This template generator creates complete context engineering template packages for any technology domain. It's a meta-template that generates specialized templates for frameworks like Pydantic AI, Supabase, CrewAI, etc.

🚀 Quick Start

# 1. Define your template requirements in detail
# Edit PRPs/INITIAL.md with specific technology and requirements

# 2. Generate comprehensive template PRP
/generate-template-prp PRPs/INITIAL.md

# 3. Execute the PRP to create complete template package
/execute-template-prp PRPs/template-{technology-name}.md

📚 What This Creates

This meta-template generates complete context engineering template packages with:

Generated Template Structure

use-cases/{technology-name}/
├── CLAUDE.md                          # Technology-specific global rules
├── .claude/commands/
│   ├── generate-{tech}-prp.md        # Domain PRP generation
│   └── execute-{tech}-prp.md         # Domain PRP execution
├── PRPs/
│   ├── templates/
│   │   └── prp_{tech}_base.md        # Technology-specific base PRP
│   ├── ai_docs/                      # Domain documentation
│   └── INITIAL.md                    # Example feature request
├── examples/                         # Technology-specific examples
└── README.md                         # Usage guide

Template Features

Technology Specialization:

Framework-specific global rules and patterns
Technology-appropriate validation loops
Domain-specific research methodologies
Framework-specialized documentation references

Web Research Integration:

Extensive web search requirements for technology research
Official documentation gathering and analysis
Real-world pattern identification and extraction
Best practices and gotcha documentation

Context Engineering Adaptation:

PRP framework adapted for specific technologies
Domain-appropriate success criteria
Technology-specific implementation blueprints
Framework-specialized validation gates

🔍 Research-Driven Approach

This meta-template emphasizes extensive web research as the foundation for creating high-quality templates:

Technology Deep Dive - Comprehensive research of official docs, patterns, and best practices
Pattern Extraction - Identification of real-world implementation patterns
Context Integration - Adaptation of context engineering principles for the technology
Validation Design - Creation of technology-appropriate testing and validation loops

📋 Usage Process

1. Define Requirements (PRPs/INITIAL.md)

Be extremely specific about:

Target technology/framework
Core features to support
Examples to include
Documentation to research
Development patterns
Security considerations
Common gotchas
Validation requirements

2. Generate Template PRP

/generate-template-prp PRPs/INITIAL.md

This will:

Conduct extensive web research on your specified technology
Analyze official documentation and best practices
Create comprehensive implementation blueprint
Design technology-specific validation loops

3. Execute Template Generation

/execute-template-prp PRPs/template-{technology-name}.md

This will:

Create complete template package directory structure
Generate technology-specific CLAUDE.md with global rules
Create specialized PRP commands for the technology
Develop domain-specific base PRP template
Include working examples and comprehensive documentation

🎯 Template Quality Standards

Generated templates include:

Comprehensive Research Foundation:

Extensive web research on target technology
Official documentation analysis and integration
Real-world pattern identification
Best practices and gotcha documentation

Technology Specialization:

Framework-specific patterns and conventions
Domain-appropriate architectural guidance
Technology-specific validation and testing approaches
Integration patterns for common use cases

Context Engineering Integration:

Proper adaptation of PRP framework principles
Technology-appropriate success criteria
Domain-specific research methodologies
Specialized validation loops and quality gates

🔧 Key Features

Web Research Emphasis

Web search is your best friend throughout the process
Comprehensive technology documentation analysis
Real-world implementation pattern identification
Community best practices research and integration

Template Package Completeness

Complete directory structure with all required files
Technology-specific global rules and patterns
Specialized PRP generation and execution commands
Domain-appropriate base PRP templates
Working examples and comprehensive documentation

Quality Validation

Multiple validation levels for template structure and content
Technology-specific testing and validation approaches
Integration testing with base context engineering framework
Usability validation for immediate developer productivity

📚 Examples of Templates You Can Generate

Pydantic AI Agents - AI agent development with tool integration
Supabase Applications - Full-stack apps with real-time features
CrewAI Multi-Agents - Complex multi-agent system development
FastAPI Services - High-performance API development
React Applications - Modern frontend development patterns
Any Technology - The system adapts to any framework or library

🚫 Anti-Patterns Avoided

❌ Generic templates without technology specialization
❌ Shallow research leading to incomplete patterns
❌ Missing validation loops and quality gates
❌ Ignoring framework-specific best practices
❌ Incomplete documentation and examples

🔄 Continuous Improvement

Templates generated with this system:

Are based on comprehensive, current research
Include real-world patterns and best practices
Provide immediate developer productivity
Can be updated as technologies evolve
Maintain consistency with context engineering principles

🎓 Philosophy

This meta-template embodies the principle that context engineering can be applied to any technology domain through:

Deep Research - Understanding the technology thoroughly
Pattern Extraction - Identifying reusable implementation patterns
Context Integration - Adapting context engineering principles
Quality Validation - Ensuring templates work immediately and effectively

The result is a systematic approach to creating high-quality, immediately usable context engineering templates for any technology domain.