feat: add A/B test framework generator recipe

[Shreyanshsingh23]

🧪 A/B Test Framework Generator Recipe

Overview

This PR adds a comprehensive A/B Test Framework Generator recipe that creates complete A/B testing infrastructure for web applications. The recipe demonstrates advanced orchestration, parameter passing, conditional logic, and multi-extension integration.

🎯 Advanced Recipe Requirements Met

• ✅ Uses 4+ extensions: developer, memory, filesystem MCP, github MCP
• ✅ Uses 3 sub-recipes: experiment-tracker, ab-test-statistical-analyzer, ab-test-dashboard-generator
• ✅ Demonstrates orchestration: Multi-stage workflow with dependencies
• ✅ Parameter passing: Values passed between main recipe and sub-recipes
• ✅ Conditional logic: Framework-specific implementations (React/Vue/Angular/vanilla)
• ✅ Parallel execution: Sub-recipes can run independently

🚀 Key Features

Main Recipe: ab-test-framework-generator.yaml

• Framework Detection: Automatically detects React, Vue, Angular, or vanilla JS projects
• Complete Infrastructure: Generates variant setup, tracking code, statistical analysis, and dashboards
• Multi-Framework Support: Adapts implementations based on detected framework
• Production Ready: Includes error handling, fallbacks, and comprehensive documentation

Sub-Recipes:

1. experiment-tracker.yaml

• Generates experiment configuration files (JSON/YAML)
• Creates user bucketing and randomization algorithms
• Implements tracking event handlers for metrics collection
• Sets up persistent storage for user assignments
• Framework-specific utilities (React hooks, Vue composables, Angular services)

2. ab-test-statistical-analyzer.yaml

• Performs chi-square tests for categorical metrics
• Calculates t-tests for continuous metrics
• Computes confidence intervals and statistical significance
• Determines sample size requirements for statistical power
• Generates automated analysis scripts

3. ab-test-dashboard-generator.yaml

• Creates interactive HTML dashboard with responsive design
• Real-time metrics visualization and comparison charts
• Statistical significance indicators and confidence intervals
• Conversion funnel analysis and user journey tracking
• Export functionality for reports and data

📊 Recipe Parameters

Parameter	Type	Required	Default	Description
project_path	string	✅	-	Path to web application project
test_name	string	✅	-	Name of the A/B test
variants	string	✅	-	Comma-separated variant names
metrics	string	✅	-	Comma-separated metrics to track
framework	string	❌	"auto"	Web framework (react/vue/angular/vanilla)
sample_size	string	❌	"1000"	Minimum sample size per variant
confidence_level	string	❌	"95"	Statistical confidence level
include_dashboard	string	❌	"true"	Generate reporting dashboard
auto_commit	string	❌	"false"	Auto-commit and create PR

🔧 Extensions Used

1. Developer (builtin) - File operations, code generation, framework detection
2. Memory (builtin) - Storing experiment configurations and tracking patterns
3. Filesystem (MCP) - Enhanced filesystem operations for A/B test files
4. GitHub (MCP) - Integration for creating PRs with infrastructure changes

📁 Files Added

documentation/src/pages/recipes/data/recipes/
├── ab-test-framework-generator.yaml (main recipe - 303 lines)
└── subrecipes/
├── experiment-tracker.yaml (198 lines)
├── ab-test-statistical-analyzer.yaml (221 lines)
└── ab-test-dashboard-generator.yaml (268 lines)

🧪 Testing & Validation

• ✅ All YAML files validated successfully with goose recipe validate
• ✅ Recipe loads correctly and parses all parameters
• ✅ Sub-recipe references work properly
• ✅ Template syntax validated and fixed
• ✅ DCO compliant with proper sign-off

💡 Usage Example

goose run --recipe ab-test-framework-generator.yaml \
  --params project_path=/path/to/project \
  --params test_name=button-color-test \
  --params variants=control,red-button,blue-button \
  --params metrics=conversion,click-rate \
  --params framework=react \
  --params include_dashboard=true

🎨 What It Generates

The recipe creates a complete A/B testing infrastructure including:

• Experiment Configuration: JSON/YAML config files with variant definitions
• Tracking Code: Framework-specific utilities for variant assignment and event tracking
• Statistical Analysis: Python/R scripts for significance testing and power analysis
• Interactive Dashboard: HTML dashboard with real-time metrics visualization
• Documentation: Comprehensive setup guides and API documentation
• Testing Utilities: Mock data, validation functions, and performance benchmarks

🔍 Unique Aspects

This recipe is unique because it:

• Orchestrates multiple specialized sub-recipes for different aspects of A/B testing
• Adapts to different web frameworks with conditional logic
• Provides end-to-end infrastructure from setup to analysis to reporting
• Includes statistical rigor with proper significance testing
• Generates production-ready code with error handling and documentation

📧 Contact Information

Email: shreyanshrewa@gmail.com

---

Resolves #4991

Signed-off-by: Shreyansh Singh Gautam shreyanshrewa@gmail.com

🎨 What It Generates
The recipe creates a complete A/B testing infrastructure including:
Experiment Configuration: JSON/YAML config files with variant definitions
Tracking Code: Framework-specific utilities for variant assignment and event tracking
Statistical Analysis: Python/R scripts for significance testing and power analysis
Interactive Dashboard: HTML dashboard with real-time metrics visualization
Documentation: Comprehensive setup guides and API documentation
Testing Utilities: Mock data, validation functions, and performance benchmarks
🔍 Unique Aspects
This recipe is unique because it:
Orchestrates multiple specialized sub-recipes for different aspects of A/B testing
Adapts to different web frameworks with conditional logic
Provides end-to-end infrastructure from setup to analysis to reporting
Includes statistical rigor with proper significance testing
Generates production-ready code with error handling and documentation
📧 Contact Information
Email: shreyanshrewa@gmail.com
Github: Shreyanshsingh23
Resolves #4991
Signed-off-by: Shreyansh Singh Gautam shreyanshrewa@gmail.com

[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: BLOCKED - One or more recipes have MEDIUM risk or higher

⚠️ Merge Protection: This PR cannot be merged until security concerns are addressed.
Repository maintainers can override this decision if needed.

📊 Scan Summary:

• Total recipes scanned: 4
• Blocked recipes: 2

📋 Individual Recipe Results:
❌ Recipe 1: BLOCKED (HIGH risk)
✅ Recipe 2: APPROVED (LOW risk)
✅ Recipe 3: APPROVED (LOW risk)
✅ Recipe 4: APPROVED (LOW risk)

🔗 View detailed scan results in the workflow artifacts.

[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: 4

📋 Individual Recipe Results:
✅ Recipe 1: APPROVED (LOW risk)
✅ Recipe 2: APPROVED (LOW risk)
✅ Recipe 3: APPROVED (LOW risk)
✅ Recipe 4: APPROVED (LOW risk)

🔗 View detailed scan results in the workflow artifacts.

[blackgirlbytes]

cool one!

[github-actions]

✅ $10 OpenRouter API key sent to shreyanshrewa@gmail.com. Thanks for your contribution to the goose cookbook!