Does this skill require specific local tools?

Yes, this skill requires the GitHub CLI (gh), git, Node.js (v16+), and the claude-flow framework to function correctly.

Can I use this for multi-repository project management?

Absolutely. The 'gh-coordinator' mode is specifically built to manage and synchronize releases and workflows across multiple repositories simultaneously.

How does the self-healing pipeline feature work?

The self-healing mechanism analyzes failed workflow runs to diagnose root causes and can automatically generate pull requests with fixes for common configuration or dependency issues.

What is AI swarm coordination in GitHub workflows?

Swarm coordination spawns multiple specialized AI agents—such as linters, testers, and security guardians—to work in parallel, providing a more comprehensive review and validation process than traditional linear pipelines.

GitHub Workflow Automation & AI Swarm

Name: GitHub Workflow Automation & AI Swarm
Author: Microck

byMicrock

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Deployment & DevOps

Automates complex GitHub Actions workflows and CI/CD pipelines using AI swarm coordination for intelligent repository management.

About

This skill transforms standard GitHub repository management into an intelligent, self-organizing ecosystem. By leveraging AI swarm coordination, it automates advanced CI/CD pipelines, handles multi-repo releases, conducts deep security audits, and implements self-healing mechanisms for failed builds. It is designed for engineering teams looking to reduce DevOps overhead while maintaining high security and performance standards through predictive failure analysis, automated code reviews, and cost optimization.

Key Features

Predictive failure analysis and intelligent test selection strategies
Comprehensive repository architecture optimization and cost management
Automated PR management with deep security and performance analysis
Swarm-powered multi-agent CI/CD orchestration and coordination
Self-healing pipelines that automatically diagnose and fix build failures
81 GitHub stars

Use Cases

Optimizing GitHub Actions performance and infrastructure costs using predictive analytics
Orchestrating complex software releases across multiple synchronized repositories
Automating deep security scans and compliance audits on every pull request

About

Key Features

Predictive failure analysis and intelligent test selection strategies
Comprehensive repository architecture optimization and cost management
Automated PR management with deep security and performance analysis
Swarm-powered multi-agent CI/CD orchestration and coordination
Self-healing pipelines that automatically diagnose and fix build failures
81 GitHub stars

Use Cases

Optimizing GitHub Actions performance and infrastructure costs using predictive analytics
Orchestrating complex software releases across multiple synchronized repositories
Automating deep security scans and compliance audits on every pull request