name: github-actions-templates description: "GitHub Actions Templates workflow skill. Use this skill when the user needs Production-ready GitHub Actions workflow patterns for testing, building, and deploying applications and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off." version: "0.0.1" category: devops tags: ["github-actions-templates", "production-ready", "github", "actions", "patterns", "for", "testing", "building"] complexity: advanced risk: caution tools: ["codex-cli", "claude-code", "cursor", "gemini-cli", "opencode"] source: community author: "sickn33" date_added: "2026-04-15" date_updated: "2026-04-25"

GitHub Actions Templates

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/github-actions-templates from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

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

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Purpose, Security Scanning, Deployment with Approvals, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• The task is unrelated to github actions templates
• You need a different domain or tool outside this scope
• Automate testing and deployment
• Build Docker images and push to registries
• Deploy to Kubernetes clusters
• Run security scans

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Clarify goals, constraints, and required inputs.
2. Apply relevant best practices and validate outcomes.
3. Provide actionable steps and verification.
4. If detailed examples are required, open resources/implementation-playbook.md.
5. uses: actions/checkout@v4
6. name: Use Node.js ${{ matrix.node-version }}
7. name: Install dependencies

Imported Workflow Notes

Imported: 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.

Imported: 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

Imported: 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

Imported: 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 }}

Imported: Purpose

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

Examples

Example 1: Ask for the upstream workflow directly

Use @github-actions-templates to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @github-actions-templates against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @github-actions-templates for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @github-actions-templates using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/github-actions-templates, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: 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

Imported: 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 Trivy vulnerability scanner
      uses: aquasecurity/trivy-action@master
      with:
        scan-type: 'fs'
        scan-ref: '.'
        format: 'sarif'
        output: 'trivy-results.sarif'

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

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

Imported: 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!"
          }

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.