workflowadvancedClaude Code

Production-Ready Claude Code Workflows for Automated Code Review and CI/CD

This guide provides developers with links to complete, real-world project templates for setting up automated AI assistants. These examples demonstrate how to make an AI automatically review code, run quality checks, and manage development tasks using pre-built configurations and CI/CD integrations.

AI SETUP PROMPT

Paste into Claude Code — it will scan your project and set everything up

# Set Up Workflow: Production-Ready Claude Code Workflows for Automated Code Review and CI/CD

## What This Is
This guide provides developers with links to complete, real-world project templates for setting up automated AI assistants. These examples demonstrate how to make an AI automatically review code, run quality checks, and manage development tasks using pre-built configurations and CI/CD integrations.

Source: https://www.youtube.com/watch?v=3ezaz6ABSSQ

## 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://www.youtube.com/watch?v=3ezaz6ABSSQ) 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 `ChrisWiles/claude-code-showcase` repository (https://github.com/ChrisWiles/claude-code-showcase) to a temporary directory as a reference implementation.
- Analyze the user's current project structure and adapt the `.claude/` directory from the showcase repository, mapping its agents, commands, hooks, and skills into the user's project, prompting for confirmation before copying files.
- Scan the user's project for an existing `.github/workflows` directory. Integrate the `pr-claude-code-review.yml` workflow from the showcase project to enable automated AI-powered pull request reviews.

## 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

3,028 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Clone the `ChrisWiles/claude-code-showcase` repository (https://github.com/ChrisWiles/claude-code-showcase) to a temporary directory as a reference implementation.
02Analyze the user's current project structure and adapt the `.claude/` directory from the showcase repository, mapping its agents, commands, hooks, and skills into the user's project, prompting for confirmation before copying files.
03Scan the user's project for an existing `.github/workflows` directory. Integrate the `pr-claude-code-review.yml` workflow from the showcase project to enable automated AI-powered pull request reviews.

FIELD OPERATIONS

Automated Documentation Guardian

Create a `pre-commit` hook that scans for new or modified functions in the codebase. If JSDoc/TSDoc comments are missing or outdated relative to the code changes, a specialized 'docs-agent' is triggered to write or update them before the commit is finalized.

CI/CD Security Auditor Agent

Integrate a security-focused agent into the GitHub Actions pipeline. This agent uses a custom skill to run a security scanner (like `snyk` or `trivy`) on new pull requests, analyzes the output, and posts a-summary of high-severity vulnerabilities as a PR comment, automatically requesting changes if critical issues are found.

STRATEGIC APPLICATIONS