Technology Stack Blueprint Generator
GitHubOfficialOriginally contributed by @zooav as prompts/technology-stack-blueprint-generator.prompt.md; moved into a skill by pull request #761Distributed by GitHub
- Skill
- Content generator
- Software development
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The Technology Stack Blueprint Generator analyzes project codebases to produce comprehensive architectural documentation. It identifies programming languages, dependencies, and implementation patterns across various platforms including .NET, Java, JavaScript, React, and Python. The tool generates structured blueprints that can include versioning, licensing, coding conventions, and visual diagrams, providing a foundation for maintaining architectural consistency in future development.
What it does
- Detects technology stacks and programming languages within a codebase
- Extracts dependency information and versioning details
- Documents coding conventions and common implementation patterns
- Generates architectural diagrams and technology relationship maps
- Provides implementation-ready templates for new feature development
- Outputs documentation in multiple formats including Markdown, JSON, YAML, and HTML
When to use it
- When onboarding new developers to an existing project
- When preparing to document legacy systems or complex architectures
- When establishing standardized coding practices across a team
- When planning technology upgrades or system refactoring
- When creating architectural reference material for project stakeholders
Advantages
- Automates the tedious process of manual architectural documentation
- Ensures consistency by extracting patterns directly from the source code
- Supports multiple popular technology stacks and frameworks
- Offers configurable depth levels ranging from basic summaries to implementation-ready guides
- Facilitates easier knowledge transfer through structured output
Usage examples
- “Analyze my current React project and generate a standard blueprint including version info and coding conventions in Markdown.”
- The agent scans the project files to produce a structured Markdown document detailing the React version, state management patterns, component structure, and established coding conventions.
- “Create an implementation-ready blueprint for my .NET backend, including diagrams and usage patterns.”
- The agent generates a comprehensive report containing .NET-specific dependency injection patterns, controller structures, data access strategies, and visual diagrams of the system architecture.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/github/technology-stack-blueprint-generator/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip technology-stack-blueprint-generator.zip -d .agents/skills
Documentation by zooav
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()}' "
Files
- ATTRIBUTION.mdAdded by AutoGineer1.2 KiB
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md9.6 KiB
LICENSE
MIT License Copyright GitHub, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Requirements and compatibility
Written for: GitHub Copilot
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Originally contributed by
@zooavas prompts/technology-stack-blueprint-generator.prompt.mdmoved into a skill by pull request #761
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · skills/technology-stack-blueprint-generator · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- zooav
AutoGineer is not affiliated with or endorsed by zooav or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download technology-stack-blueprint-generator.zip