Github Actions Templates

GitHub Actions Templates

Production-ready GitHub Actions workflow patterns for testing, building, and deploying applications.

Do not use this skill when

• The task is unrelated to github actions templates
• You need a different domain or tool outside this scope

Instructions

• Clarify goals, constraints, and required inputs.
• Apply relevant best practices and validate outcomes.
• Provide actionable steps and verification.
• If detailed examples are required, open resources/implementation-playbook.md.

Purpose

Create efficient, secure GitHub Actions workflows for continuous integration and deployment across various tech stacks.

Use this skill when

• Automate testing and deployment
• Build Docker images and push to registries
• Deploy to Kubernetes clusters
• Run security scans
• Implement matrix builds for multiple environments

Common Workflow Patterns

Pattern 1: Test Workflow

name: Test

on:
  push:
    branches: [ main, develop ]
  pull_request:
    branches: [ main ]

jobs:
  test:
    runs-on: ubuntu-latest

    strategy:
      matrix:
        node-version: [18.x, 20.x]

    steps:
    - uses: actions/checkout@v4

    - name: Use Node.js ${{ matrix.node-version }}
      uses: actions/setup-node@v4
      with:
        node-version: ${{ matrix.node-version }}
        cache: 'npm'

    - name: Install dependencies
      run: npm ci

    - name: Run linter
      run: npm run lint

    - name: Run tests
      run: npm test

    - name: Upload coverage
      uses: codecov/codecov-action@v3
      with:
        files: ./coverage/lcov.info

Reference: See assets/test-workflow.yml

Pattern 2: Build and Push Docker Image

name: Build and Push

on:
  push:
    branches: [ main ]
    tags: [ 'v*' ]

env:
  REGISTRY: ghcr.io
  IMAGE_NAME: ${{ github.repository }}

jobs:
  build:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write

    steps:
    - uses: actions/checkout@v4

    - name: Log in to Container Registry
      uses: docker/login-action@v3
      with:
        registry: ${{ env.REGISTRY }}
        username: ${{ github.actor }}
        password: ${{ secrets.GITHUB_TOKEN }}

    - name: Extract metadata
      id: meta
      uses: docker/metadata-action@v5
      with:
        images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
        tags: |
          type=ref,event=branch
          type=ref,event=pr
          type=semver,pattern={{version}}
          type=semver,pattern={{major}}.{{minor}}

    - name: Build and push
      uses: docker/build-push-action@v5
      with:
        context: .
        push: true
        tags: ${{ steps.meta.outputs.tags }}
        labels: ${{ steps.meta.outputs.labels }}
        cache-from: type=gha
        cache-to: type=gha,mode=max

Reference: See assets/deploy-workflow.yml

Pattern 3: Deploy to Kubernetes

name: Deploy to Kubernetes

on:
  push:
    branches: [ main ]

jobs:
  deploy:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v4

    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v4
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: us-west-2

    - name: Update kubeconfig
      run: |
        aws eks update-kubeconfig --name production-cluster --region us-west-2

    - name: Deploy to Kubernetes
      run: |
        kubectl apply -f k8s/
        kubectl rollout status deployment/my-app -n production
        kubectl get services -n production

    - name: Verify deployment
      run: |
        kubectl get pods -n production
        kubectl describe deployment my-app -n production

Pattern 4: Matrix Build

name: Matrix Build

on: [push, pull_request]

jobs:
  build:
    runs-on: ${{ matrix.os }}

    strategy:
      matrix:
        os: [ubuntu-latest, macos-latest, windows-latest]
        python-version: ['3.9', '3.10', '3.11', '3.12']

    steps:
    - uses: actions/checkout@v4

    - name: Set up Python
      uses: actions/setup-python@v5
      with:
        python-version: ${{ matrix.python-version }}

    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt

    - name: Run tests
      run: pytest

Reference: See assets/matrix-build.yml

Workflow Best Practices

1. Use specific action versions (@v4, not @latest)
2. Cache dependencies to speed up builds
3. Use secrets for sensitive data
4. Implement status checks on PRs
5. Use matrix builds for multi-version testing
6. Set appropriate permissions
7. Use reusable workflows for common patterns
8. Implement approval gates for production
9. Add notification steps for failures
10. Use self-hosted runners for sensitive workloads

Reusable Workflows

# .github/workflows/reusable-test.yml
name: Reusable Test Workflow

on:
  workflow_call:
    inputs:
      node-version:
        required: true
        type: string
    secrets:
      NPM_TOKEN:
        required: true

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v4
    - uses: actions/setup-node@v4
      with:
        node-version: ${{ inputs.node-version }}
    - run: npm ci
    - run: npm test

Use reusable workflow:

jobs:
  call-test:
    uses: ./.github/workflows/reusable-test.yml
    with:
      node-version: '20.x'
    secrets:
      NPM_TOKEN: ${{ secrets.NPM_TOKEN }}

Security Scanning

name: Security Scan

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  security:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v4

    - name: Run Snyk vulnerability scanner
      uses: aquasecurity/snyk-action@master
      with:
        scan-type: 'fs'
        scan-ref: '.'
        format: 'sarif'
        output: 'snyk-results.sarif'

    - name: Upload Snyk results to GitHub Security
      uses: github/codeql-action/upload-sarif@v2
      with:
        sarif_file: 'snyk-results.sarif'

    - name: Run Snyk Security Scan
      uses: snyk/actions/node@master
      env:
        SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}

Deployment with Approvals

name: Deploy to Production

on:
  push:
    tags: [ 'v*' ]

jobs:
  deploy:
    runs-on: ubuntu-latest
    environment:
      name: production
      url: https://app.example.com

    steps:
    - uses: actions/checkout@v4

    - name: Deploy application
      run: |
        echo "Deploying to production..."
        # Deployment commands here

    - name: Notify Slack
      if: success()
      uses: slackapi/slack-github-action@v1
      with:
        webhook-url: ${{ secrets.SLACK_WEBHOOK }}
        payload: |
          {
            "text": "Deployment to production completed successfully!"
          }

Reference Files

• assets/test-workflow.yml - Testing workflow template
• assets/deploy-workflow.yml - Deployment workflow template
• assets/matrix-build.yml - Matrix build template
• references/common-workflows.md - Common workflow patterns

Related Skills

• gitlab-ci-patterns - For GitLab CI workflows
• deployment-pipeline-design - For pipeline architecture
• secrets-management - For secrets handling

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Github Actions Templates"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags github-actions-templates workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.