[plan] Create comprehensive Ralph Loop documentation and examples

[github-actions]

Objective

Create comprehensive documentation and a real-world example demonstrating the complete Ralph Loop pattern with gh-aw agentic workflows.

Context

After implementing the core Ralph Loop workflows, we need clear documentation and a practical example that shows the full workflow in action.

Approach

1. Create examples/ralph/README.md with:

   • Overview of Ralph Loop pattern
   • How to use Ralph with gh-aw
   • Complete workflow from PRD to completion
   • Comparison with bash-based Ralph
   • Best practices and tips

2. Add a complete end-to-end example:

   • Sample feature PRD
   • Generated prd.json
   • Multiple iteration examples
   • Progress.txt showing learnings
   • AGENTS.md updates

3. Create tutorial in docs/tutorials/ralph-loop.md:

   • Step-by-step guide
   • Screenshots or terminal output examples
   • Common pitfalls and solutions
   • Advanced usage patterns

4. Add reference to main README.md

Files to Create/Modify

• examples/ralph/README.md - Comprehensive example README
• examples/ralph/tutorial-example/ - Complete example directory
• docs/tutorials/ralph-loop.md - Tutorial guide
• README.md - Add Ralph Loop to examples section

Acceptance Criteria

• README explains Ralph Loop clearly for new users
• Complete example demonstrates full workflow
• Tutorial provides step-by-step guidance
• Documentation covers common issues and solutions
• Main README links to Ralph Loop examples
  Related to Add Ralph Loop examples for agentic workflows #11132

AI generated by Plan Command for #11132

[github-actions]

🍪 Issue Monster has assigned this to Copilot!

I've identified this issue as a good candidate for automated resolution and assigned it to the Copilot agent.

This is the first sub-issue of parent #11132 (Ralph Loop implementation) to be processed. Once this PR is completed, the next sibling sub-issue will be handled.

The Copilot agent will analyze the issue and create a pull request with the fix.

Om nom nom! 🍪

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