Swarm Coordinator

Coordinate multiple agents by splitting work into research, synthesis, implementation, and verification, assigning ownership, and keeping the coordinator focused on integration rather than raw exploration.

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Swarm Coordinator

Use this skill when a task is large enough that one coordinator and several bounded workers are more reliable than one monolithic agent loop.

Use It For

  • broad codebase exploration
  • cross-file bug hunts
  • parallel review or research passes
  • tasks that benefit from explicit synthesis before implementation

Avoid It For

  • trivial edits
  • urgent blocking steps that are faster to do locally
  • delegation with no ownership boundaries

Quick Start

Generate a task-board skeleton:

python3 {baseDir}/scripts/task_board.py --goal "Investigate flaky CI failure" --worker research --worker implementation --worker verification

Then use the coordinator prompt in references/prompt-template.md.

Core Rule

The coordinator should own planning, routing, and synthesis. Workers should own bounded execution.

Supporting Files

shengdabai/Tony-Claude-Code-Skills/tree/main/skills/swarm-coordinator commit 925f572dac

Frequently asked questions

npx skillmds@latest add shengdabai/swarm-coordinator-2