Agent skill · AI & Agents

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill langgraph-supervisor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Version: 1.0.0
Declared author: SkillForge
Path: skills/ai-llm/langgraph-supervisor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. When to Use
  2. Basic Supervisor
  3. Round-Robin Supervisor
  4. Priority-Based Routing
  5. LLM-Based Supervisor (2026 Best Practice)
  6. Tracking Progress
  7. Key Decisions
  8. Common Mistakes
  9. Related Skills
  10. Capability Details
  11. supervisor-design
  12. worker-delegation
  13. skillforge-workflow
  14. supervisor-template
Ships with 1 file
  • metadata.json
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About this skill
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.

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