🎯

github-actions-templates

🎯Skill

Ready-made GitHub Actions setups that test, build and release your app on their own whenever you push code to GitHub. Covers Docker images, Kubernetes deploys, security checks and testing across many versions.

wshobson/agents13,380 Installs27,673Added Jan 31, 2026

Installation

$npx skills add wshobson/agents --skill github-actions-templates

Run it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).

Uses skills.sh Β· Node.js 22.20+

After installing

Ask for related work and the agent uses it on its own, or call it yourself.

Run it (Claude Code)/github-actions-templates
Install by hand

Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.

Open the skill folder β†’
  • This project .claude/skills/github-actions-templates/
  • All projects ~/.claude/skills/github-actions-templates/

These paths are for Claude Code. For other tools, the command above puts it in the right place.

What this skill does

Overview

This skill helps you write GitHub Actions workflows. A workflow is a small file that tells GitHub to run tasks for you automatically, such as tests, each time code changes. The skill gives ready-to-use examples and good habits for testing, building and releasing apps.

Key Features

  • Set up automatic tests that run on every push or pull request.
  • Build a Docker image (a packaged copy of your app) and upload it to a registry.
  • Release your app to a Kubernetes cluster, a group of servers that runs apps.
  • Test on several operating systems and language versions at once.
  • Add security scans and a manual approval step before going live.

Who is this for?

It suits developers who host code on GitHub and want testing and releases to happen on their own. It also helps teams that want shared, reusable workflow files. You do not need deep experience with automation to start from these examples.

Summarized by AI from this skill's SKILL.md. Suggest a better one

Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.

GitHub Actions Templates

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

Purpose

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

When to Use

  • 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@v4
        with:
          files: ./coverage/lcov.info

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

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

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 Trivy vulnerability scanner
        uses: aquasecurity/trivy-action@0.28.0
        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@v3
        with:
          sarif_file: "trivy-results.sarif"

      - name: Run Snyk Security Scan
        uses: snyk/actions/node@0.4.0
        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!"
            }

Related Skills

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

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