agents-swarm-orchestration

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Coordinates parallel subagents and multi-agent workflows. Use when splitting work into dependency-aware workers, verifier passes, or isolated research streams.

AI & Automation 80 stars 17 forks Updated 1 weeks ago MIT

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Skill Content

# Swarm Orchestration Advanced execution layer for multi-worker runs after agent or team selection. Coordinate multiple workers without polluting the main thread. Use this skill after `agents-subagents` has already selected the right agent, member, team, or debate pattern. This skill is for choosing the orchestration surface, freezing task ownership before fan-out, and requiring structured outputs that the lead agent can validate and merge safely. ## Quick Reference | Situation | Default pattern | Why | |-----------|-----------------|-----| | 1-2 tasks or shared-file edits | Stay in the main conversation | Parallelism adds coordination overhead without payoff | | Focused worker that only needs to report back | Claude Code subagent or Codex worker | Isolated context, simple coordination | | Workers must talk to each other | Claude Code agent team | Shared task list plus direct messaging | | Read-heavy scans, tests, triage, summarization | Parallel workers | Keeps noisy intermediate output off the lead thread | | One coordinator should retain user ownership | Manager / agents-as-tools | Lead keeps control of decisions and final answer | | Specialist should take over the conversation | Handoff | Ownership moves to the specialist agent | | Work of unknown extent — discovery *is* the task | Loop until K empty rounds | A fixed task list cannot be enumerated up front | | Many items, known stages, high intermediate volume | Scripted workflow (Claude Code) | Script holds control f...

Details

Author
vasilyu1983
Repository
vasilyu1983/AI-Agents-public
Created
9 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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