Agent Skills

github-actions-workflow

Build comprehensive GitHub Actions workflows for CI/CD, testing, security, and deployment. Master workflows, jobs, steps, and conditional execution.

Install

npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill github-actions-workflow
SKILL.md

GitHub Actions Workflow

Table of Contents

Overview

Create powerful GitHub Actions workflows to automate testing, building, security scanning, and deployment processes directly from your GitHub repository.

When to Use

  • Continuous integration and testing
  • Build automation
  • Security scanning and analysis
  • Dependency updates
  • Automated deployments
  • Release management
  • Code quality checks

Quick Start

Minimal working example:

# .github/workflows/ci.yml
name: CI/CD Pipeline

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

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

jobs:
  test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        node-version: [16.x, 18.x, 20.x]
    steps:
      - uses: actions/checkout@v3

      - name: Setup Node ${{ matrix.node-version }}
        uses: actions/setup-node@v3
        with:
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
Complete CI/CD Workflow Complete CI/CD Workflow
Automated Release Workflow Automated Release Workflow
Docker Build and Push Docker Build and Push

Best Practices

✅ DO

  • Use caching for dependencies (npm, pip, Maven)
  • Run tests in parallel with matrix strategy
  • Require status checks on protected branches
  • Use environment secrets and variables
  • Implement conditional jobs with if:
  • Lint and format before testing
  • Set explicit permissions with permissions
  • Use runner labels for specific hardware
  • Cache Docker layers for faster builds

❌ DON'T

  • Store secrets in workflow files
  • Run untrusted code in workflows
  • Use secrets.* with pull requests from forks
  • Hardcode credentials or tokens
  • Miss error handling with continue-on-error
  • Create overly complex workflows
  • Skip testing on pull requests

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