github-multi-repo

Orchestrate multi-repository workflows and synchronize package dependencies via GitHub API.

Updated Jun 5, 2026
One-click install
npx skills add https://github.com/LGugui/cerebro-template --skill github-multi-repo-lgugui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-multi-repo
Source: https://github.com/LGugui/cerebro-template/tree/main/.claude/skills/github-multi-repo
Command: npx skills add https://github.com/LGugui/cerebro-template --skill github-multi-repo-lgugui

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-code-flow, ruv-swarm, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines multi-repository coordination, synchronization, and architecture management with AI-driven swarm orchestration, enhancing organizational efficiency and scalability.

Core Features & Use Cases

  • Multi-Repository Swarm Coordination: Orchestrate distributed development workflows across multiple repositories.
  • Package Synchronization: Resolve dependencies and align versions across repositories for seamless integration.
  • Repository Architecture: Optimize repository structures and implement standardized templates.
  • Use Case: Imagine you have a large codebase with multiple repositories. Use this Skill to ensure that all repositories are synchronized, maintain consistent package versions, and follow standardized architectures.

Quick Start

Initialize multi-repo coordination with npx claude-flow skill run github-multi-repo init --repos "org/repo1,org/repo2" --topology hierarchical.

Frequently Asked Questions about github-multi-repo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synchronize package dependencies across multiple GitHub repositories?

Multi-repository orchestration resolves and aligns package dependencies across repositories using AI-driven swarm coordination. It ensures version consistency and seamless integration throughout your distributed codebase via Claude Code and the GitHub API.

What is AI-orchestrated multi-repository swarm coordination?

AI-orchestrated multi-repository swarm coordination is a technique that manages distributed development workflows across multiple repositories simultaneously. It optimizes repository architecture and standardizes templates using swarm intelligence for enhanced organizational scalability.

Do I need Claude Code and Python packages to manage multi-repository workflows?

Yes, managing multi-repository workflows with this approach requires installing Claude Code, the GitHub CLI, and specific Python packages like claude-code-flow and ruv-swarm to enable the AI-driven orchestration and synchronization processes.

How do I initialize multi-repo coordination for a large codebase?

To initialize multi-repo coordination, run the command `npx claude-flow skill run github-multi-repo init --repos "org/repo1,org/repo2" --topology hierarchical` to set up distributed workflows and orchestrate your repositories hierarchically.

What's the best way to optimize repository architecture and standardize templates?

The best way to optimize repository architecture and standardize templates is through AI-driven orchestration that evaluates and restructures your repositories. This ensures all distributed repositories follow consistent architectural patterns and standardized templates.

Can I use hierarchical topology for organizing distributed development workflows?

Yes, you can use hierarchical topology for organizing distributed development workflows across multiple repositories. It structures the swarm coordination to manage complex codebases by orchestrating dependencies and workflows in a layered hierarchy.