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Multi-Agent Orchestration Patterns Library
Produces a full system design: agent roles and interfaces, inter-agent contracts, routing logic, error escalation paths, and a production hardening checklist.
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See it in action
You say
I need to build a system that takes a 10-page PDF, extracts technical specs, writes a 500-word summary, and then checks the summary against the original for accuracy using different agents.
Your agent does
I recommend a Sequential Pipeline with a Verification Gate:
- Extractor Agent (Haiku): Structured JSON extraction.
- Writer Agent (Sonnet): Markdown summary.
- Reviewer Agent (Opus): Fact-check against PDF. Would you like the YAML config for this orchestration?
What you get
About this skill
Designing a multi-agent system without a pattern library is like wiring a circuit board freehand. This skill knows every orchestration topology — sequential chains, parallel fan-out, hierarchical delegation, map-reduce pipelines, critic-actor loops — and selects the right one for your exact workflow. Produces a full system design: agent roles and interfaces, inter-agent contracts, routing logic, error escalation paths, and a production hardening checklist. Specify what you're building and your stack. Skip the architectural mistakes that kill multi-agent projects before they reach production.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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