What problem does it solve?
Managing complex GitHub issues manually requires breaking them into subtasks, assigning work, and tracking progress across contributors. This Skill automates that by transforming issues into coordinated multi-agent swarm tasks with automatic decomposition and status updates.
Core Features & Use Cases
- Issue-to-Swarm Conversion: Initialize a swarm from any GitHub issue using gh CLI data, with automatic topology selection and agent assignment based on issue content.
- Task Decomposition & Subtasks: Break issues into prioritized subtasks, update the issue body with checklists, and create linked child issues for high-priority work.
- Progress Tracking & Automation: Post progress summaries as issue comments, update labels based on completion, triage unlabeled issues, detect duplicates, and auto-close stale issues.
- Use Case: A maintainer labels an issue "swarm-ready"; the swarm analyzes it, spawns coder/tester/analyst agents, decomposes the work into a checklist, and posts progress updates until the issue is ready for review.
Quick Start
Ask the agent to initialize a swarm from GitHub issue number 456 with automatic task decomposition and agent assignment.