github-workflow-automation

Automates GitHub Actions workflows, CI/CD pipelines, and repository management with swarm coordination.

Updated Jul 16, 2026
One-click install
npx skills add https://github.com/optimaxin/Tredev_Gems --skill github-workflow-automation-optimaxin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-workflow-automation
Source: https://github.com/optimaxin/Tredev_Gems/tree/main/.claude/skills/github-workflow-automation
Command: npx skills add https://github.com/optimaxin/Tredev_Gems --skill github-workflow-automation-optimaxin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Managing GitHub Actions workflows, CI/CD pipelines, pull requests, and releases manually is repetitive and error-prone. This Skill automates workflow generation, optimization, failure analysis, and repository coordination using ruv-swarm and claude-flow commands. ## Core Features & Use Cases - Workflow Generation & Optimization: Generate CI/CD pipelines from codebase analysis, detect languages, suggest parallelization, and reduce redundant steps. - GitHub Coordination Modes: Use specialized modes like pr-manager, issue-tracker, release-manager, code-reviewer, and security-guardian for automated PR reviews, issue tracking, and releases. - Monitoring & Self-Healing: Analyze workflow performance, detect failure patterns, predict risks, and auto-fix common pipeline failures. - Use Case: A team wants CI for a polyglot monorepo. The Skill detects changed packages, builds a dynamic test matrix, runs parallel validation agents (linter, tester, security), and posts results as a PR comment. ## Quick Start Ask the AI to generate an optimized GitHub Actions CI workflow for your repository by analyzing the codebase and detecting its languages.

Frequently Asked Questions about github-workflow-automation

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

FAQPage Schema
How do I generate a GitHub Actions workflow automatically?

Run npx ruv-swarm actions generate-workflow with the --analyze-codebase and --detect-languages flags to inspect your repository and produce an optimized CI pipeline. The output can be written directly to .github/workflows/ci.yml.

How can I analyze a failed GitHub Actions run?

Use gh run view with the run ID to fetch job data, then pipe it to npx ruv-swarm actions analyze-failure with --suggest-fixes. It classifies the failure and can auto-retry flaky tests or propose fixes.

What tools are required to use GitHub workflow automation with ruv-swarm?

You need the GitHub CLI (gh) authenticated, Git configured, Node.js v16 or later, and the claude-flow@alpha npm package. The repository must have GitHub Actions enabled and a .github/workflows directory.

Can ruv-swarm optimize GitHub Actions costs and performance?

Yes, the actions cost-optimize and analytics commands analyze usage over a period, identify bottlenecks, suggest caching strategies, and recommend self-hosted runners. It also estimates time and cost savings from parallelization.

Does this approach support monorepos and multiple repositories?

Yes, it detects changed packages in monorepos to build dynamic test matrices and supports multi-repo coordination through modes like gh-coordinator and sync-coordinator for synchronized releases across repositories.

What are the limitations of self-healing pipelines?

Self-healing only auto-fixes common failure patterns; complex issues trigger creation of a pull request instead of direct fixes. It depends on workflow_run events and requires proper permissions and secrets configured in the repository.