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Automates continuous open-source contributions using a 9-agent swarm: finds good-first-issues, implements fixes/tests/docs, creates PRs, and handles review feed
This skill deploys a coordinated 9-agent swarm that autonomously discovers contribution opportunities across GitHub, qualifies repos, implements fixes or features, adds tests or docs when needed, opens professional pull requests, and iteratively responds to review feedback. It includes a continuous mode for ongoing contributions and a single-cycle command for one-off runs. The system tracks success signals to prioritize issue types, languages, and repositories that yield high merge rates.
Use this skill when you want to automate scaled open-source contributions: bulk triage of good-first-issues, continuous creation of low-risk PRs (typos, docs, tests), or when you need a repeatable pipeline that learns which repositories and issue types accept automated contributions. Not intended for high-risk security or core-logic changes without human oversight.
Best suited for multi-agent orchestrations and agents with CLI tooling integration (Claude Code / Claude CLI, other multi-agent frameworks). It relies on GitHub CLI for authentication and standard shell tooling (git, jq).
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