mcpField
S
swarm-coordinator

swarm-coordinator

github.com/learnpromptAgent workflows24053 installsUpdated 16w ago
Repository

About swarm-coordinator

swarm-coordinator is an agent skill for coordinating large tasks across a planner and several bounded workers. It provides a task-board script and a prompt template for planning, routing, and synthesizing parallel work.

Key features

  1. 01Task-board skeleton generation
  2. 02Coordinator prompt template
  3. 03Bounded worker task ownership

Use cases

  1. 01Exploring a broad codebase
  2. 02Investigating bugs across files
  3. 03Parallel review or research

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/learnprompt/cc-harness-skills --skill swarm-coordinator

After installing, type/swarm-coordinatorin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

README.md
references/
prompt-template.md
source-notes.md
scripts/
task_board.py

Details

From the project README

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

Comments

Markdown supported