AI 原生开放教材

外观

Context Engineering Intro工程手册·英文原文 ↗原件 ↓仓库 ↗

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.

这个模板生成器能为任何技术领域创建完整的上下文工程模板包。它是一个元模板，用于为 Pydantic AI、Supabase、CrewAI 等框架生成专门化的模板。

🚀 Quick Start ​

bash
# 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:

这个元模板会生成完整的上下文工程模板包，包含：

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

技术专门化： 框架专属的全局规则与模式；适合该技术的验证闭环；领域专属的调研方法论；框架专门化的文档引用。

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

网页调研集成： 对技术调研提出大量网页搜索要求；收集并分析官方文档；识别并提取真实世界中的模式；记录最佳实践与各种坑。

Context Engineering Adaptation:

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

上下文工程适配： 为特定技术改造的 PRP 框架；适合该领域的成功标准；技术专属的实现蓝图；框架专门化的验证门禁。

🔍 Research-Driven Approach ​

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

这个元模板强调把大量网页调研作为创建高质量模板的基础：

  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

1）技术深度研读——对官方文档、模式和最佳实践做完整调研；2）模式提取——识别真实世界的实现模式；3）上下文集成——为该技术适配上下文工程原则；4）验证设计——创建适合该技术的测试与验证闭环。

📋 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

请把以下几点写得极其具体：目标技术或框架；要支持的核心功能；要包含的示例；要调研的文档；开发模式；安全考量；常见的坑；验证要求。

2. Generate Template PRP ​

bash
/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

它会：针对你指定的技术做大量网页调研；分析官方文档与最佳实践；创建完整的实现蓝图；设计该技术专属的验证闭环。

3. Execute Template Generation ​

bash
/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

它会：创建完整的模板包目录结构；生成带全局规则的技术专属 CLAUDE.md；为该技术创建专门的 PRP 命令；开发领域专属的基础 PRP 模板；包含可运行的示例与完整的文档。

🎯 Template Quality Standards ​

Generated templates include:

生成的模板包含：

Comprehensive Research Foundation:

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

完整的调研基础： 对目标技术的大量网页调研；官方文档的分析与整合；真实世界模式的识别；最佳实践与各种坑的记录。

Technology Specialization:

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

技术专门化： 框架专属的模式与约定；适合该领域的架构指引；技术专属的验证与测试方式；常见用例的集成模式。

Context Engineering Integration:

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

上下文工程集成： 对 PRP 框架原则的恰当改造；适合该技术的成功标准；领域专属的调研方法论；专门化的验证闭环与质量门禁。

🔧 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

适用场景举例：Pydantic AI Agents——带工具集成的 AI agent 开发；Supabase 应用——带实时功能的全栈应用；CrewAI 多 agent——复杂多 agent 系统开发；FastAPI 服务——高性能 API 开发；React 应用——现代前端开发模式；任何技术——这套系统能适配任何框架或库。

🚫 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

❌ 没有技术专门化的通用模板；❌ 调研肤浅导致模式不完整；❌ 缺少验证闭环与质量门禁；❌ 忽视框架专属的最佳实践；❌ 文档与示例不完整。

🔄 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

用这套系统生成的模板：基于全面且最新的调研；包含真实世界的模式与最佳实践；能立刻提升开发者生产力；可随技术演进而更新；与上下文工程原则保持一致。

🎓 Philosophy ​

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

这个元模板体现的原则是：上下文工程可以应用到任何技术领域，途径是：

  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

1）深度调研——彻底理解这项技术；2）模式提取——识别可复用的实现模式；3）上下文集成——适配上下文工程原则；4）质量验证——确保模板立即可用且有效。

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

最终得到的是一套系统化方法，能为任何技术领域创建高质量、可立即使用的上下文工程模板。