An AI swarm can work together on your GitHub pull requests. This tool helps you create and manage swarms directly from PR comments or commands. You can assign different agents to review code, write tests, or check changes.
Teams save time by using automated multi-agent code review. The swarm analyzes the PR size and complexity. It then picks the best team of agents to handle the work. Progress updates are posted back to the PR automatically.
Developers set up label rules to map PR labels like bug or feature to specific agent types. The swarm runs in GitHub Actions or from the command line. This makes code review faster and more consistent.
Global
mkdir -p ~/.claude/skills/agent-swarm-prProject
mkdir -p .claude/skills/agent-swarm-prSource Repository
Caveman Commitjuliusbrussee/caveman
Generate ultra-compressed commit messages with Conventional Commits format
Verification Before Completionobra/superpowers
Always run fresh verification before claiming work is complete or passing
Git Guardrails Claude Codemattpocock/skills
Stop dangerous git commands from running automatically with safety hooks
Setup Pre Commitmattpocock/skills
Automate code formatting type checking and tests before every commit
Using Git Worktreesobra/superpowers
Isolate your feature work with git worktrees and keep your main branch safe
Finishing A Development Branchobra/superpowers
Finish your development branch with merge, pull request, or cleanup options
Resolving Merge Conflictsmattpocock/skills
Resolve Git merge conflicts step by step preserving both intents
Git Commitgithub/awesome-copilot
Automatically write standardized git commits by analyzing your code changes