Official agent skill

Technology Stack Blueprint Generator

by github in github/awesome-copilot

Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation.

OfficialMITAuto-check passedDevelopment

Install Technology Stack Blueprint Generator

skills CLI
$ npx skills add github/awesome-copilot --skill technology-stack-blueprint-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot technology-stack-blueprint-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/technology-stack-blueprint-generator .claude/skills/technology-stack-blueprint-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
technology-stack-blueprint-generator
GitHub stars
40k
Used in
1 other repo
Token cost
~2.5k tokens
SKILL.md length
890 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation.

  • Works in 7 steps: Technology Identification Phase → Core Technologies Analysis → Implementation Patterns & Conventions → …
  • Tasks that involve Diagrams
  • SKILL.md covers Configuration Variables and Generated Prompt
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Technology Stack Blueprint Generator is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. 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…

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Diagrams. It works with Java, .NET, React and JavaScript. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve Diagrams

Example prompts

  • “/technology-stack-blueprint-generator”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Technology Identification Phase
  2. Core Technologies Analysis
  3. Implementation Patterns & Conventions
  4. Usage Examples
  5. Technology Stack Map
  6. Technology-Specific Implementation Details
  7. Blueprint for New Code Implementation

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Technology Stack Blueprint Generator loads about 2.5k tokens when it runs. Until then it costs about 140 tokens; SKILL.md has 890 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~140
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 890 words, ~2,461 tokens.

Download SKILL.mdSave it as .claude/skills/technology-stack-blueprint-generator/SKILL.md (or your agent's skills folder).
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
Show full SKILL.md (371 more words)Show less
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()}' "

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/technology-stack-blueprint-generator of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Cross-Language Coding Standardszereight/gitlab-mcp2k1 repos~1.4kAutomated safety check: PassMIT
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Questions about Technology Stack Blueprint Generator

What does Technology Stack Blueprint Generator do?

Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation. Technology Stack Blueprint Generator is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation.

When should I use Technology Stack Blueprint Generator?

Technology Stack Blueprint Generator fits situations like: tasks that involve Diagrams.

How do I install Technology Stack Blueprint Generator in Claude Code?

Run `npx skills add github/awesome-copilot --skill technology-stack-blueprint-generator -a claude-code`. Or copy the skill folder (skills/technology-stack-blueprint-generator in github/awesome-copilot) into .claude/skills/technology-stack-blueprint-generator in your project. Claude Code loads it when a task matches its description.

How do I install Technology Stack Blueprint Generator in Codex?

Run `npx skills add github/awesome-copilot --skill technology-stack-blueprint-generator -a codex`. Or copy the skill folder (skills/technology-stack-blueprint-generator in github/awesome-copilot) into .agents/skills/technology-stack-blueprint-generator in your project. Codex loads it when a task matches its description.

Can I use Technology Stack Blueprint Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill technology-stack-blueprint-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/technology-stack-blueprint-generator, .gemini/skills/technology-stack-blueprint-generator, .github/skills/technology-stack-blueprint-generator and .opencode/skills/technology-stack-blueprint-generator in your project.

What does Technology Stack Blueprint Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Technology Stack Blueprint Generator is instructions for the agent only. Our summary lists: Python 3.

Does Technology Stack Blueprint Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Technology Stack Blueprint Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Technology Stack Blueprint Generator use?

Technology Stack Blueprint Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Technology Stack Blueprint Generator use?

About 2.5k tokens (SKILL.md is roughly 9.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Technology Stack Blueprint Generator?

Skills that share tags, products or a category with Technology Stack Blueprint Generator: CodeScope Codebase Graph Analysis (QwenLM/qwen-code, 28k stars), Code To Chart (rongxinzy/RongxinAI, 154 stars), Deprecated API Updater (ArabelaTso/Skills-4-SE, 253 stars) and Cross-Language Coding Standards (zereight/gitlab-mcp, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Technology Stack Blueprint Generator?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.