Claude Code CI/CD Workflow with GitHub Actions

# Set Up Workflow: Claude Code CI/CD Workflow with GitHub Actions

## What This Is
This workflow uses an AI coding assistant (Claude Code) to automatically review, test, and maintain a software project. It sets up automated checks on every code change and runs weekly or monthly maintenance tasks to keep the code clean and dependencies up-to-date, reducing manual work for developers.

Source: https://dev.to/myougatheaxo/cicd-pipeline-design-with-claude-code-github-actions-from-zero-to-deploy-2b14

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)

Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?

## Source Access Note

The source URL (https://dev.to/myougatheaxo/cicd-pipeline-design-with-claude-code-github-actions-from-zero-to-deploy-2b14) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.

## What to Implement

This is an **AI Workflow** — an end-to-end automation pattern or integration pipeline.

- Study the workflow architecture from the source and context below
- Identify which parts I can implement locally vs. parts that need external services
- For local parts: implement them using my existing stack and API keys
- For external parts: tell me exactly what services I need and help me configure the integration code
- Wire up any required API calls using keys from my .env files

## Additional Context

- Clone the showcase repository at https://github.com/ChrisWiles/claude-code-showcase into a new directory named 'claude-cicd-workflow-example'.
- Inspect the user's current project structure, then adapt the configuration files within the cloned repo's '.claude/' directory (e.g., settings.json, agents, and CLAUDE.md rules) to align with the project's tech stack and objectives.
- Copy the GitHub Actions workflow files (e.g., pr-claude-code-review.yml, scheduled-claude-code-quality.yml) from the cloned repo's '.github/workflows/' into the user's active project, then prompt the user to configure necessary repository secrets like ANTHROPIC_API_KEY.

## Reference Implementation

```
# Example: .github/workflows/pr-claude-code-review.yml
name: "Claude Code Review"
on:
  pull_request:
    branches: [ main, develop ]

jobs:
  claude_review:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Set up Claude Code Agent
        # This step would install the agent and its dependencies
        run: |
          echo "Installing Claude Code CLI and configuring agent..."
          # Placeholder for actual setup commands

      - name: Run Claude Code Review Agent on PR Diff
        run: |
          # Activates the code-reviewer agent against the PR's diff
          claude-code --agent code-reviewer.md --diff ${{ github.event.pull_request.diff_url }}
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
```

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it