github-multi-repo

To synchronize a shared library update across multiple GitHub repositories, this Skill uses AI swarm orchestration to push dependency version changes, run integration tests, and open pull requests for each dependent service in a single coordinated operation.

AI swarm orchestration for multi-repo architecture management coordinates intelligent agents to analyze, optimize, and standardize repository structures and templates across numerous GitHub projects simultaneously, ensuring structural consistency at scale.

Yes, you need ruv-swarm and gh-cli installed to automate cross-repository dependencies. The Skill requires ruv-swarm to power distributed AI workflows and gh-cli to execute automated Git operations across your repositories.

Yes, you can coordinate updates across frontend, backend, and shared GitHub repositories simultaneously by initializing a hierarchical topology that orchestrates AI agents to manage cross-repository dependencies and package versions.

The best way to manage package versions across large-scale GitHub projects is using AI-driven coordination to ensure consistent dependency updates and synchronization across all repositories within your organization's architecture.

AI swarm coordination for cross-repository workflows depends on properly configured hierarchical topologies and requires both ruv-swarm and gh-cli, meaning it is limited to environments where these dependencies are installed and authenticated.