context-engineering-intro/use-cases/template-generator/README.md

Template Generator - Meta-Framework for Context Engineering

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:

1. Technology Deep Dive - Comprehensive research of official docs, patterns, and best practices
2. Pattern Extraction - Identification of real-world implementation patterns
3. Context Integration - Adaptation of context engineering principles for the technology
4. 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:

1. Deep Research - Understanding the technology thoroughly
2. Pattern Extraction - Identifying reusable implementation patterns
3. Context Integration - Adapting context engineering principles
4. 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.