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AI/ML · Global library

Multi-Agent Coordinator

Design and orchestrate complex multi-agent systems where specialized agents collaborate to solve problems beyond single-agent capabilities

CodexClaude CodeKimi Codeorchestrator-mcp
Open pack on GitHubBack to catalog

Best use case

Use Multi-Agent Coordinator when you need to design and orchestrate complex multi-agent systems where specialized agents collaborate to solve problems beyond single-agent capabilities, especially when the work is driven by multi-agent and agent coordination.

Trigger signals

multi-agentagent coordinationagent swarmagent collaborationorchestratoragent team

Validation hooks

agent-count-checkfailure-recovery

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show multi-agent-coordinator

Use

orchestrator-mcp skills export multi-agent-coordinator --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/multi-agent-coordinator ./your-agent-skills/multi-agent-coordinator
# or open skills/multi-agent-coordinator/SKILL.md in a markdown-first client

File patterns

*.py*.tsagent_*.pyorchestration/*.py

Model preferences

claude-sonnet-4gpt-4oclaude-haiku-3

Related skills

Adjacent packs to compose next.

AI/MLGlobal library

Agent Swarm Optimizer

Open pack

Optimize large-scale agent swarms for emergent problem-solving with dynamic task allocation and collective intelligence patterns

CodexClaude Code
AI/MLGlobal library

Agent Lifecycle Manager

Open pack

Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization

CodexClaude Code
Apache-2.0 licensedUse it, fork it, redistribute it. No strings attached.Safety-first by designSecret redaction, release scanning, and no shell execution. Constraints are public.GitHub nativeEvery pack is a real folder. Fork, edit, PR. No hidden backend or proprietary pipeline.