Automate, optimize, and manage complex GitHub Actions workflows using AI swarm coordination.
Install
mkdir -p .claude/skills/github-workflow-automation && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/145" && unzip -o skill.zip -d .claude/skills/github-workflow-automation && rm skill.zipInstalls to .claude/skills/github-workflow-automation
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository managementKey capabilities
- →Generates CI/CD workflow pipelines
- →Optimizes parallel execution
- →Analyzes workflow failure logs
- →Coordinates multi-repo releases
- →Manages PR review workflows
How it works
Uses swarm-based agent logic to generate and monitor GitHub Actions workflows by interacting with the GitHub API.
Inputs & outputs
When to use github-workflow-automation
- →Generate optimal CI/CD pipelines for new repositories
- →Optimize existing workflow runtimes via parallelization
- →Analyze and fix failed GitHub Actions runs
- →Coordinate multi-repo release cycles
About this skill
GitHub Workflow Automation Skill
Overview
This skill provides comprehensive GitHub Actions automation with AI swarm coordination. It integrates intelligent CI/CD pipelines, workflow orchestration, and repository management to create self-organizing, adaptive GitHub workflows.
Quick Start
<details> <summary>💡 Basic Usage - Click to expand</summary>Initialize GitHub Workflow Automation
# Start with a simple workflow
npx ruv-swarm actions generate-workflow \
--analyze-codebase \
--detect-languages \
--create-optimal-pipeline
Common Commands
# Optimize existing workflow
npx ruv-swarm actions optimize \
--workflow ".github/workflows/ci.yml" \
--suggest-parallelization
# Analyze failed runs
gh run view <run-id> --json jobs,conclusion | \
npx ruv-swarm actions analyze-failure \
--suggest-fixes
</details>
Core Capabilities
🤖 Swarm-Powered GitHub Modes
<details> <summary>Available GitHub Integration Modes</summary>1. gh-coordinator
GitHub workflow orchestration and coordination
- Coordination Mode: Hierarchical
- Max Parallel Operations: 10
- Batch Optimized: Yes
- Best For: Complex GitHub workflows, multi-repo coordination
# Usage example
npx claude-flow@alpha github gh-coordinator \
"Coordinate multi-repo release across 5 repositories"
2. pr-manager
Pull request management and review coordination
- Review Mode: Automated
- Multi-reviewer: Yes
- Conflict Resolution: Intelligent
# Create PR with automated review
gh pr create --title "Feature: New capability" \
--body "Automated PR with swarm review" | \
npx ruv-swarm actions pr-validate \
--spawn-agents "linter,tester,security,docs"
3. issue-tracker
Issue management and project coordination
- Issue Workflow: Automated
- Label Management: Smart
- Progress Tracking: Real-time
# Create coordinated issue workflow
npx claude-flow@alpha github issue-tracker \
"Manage sprint issues with automated tracking"
4. release-manager
Release coordination and deployment
- Release Pipeline: Automated
- Versioning: Semantic
- Deployment: Multi-stage
# Automated release management
npx claude-flow@alpha github release-manager \
"Create v2.0.0 release with changelog and deployment"
5. repo-architect
Repository structure and organization
- Structure Optimization: Yes
- Multi-repo Support: Yes
- Template Management: Advanced
# Optimize repository structure
npx claude-flow@alpha github repo-architect \
"Restructure monorepo with optimal organization"
6. code-reviewer
Automated code review and quality assurance
- Review Quality: Deep
- Security Analysis: Yes
- Performance Check: Automated
# Automated code review
gh pr view 123 --json files | \
npx ruv-swarm actions pr-validate \
--deep-review \
--security-scan
7. ci-orchestrator
CI/CD pipeline coordination
- Pipeline Management: Advanced
- Test Coordination: Parallel
- Deployment: Automated
# Orchestrate CI/CD pipeline
npx claude-flow@alpha github ci-orchestrator \
"Setup parallel test execution with smart caching"
8. security-guardian
Security and compliance management
- Security Scan: Automated
- Compliance Check: Continuous
- Vulnerability Management: Proactive
# Security audit
npx ruv-swarm actions security \
--deep-scan \
--compliance-check \
--create-issues
</details>
🔧 Workflow Templates
<details> <summary>Production-Ready GitHub Actions Templates</summary>1. Intelligent CI with Swarms
# .github/workflows/swarm-ci.yml
name: Intelligent CI with Swarms
on: [push, pull_request]
jobs:
swarm-analysis:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Initialize Swarm
uses: ruvnet/swarm-action@v1
with:
topology: mesh
max-agents: 6
- name: Analyze Changes
run: |
npx ruv-swarm actions analyze \
--commit ${{ github.sha }} \
--suggest-tests \
--optimize-pipeline
2. Multi-Language Detection
# .github/workflows/polyglot-swarm.yml
name: Polyglot Project Handler
on: push
jobs:
detect-and-build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Detect Languages
id: detect
run: |
npx ruv-swarm actions detect-stack \
--output json > stack.json
- name: Dynamic Build Matrix
run: |
npx ruv-swarm actions create-matrix \
--from stack.json \
--parallel-builds
3. Adaptive Security Scanning
# .github/workflows/security-swarm.yml
name: Intelligent Security Scan
on:
schedule:
- cron: '0 0 * * *'
workflow_dispatch:
jobs:
security-swarm:
runs-on: ubuntu-latest
steps:
- name: Security Analysis Swarm
run: |
SECURITY_ISSUES=$(npx ruv-swarm actions security \
--deep-scan \
--format json)
echo "$SECURITY_ISSUES" | jq -r '.issues[]? | @base64' | while read -r issue; do
_jq() {
echo ${issue} | base64 --decode | jq -r ${1}
}
gh issue create \
--title "$(_jq '.title')" \
--body "$(_jq '.body')" \
--label "security,critical"
done
4. Self-Healing Pipeline
# .github/workflows/self-healing.yml
name: Self-Healing Pipeline
on: workflow_run
jobs:
heal-pipeline:
if: ${{ github.event.workflow_run.conclusion == 'failure' }}
runs-on: ubuntu-latest
steps:
- name: Diagnose and Fix
run: |
npx ruv-swarm actions self-heal \
--run-id ${{ github.event.workflow_run.id }} \
--auto-fix-common \
--create-pr-complex
5. Progressive Deployment
# .github/workflows/smart-deployment.yml
name: Smart Deployment
on:
push:
branches: [main]
jobs:
progressive-deploy:
runs-on: ubuntu-latest
steps:
- name: Analyze Risk
id: risk
run: |
npx ruv-swarm actions deploy-risk \
--changes ${{ github.sha }} \
--history 30d
- name: Choose Strategy
run: |
npx ruv-swarm actions deploy-strategy \
--risk ${{ steps.risk.outputs.level }} \
--auto-execute
6. Performance Regression Detection
# .github/workflows/performance-guard.yml
name: Performance Guard
on: pull_request
jobs:
perf-swarm:
runs-on: ubuntu-latest
steps:
- name: Performance Analysis
run: |
npx ruv-swarm actions perf-test \
--baseline main \
--threshold 10% \
--auto-profile-regression
7. PR Validation Swarm
# .github/workflows/pr-validation.yml
name: PR Validation Swarm
on: pull_request
jobs:
validate:
runs-on: ubuntu-latest
steps:
- name: Multi-Agent Validation
run: |
PR_DATA=$(gh pr view ${{ github.event.pull_request.number }} --json files,labels)
RESULTS=$(npx ruv-swarm actions pr-validate \
--spawn-agents "linter,tester,security,docs" \
--parallel \
--pr-data "$PR_DATA")
gh pr comment ${{ github.event.pull_request.number }} \
--body "$RESULTS"
8. Intelligent Release
# .github/workflows/intelligent-release.yml
name: Intelligent Release
on:
push:
tags: ['v*']
jobs:
release:
runs-on: ubuntu-latest
steps:
- name: Release Swarm
run: |
npx ruv-swarm actions release \
--analyze-changes \
--generate-notes \
--create-artifacts \
--publish-smart
</details>
📊 Monitoring & Analytics
<details> <summary>Workflow Analysis & Optimization</summary>Workflow Analytics
# Analyze workflow performance
npx ruv-swarm actions analytics \
--workflow "ci.yml" \
--period 30d \
--identify-bottlenecks \
--suggest-improvements
Cost Optimization
# Optimize GitHub Actions costs
npx ruv-swarm actions cost-optimize \
--analyze-usage \
--suggest-caching \
--recommend-self-hosted
Failure Pattern Analysis
# Identify failure patterns
npx ruv-swarm actions failure-patterns \
--period 90d \
--classify-failures \
--suggest-preventions
Resource Management
# Optimize resource usage
npx ruv-swarm actions resources \
--analyze-usage \
--suggest-runners \
--cost-optimize
</details>
Advanced Features
🧪 Dynamic Test Strategies
<details> <summary>Intelligent Test Selection & Execution</summary>Smart Test Selection
# Automatically select relevant tests
- name: Swarm Test Selection
run: |
npx ruv-swarm actions smart-test \
--changed-files ${{ steps.files.outputs.all }} \
--impact-analysis \
--parallel-safe
Dynamic Test Matrix
# Generate test matrix from code analysis
jobs:
generate-matrix:
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
steps:
- id: set-matrix
run: |
MATRIX=$(npx ruv-swarm actions test-matrix \
--detect-frameworks \
--optimize-coverage)
echo "matrix=${MATRIX}" >> $GITHUB_OUTPUT
test:
needs: generate-matrix
strategy:
matrix: ${{fromJson(needs.generate-matrix.outputs.matrix)}}
Intelligent Parallelization
# Determine optimal parallelization
npx ruv-swarm actions parallel-strategy \
--analyze-dependencies \
--time-estimates \
--cost-aware
</details>
🔮 Predictive Analysis
<details> <summary>AI-Powered Workflow Predictions</summary>Predictive Failures
#
---
*Content truncated.*
When not to use it
- →Simple, single-file projects
- →Manual deployment workflows
Prerequisites
Limitations
- →Requires high-level permissions on repositories
- →Agent swarm logic complexity can be difficult to debug
How it compares
It utilizes coordinated agents to manage lifecycle across multiple repositories simultaneously rather than static pipeline generation.
Compared to similar skills
github-workflow-automation side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| github-workflow-automation (this skill) | 11 | 2mo | Review | Advanced |
| github-actions-templates | 7 | 3mo | No flags | Intermediate |
| hooks-automation | 3 | 4mo | Review | Intermediate |
| cli-commands | 2 | 2mo | No flags | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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