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AI/ML · Global library

Agent Swarm Optimizer

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

CodexClaude CodeKimi Codeorchestrator-mcp
Open pack on GitHubBack to catalog

Best use case

Use Agent Swarm Optimizer when you need to optimize large-scale agent swarms for emergent problem-solving with dynamic task allocation and collective intelligence patterns, especially when the work is driven by agent swarm and swarm intelligence.

Trigger signals

agent swarmswarm intelligencecollective behavioremergentparticle swarmant colony

Validation hooks

swarm-convergencediversity-maintenance

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show agent-swarm-optimizer

Use

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

Export

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

File patterns

swarm*.py*.py

Model preferences

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

Related skills

Adjacent packs to compose next.

FeaturedAI/MLGlobal library

Multi-Agent Coordinator

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

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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.