workflowadvancedClaude Code

Set Up a Professional Claude Code Workflow with Automated CI/CD

This provides a complete blueprint for an automated AI software development system using Claude Code. It sets up a project structure where an AI assistant automatically reviews code, performs scheduled maintenance, and integrates with CI/CD pipelines to ensure higher quality and faster delivery.

AI SETUP PROMPT

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

# Set Up Workflow: Set Up a Professional Claude Code Workflow with Automated CI/CD

## What This Is
This provides a complete blueprint for an automated AI software development system using Claude Code. It sets up a project structure where an AI assistant automatically reviews code, performs scheduled maintenance, and integrates with CI/CD pipelines to ensure higher quality and faster delivery.

Source: https://www.youtube.com/watch?v=T5jylUte3J8

## 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=T5jylUte3J8) 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 'Claude Code Project Configuration Showcase' repository from GitHub to serve as a template.
- Scan the user's current project and adapt the showcase's `.claude/` directory, including the `CLAUDE.md` project memory, skills, and agents, to match the user's specific technology stack and coding standards.
- Configure the MCP server integration (`.mcp.json`) and GitHub Actions workflows, using the user's existing API keys from their environment variables, to connect the agent to their codebase for automated pull request reviews and scheduled maintenance tasks.

## 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

2,985 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Clone the 'Claude Code Project Configuration Showcase' repository from GitHub to serve as a template.
02Scan the user's current project and adapt the showcase's `.claude/` directory, including the `CLAUDE.md` project memory, skills, and agents, to match the user's specific technology stack and coding standards.
03Configure the MCP server integration (`.mcp.json`) and GitHub Actions workflows, using the user's existing API keys from their environment variables, to connect the agent to their codebase for automated pull request reviews and scheduled maintenance tasks.

FIELD OPERATIONS

Automated Tech Debt Refactoring Bot

Configure a `refactor_agent` that runs weekly. The agent uses static analysis skills to identify code with high cyclomatic complexity or duplication, then automatically creates pull requests with refactored, cleaner code, citing specific refactoring patterns from its skill library.

Dynamic Security Audit Pipeline

Implement a CI/CD pipeline where a security-focused agent audits new dependencies for known vulnerabilities and scans code changes for common security flaws on every pull request. The agent blocks merges if critical issues are found and provides detailed, actionable remediation steps in the PR comments.

STRATEGIC APPLICATIONS