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name: multi-agent description: Build multi-agent systems - orchestration, coordination, workflows, and distributed architectures sasmp_version: "1.3.0" bonded_agent: 05-multi-agent bond_type: PRIMARY_BOND version: "2.0.0"

Multi-Agent Systems

Build coordinated multi-agent systems for complex tasks.

When to Use This Skill

Invoke this skill when:

• Tasks require multiple specialized agents
• Building orchestrator-worker patterns
• Implementing agent workflows
• Coordinating parallel execution

Parameter Schema

Quick Start

Copyfrom langgraph.graph import StateGraph, MessagesState
from langgraph.prebuilt import create_react_agent

# Create specialized agents
researcher = create_react_agent(llm, [web_search])
coder = create_react_agent(llm, [execute_code])

# Build graph
graph = StateGraph(MessagesState)
graph.add_node("researcher", researcher)
graph.add_node("coder", coder)
graph.add_conditional_edges("coordinator", router)

Architecture Patterns

Orchestrator-Worker

CopyOrchestrator (Opus)
    ├── Researcher (Sonnet)
    ├── Analyst (Sonnet)
    └── Writer (Haiku)

Hierarchical

CopyManager (Opus)
    ├── Research Lead (Sonnet)
    │   ├── Web Researcher (Haiku)
    │   └── Doc Analyst (Haiku)
    └── Engineering Lead (Sonnet)
        ├── Frontend Dev (Haiku)
        └── Backend Dev (Haiku)

Model Allocation

Troubleshooting

Best Practices

• One job per agent (single responsibility)
• Orchestrator handles planning only
• Use checkpointing for long workflows
• Implement circuit breakers per agent

Related Skills

• ai-agent-basics - Single agents
• agent-memory - Shared state
• tool-calling - Per-agent tools

References

• LangGraph Multi-Agent
• Anthropic Multi-Agent