Multi-Agent Systems Skill

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

| Parameter | Type | Required | Description | Default | |-----------|------|----------|-------------|---------| | task | string | Yes | Multi-agent goal | - | | architecture | enum | No | orchestrator-worker, hierarchical, peer-to-peer | orchestrator-worker | | framework | enum | No | langgraph, autogen, crewai | langgraph |

Quick Start

from 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

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

Hierarchical

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

Model Allocation

| Agent Type | Model | Rationale | |------------|-------|-----------| | Orchestrator | Opus | Complex planning | | Specialist | Sonnet | Reasoning | | Worker | Haiku | Simple tasks |

Troubleshooting

| Issue | Solution | |-------|----------| | Agents not coordinating | Check message bus | | Deadlock | Add timeout, detect cycles | | Inconsistent results | Synchronize state | | High costs | Use cheaper models for workers |

Agent Skills: Multi-Agent Systems

Skill Files