "supervisor") workflow.set_entry
- When to Use
- Basic Supervisor
- Round-Robin Supervisor
- Priority-Based Routing
- LLM-Based Supervisor (2026 Best Practice)
- Tracking Progress
- Key Decisions
- Common Mistakes
- Related Skills
- Capability Details
- supervisor-design
- worker-delegation
- skillforge-workflow
- supervisor-template
What does the langgraph-supervisor skill do?
LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, implementing round-robin or priority-based agent dispatch.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langgraph-supervisor --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.
