technology-stack-blueprint-generator
github/awesome-copilot
Auto-generates a detailed technology stack blueprint from your codebase to guide consistent, implementation-ready development.
What is technology-stack-blueprint-generator?
This skill instructs an AI coding agent to analyze a codebase and produce a configurable technology stack blueprint, covering detected languages, frameworks, dependencies, versions, licenses, coding conventions, and usage patterns. It's used when a team needs architectural documentation or implementation-ready templates to keep code generation consistent across .NET, Java, JavaScript, React, or Python projects.
- Scans project files, configuration files, and dependency manifests to auto-detect technology stacks and languages
- Documents core technologies per platform (.NET, Java, JavaScript, React, Python) including frameworks, dependencies, and versions
- Extracts coding conventions such as naming patterns, code organization, error handling, and logging approaches
- Pulls representative usage examples for API endpoints, data access, service layers, and UI components
- Builds a technology stack map showing framework usage, integration points, and infrastructure/tooling details
- Outputs the blueprint in a chosen format (Markdown, JSON, YAML, HTML) with optional diagrams
How to install technology-stack-blueprint-generator
npx skills add https://github.com/github/awesome-copilot --skill technology-stack-blueprint-generator- An existing codebase with accessible project/config files (e.g., package.json, .csproj, pom.xml) for the agent to analyze
- An AI coding agent (e.g., Claude Code, Cursor, GitHub Copilot) capable of running SKILL.md-based prompts
How to use technology-stack-blueprint-generator
- 1.Open the target codebase in your AI coding agent with this skill enabled
- 2.Set configuration variables: PROJECT_TYPE (or leave as Auto-detect), DEPTH_LEVEL, and toggles like INCLUDE_VERSIONS, INCLUDE_LICENSES, INCLUDE_DIAGRAMS, INCLUDE_USAGE_PATTERNS, INCLUDE_CONVENTIONS
- 3.Choose OUTPUT_FORMAT (Markdown, JSON, YAML, or HTML) and CATEGORIZATION method (Technology Type, Layer, or Purpose)
- 4.Invoke the skill/prompt to have the agent scan project files, configs, and dependencies
- 5.Review the generated blueprint covering technology identification, core stack analysis, conventions, usage examples, and architecture map
- 6.Use the resulting blueprint as a reference for guided, consistent code generation across the project
Use cases
- Onboarding new developers by giving them a documented overview of the project's technology stack and conventions
- Generating implementation-ready templates and examples (controllers, repositories, services, components) consistent with existing codebase patterns
- Producing architecture documentation with version and licensing details for compliance or audit purposes
- Creating a shared reference blueprint to guide AI-assisted code generation so it matches existing coding conventions
- Documenting integration points and technology maps across multi-platform projects (frontend, backend, data access)
- Software architects creating or maintaining architectural documentation
- Tech leads onboarding new team members to an existing codebase
- Developers using AI coding agents who want consistent, convention-aligned code generation
- Teams maintaining multi-platform projects spanning .NET, Java, JavaScript, React, and Python
technology-stack-blueprint-generator FAQ
It can analyze .NET, Java, JavaScript, React.js, React Native, Angular, and Python codebases, or auto-detect the stack(s) in use across the repository.
Yes, via the DEPTH_LEVEL variable (Basic, Standard, Comprehensive, Implementation-Ready) and toggles for versions, licenses, diagrams, usage patterns, and conventions.
Markdown, JSON, YAML, or HTML, selected via the OUTPUT_FORMAT configuration variable.
It generates documentation and implementation-ready templates/examples (e.g., controller, repository, service, component patterns) extracted or modeled from the codebase, not production code itself.
No, it analyzes the codebase (project files, configs, dependencies, source code) to produce a blueprint document; it does not change existing code.
Full instructions (SKILL.md)
Source of truth, from github/awesome-copilot.
name: technology-stack-blueprint-generator description: 'Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks, programming languages, and implementation patterns across multiple platforms (.NET, Java, JavaScript, React, Python). Generates configurable blueprints with version information, licensing details, usage patterns, coding conventions, and visual diagrams. Provides implementation-ready templates and maintains architectural consistency for guided development.'
Comprehensive Technology Stack Blueprint Generator
Configuration Variables
${PROJECT_TYPE="Auto-detect|.NET|Java|JavaScript|React.js|React Native|Angular|Python|Other"} <!-- Primary technology --> ${DEPTH_LEVEL="Basic|Standard|Comprehensive|Implementation-Ready"} <!-- Analysis depth --> ${INCLUDE_VERSIONS=true|false} <!-- Include version information --> ${INCLUDE_LICENSES=true|false} <!-- Include license information --> ${INCLUDE_DIAGRAMS=true|false} <!-- Generate architecture diagrams --> ${INCLUDE_USAGE_PATTERNS=true|false} <!-- Include code usage patterns --> ${INCLUDE_CONVENTIONS=true|false} <!-- Document coding conventions --> ${OUTPUT_FORMAT="Markdown|JSON|YAML|HTML"} <!-- Select output format --> ${CATEGORIZATION="Technology Type|Layer|Purpose"} <!-- Organization method -->
Generated Prompt
"Analyze the codebase and generate a ${DEPTH_LEVEL} technology stack blueprint that thoroughly documents technologies and implementation patterns to facilitate consistent code generation. Use the following approach:
1. Technology Identification Phase
- ${PROJECT_TYPE == "Auto-detect" ? "Scan the codebase for project files, configuration files, and dependencies to determine all technology stacks in use" : "Focus on ${PROJECT_TYPE} technologies"}
- Identify all programming languages by examining file extensions and content
- Analyze configuration files (package.json, .csproj, pom.xml, etc.) to extract dependencies
- Examine build scripts and pipeline definitions for tooling information
- ${INCLUDE_VERSIONS ? "Extract precise version information from package files and configuration" : "Skip version details"}
- ${INCLUDE_LICENSES ? "Document license information for all dependencies" : ""}
2. Core Technologies Analysis
${PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect" ? "#### .NET Stack Analysis (if detected)
- Target frameworks and language versions (detect from project files)
- All NuGet package references with versions and purpose comments
- Project structure and organization patterns
- Configuration approach (appsettings.json, IOptions, etc.)
- Authentication mechanisms (Identity, JWT, etc.)
- API design patterns (REST, GraphQL, minimal APIs, etc.)
- Data access approaches (EF Core, Dapper, etc.)
- Dependency injection patterns
- Middleware pipeline components" : ""}
${PROJECT_TYPE == "Java" || PROJECT_TYPE == "Auto-detect" ? "#### Java Stack Analysis (if detected)
- JDK version and core frameworks
- All Maven/Gradle dependencies with versions and purpose
- Package structure organization
- Spring Boot usage and configurations
- Annotation patterns
- Dependency injection approach
- Data access technologies (JPA, JDBC, etc.)
- API design (Spring MVC, JAX-RS, etc.)" : ""}
${PROJECT_TYPE == "JavaScript" || PROJECT_TYPE == "Auto-detect" ? "#### JavaScript Stack Analysis (if detected)
- ECMAScript version and transpiler settings
- All npm dependencies categorized by purpose
- Module system (ESM, CommonJS)
- Build tooling (webpack, Vite, etc.) with configuration
- TypeScript usage and configuration
- Testing frameworks and patterns" : ""}
${PROJECT_TYPE == "React.js" || PROJECT_TYPE == "Auto-detect" ? "#### React Analysis (if detected)
- React version and key patterns (hooks vs class components)
- State management approach (Context, Redux, Zustand, etc.)
- Component library usage (Material-UI, Chakra, etc.)
- Routing implementation
- Form handling strategies
- API integration patterns
- Testing approach for components" : ""}
${PROJECT_TYPE == "Python" || PROJECT_TYPE == "Auto-detect" ? "#### Python Analysis (if detected)
- Python version and key language features used
- Package dependencies and virtual environment setup
- Web framework details (Django, Flask, FastAPI)
- ORM usage patterns
- Project structure organization
- API design patterns" : ""}
3. Implementation Patterns & Conventions
${INCLUDE_CONVENTIONS ? "Document coding conventions and patterns for each technology area:
Naming Conventions
- Class/type naming patterns
- Method/function naming patterns
- Variable naming conventions
- File naming and organization conventions
- Interface/abstract class patterns
Code Organization
- File structure and organization
- Folder hierarchy patterns
- Component/module boundaries
- Code separation and responsibility patterns
Common Patterns
- Error handling approaches
- Logging patterns
- Configuration access
- Authentication/authorization implementation
- Validation strategies
- Testing patterns" : ""}
4. Usage Examples
${INCLUDE_USAGE_PATTERNS ? "Extract representative code examples showing standard implementation patterns:
API Implementation Examples
- Standard controller/endpoint implementation
- Request DTO pattern
- Response formatting
- Validation approach
- Error handling
Data Access Examples
- Repository pattern implementation
- Entity/model definitions
- Query patterns
- Transaction handling
Service Layer Examples
- Service class implementation
- Business logic organization
- Cross-cutting concerns integration
- Dependency injection usage
UI Component Examples (if applicable)
- Component structure
- State management pattern
- Event handling
- API integration pattern" : ""}
5. Technology Stack Map
${DEPTH_LEVEL == "Comprehensive" || DEPTH_LEVEL == "Implementation-Ready" ? "Create a comprehensive technology map including:
Core Framework Usage
- Primary frameworks and their specific usage in the project
- Framework-specific configurations and customizations
- Extension points and customizations
Integration Points
- How different technology components integrate
- Authentication flow between components
- Data flow between frontend and backend
- Third-party service integration patterns
Development Tooling
- IDE settings and conventions
- Code analysis tools
- Linters and formatters with configuration
- Build and deployment pipeline
- Testing frameworks and approaches
Infrastructure
- Deployment environment details
- Container technologies
- Cloud services utilized
- Monitoring and logging infrastructure" : ""}
6. Technology-Specific Implementation Details
${PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect" ? "#### .NET Implementation Details (if detected)
-
Dependency Injection Pattern:
- Service registration approach (Scoped/Singleton/Transient patterns)
- Configuration binding patterns
-
Controller Patterns:
- Base controller usage
- Action result types and patterns
- Route attribute conventions
- Filter usage (authorization, validation, etc.)
-
Data Access Patterns:
- ORM configuration and usage
- Entity configuration approach
- Relationship definitions
- Query patterns and optimization approaches
-
API Design Patterns (if used):
- Endpoint organization
- Parameter binding approaches
- Response type handling
-
Language Features Used:
- Detect specific language features from code
- Identify common patterns and idioms
- Note any specific version-dependent features" : ""}
${PROJECT_TYPE == "React.js" || PROJECT_TYPE == "Auto-detect" ? "#### React Implementation Details (if detected)
-
Component Structure:
- Function vs class components
- Props interface definitions
- Component composition patterns
-
Hook Usage Patterns:
- Custom hook implementation style
- useState patterns
- useEffect cleanup approaches
- Context usage patterns
-
State Management:
- Local vs global state decisions
- State management library patterns
- Store configuration
- Selector patterns
-
Styling Approach:
- CSS methodology (CSS modules, styled-components, etc.)
- Theme implementation
- Responsive design patterns" : ""}
7. Blueprint for New Code Implementation
${DEPTH_LEVEL == "Implementation-Ready" ? "Based on the analysis, provide a detailed blueprint for implementing new features:
- File/Class Templates: Standard structure for common component types
- Code Snippets: Ready-to-use code patterns for common operations
- Implementation Checklist: Standard steps for implementing features end-to-end
- Integration Points: How to connect new code with existing systems
- Testing Requirements: Standard test patterns for different component types
- Documentation Requirements: Standard doc patterns for new features" : ""}
${INCLUDE_DIAGRAMS ? "### 8. Technology Relationship Diagrams
- Stack Diagram: Visual representation of the complete technology stack
- Dependency Flow: How different technologies interact
- Component Relationships: How major components depend on each other
- Data Flow: How data flows through the technology stack" : ""}
${INCLUDE_DIAGRAMS ? "9" : "8"}. Technology Decision Context
- Document apparent reasons for technology choices
- Note any legacy or deprecated technologies marked for replacement
- Identify technology constraints and boundaries
- Document technology upgrade paths and compatibility considerations
Format the output as ${OUTPUT_FORMAT} and categorize technologies by ${CATEGORIZATION}.
Save the output as 'Technology_Stack_Blueprint.${OUTPUT_FORMAT == "Markdown" ? "md" : OUTPUT_FORMAT.toLowerCase()}' "
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