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github-actions-templates

Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications

Install / Use

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

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

95/100

Category

Automation

Supported Platforms

Universal

Our assessment of github-actions-templates

github-actions-templates scores 95/100 on our quality scale, 128th of 1,267 Automation skills we index (top 11%).

Its SKILL.md is 7.0 KB long, well organised into 14 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.

With 39,920 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 5 days ago, so github-actions-templates is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

github-actions-templates compared with similar skills

All 4 of these similar skills score higher than github-actions-templates; compare them before choosing.

SkillScoreStarsUpdatedFormat
github-actions-templates (this skill)by wshobson9539.9k5d agoSKILL.md
Agent-Reachby Panniantong10085.4k10d agoCLAUDE.md
rufloby ruvnet10073.3k1d agoCLAUDE.md
Scraplingby D4Vinci10083.7ktodayMCP Server
algorithmic-artby anthropics100177.9k3d agoSKILL.md

Frequently asked questions

How do I install github-actions-templates?
Run npx skills add wshobson/agents --skill github-actions-templates. The install tabs above show the steps for each supported agent.
Which AI agents does github-actions-templates work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is github-actions-templates safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is github-actions-templates still maintained?
The repository was last updated 5 days ago, so github-actions-templates is actively maintained.

name: github-actions-templates description: 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

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 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

Related Skills

View on GitHub
GitHub Stars39.9k
CategoryAutomation
Updated5d ago
Forks4.3k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions