feat: add Code Review Mentor recipe with Developer and Memory extensions (#4992)

[ARYPROGRAMMER]

Summary

Intelligent code review assistant that combines Developer and Memory extensions to provide personalized, actionable feedback on code changes. The recipe learns reviewer preferences over time and adapts its feedback style, making code reviews more effective and educational.

Key Features:

• Learns and remembers coding preferences and team standards
• Multi-layered analysis (security, performance, readability, testing, documentation)
• Configurable review depth (quick/balanced/thorough) and scope (staged/unstaged/commit/branch)
• Educational feedback with examples and explanations
• Tracks improvement patterns across reviews

Testing

Manual testing performed:

• YAML structure validation
• Parameter configuration with various combinations
• Extension integration (Developer + Memory)
• Jinja2 template rendering
• Recipe format specification compliance

Test Commands:

# Basic test
goose run --recipe documentation/src/pages/recipes/data/recipes/code-review-mentor.yaml --params review_scope=staged

# Full parameter test
goose run --recipe documentation/src/pages/recipes/data/recipes/code-review-mentor.yaml \
  --params review_scope=branch \
  --params review_depth=thorough \
  --params focus_areas=security,performance \
  --params language_specific=python

Related Issues

Fixes #4992

Screenshots/Demos (As I got some more tokens from Goose - thx)

Before: Manual code reviews without learning capability

After: Personalized, intelligent reviews that improve over time

Email: [email protected]

[github-actions]

✅ Recipe Validation Passed

Your recipe(s) are valid and ready for review!

🔍 Next Steps:

1. Our team will review your recipe
2. If approved, we'll run a security scan
3. Once merged, you'll receive $10 in OpenRouter credits (if email provided)

Thanks for contributing to the goose Recipe Cookbook! 🎉

[github-actions]

🔍 Recipe Security Scan Results

✅ Status: APPROVED - All recipes passed security scan

📊 Scan Summary:

• Total recipes scanned: 1

📋 Individual Recipe Results:
✅ Recipe 1: APPROVED (LOW risk)

🔗 View detailed scan results in the workflow artifacts.

[blackgirlbytes]

Excellent!

[ARYPROGRAMMER]

Excellent!

thanks. can you also review #5005 , its been some days

[github-actions]

✅ $10 OpenRouter API key sent to [email protected]. Thanks for your contribution to the goose cookbook!

[blackgirlbytes]

okay heading there now @ARYPROGRAMMER -- keep in mind, it's the weekend for my team 😄 , and it looks like you submitted your PR on Friday night.

[ARYPROGRAMMER]

okay heading there now @ARYPROGRAMMER -- keep in mind, it's the weekend for my team 😄 , and it looks like you submitted your PR on Friday night.

i noticed - thanks for being so helpful