github-actions
github-actions is an engineering AI skill with a core value of Build, test, and deploy applications using GitHub Actions workflows. It
helps developers solve real-world problems in the engineering domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Build, test, and deploy applications using GitHub Actions workflows.
Quick Facts
mkdir -p ./skills/github-actions && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/github-actions/SKILL.md -o ./skills/github-actions/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# GitHub Actions
Automate software workflows directly in your GitHub repository with GitHub Actions.
When to Use This Skill
Use this skill when:
- Setting up CI/CD pipelines for GitHub repositories
- Automating build, test, and deployment workflows
- Creating reusable workflow components
- Configuring self-hosted runners
- Managing workflow secrets and variables
- Debugging failed workflow runs
Prerequisites
- GitHub repository with write access
- Understanding of YAML syntax
- For self-hosted runners: server with Docker (optional)
Workflow File Structure
Workflows are defined in `.github/workflows/` directory:
name: CI Pipeline
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'npm'
- run: npm ci
- run: npm testCommon Triggers
Push and Pull Request
on:
push:
branches: [main]
paths:
- 'src/**'
- 'package.json'
pull_request:
branches: [main]Scheduled Runs
on:
schedule:
- cron: '0 2 * * *' # Daily at 2 AM UTCManual Dispatch
on:
workflow_dispatch:
inputs:
environment:
description: 'Deployment environment'
required: true
default: 'staging'
type: choice
options:
- staging
- productionJob Configuration
Matrix Builds
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
node-version: [18, 20, 22]
os: [ubuntu-latest, windows-latest]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node-version }}
- run: npm testJob Dependencies
jobs:
build:
runs-on: ubuntu-latest
steps:
- run: npm run build
test:
needs: build
runs-on: ubuntu-latest
steps:
- run: npm test
deploy:
needs: [build, test]
runs-on: ubuntu-latest
steps:
- run: ./deploy.shEnvironment Protection
jobs:
deploy:
runs-on: ubuntu-latest
environment:
name: production
url: https://example.com
steps:
- run: ./deploy.shSecrets and Variables
Using Secrets
steps:
- name: Deploy
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
run: aws s3 sync ./dist s3://my-bucketUsing Variables
steps:
- name: Build
env:
API_URL: ${{ vars.API_URL }}
run: npm run buildCaching Dependencies
- uses: actions/cache@v4
with:
path: ~/.npm
key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
restore-keys: |
${{ runner.os }}-node-Artifacts
Upload Artifacts
- uses: actions/upload-artifact@v4
with:
name: build-output
path: dist/
retention-days: 5Download Artifacts
- uses: actions/download-artifact@v4
with:
name: build-output
path: dist/Docker Builds
jobs:
docker:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Build and push
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: user/app:latestReusable Workflows
Define Reusable Workflow
# .github/workflows/reusable-deploy.yml
name: Reusable Deploy
on:
workflow_call:
inputs:
environment:
required: true
type: string
secrets:
🎯 Best For
- QA engineers
- Developers writing unit tests
- UI designers
- Product designers
- Claude users
💡 Use Cases
- Generating test cases for edge conditions
- Writing integration test suites
- Generating component mockups
- Creating design system tokens
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply github-actions to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
Does this generate test mocks?
Many testing skills include mock generation. Check the install command and skill content for details.
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
How do I install github-actions?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/github-actions/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not testing edge cases
AI tends to generate happy-path tests. Manually review for boundary conditions.
Skipping usability testing
AI-generated designs should be validated with real users before development.
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.