# Set Up Workflow: Advanced Claude Code Workflow Automation Showcase
## What This Is
This is a complete project template showcasing how to automate complex software development tasks using Claude Code. It provides pre-built workflows for automatically updating documentation, improving code quality, and managing project tickets, serving as a best-practice guide for advanced AI-driven development.
Source: https://psantanna.com/claude-code-my-workflow/workflow-guide.html
## 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://psantanna.com/claude-code-my-workflow/workflow-guide.html) 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 project showcase repository to a local directory to use as a reference template for configuring advanced workflows.
- Analyze the user's current project structure and identify which of the showcase's workflows (e.g., monthly docs sync, weekly code quality, ticket triage) are most applicable. Map the example configurations from the `.claude/` and `.github/workflows/` directories to the user's project.
- Implement the 'skill evaluation system' by adapting the provided configuration. This involves creating a central skill that analyzes user prompts and dynamically activates other skills based on keywords, file paths, and intent patterns found in the prompt.
## 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