Generate Tech Stack

generate-tech-stack

Scan any project and generate a visual TECH_STACK.html page — light/dark theme, auto-adapting, zero config.

Works as a Claude Code skill, MCP server, or GitHub Copilot Extension.

[Live demo →](https://askuma.github.io/generate-tech-stack/) — generated from fastapi/full-stack-fastapi-template, unmodified.

*(real CLI output, unscripted — static screenshot if you'd rather not autoplay)*

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What it produces

Every generated page contains:

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Repository layout

~/.claude/skills/generate-tech-stack/

├── SKILL.md ← Claude Code skill definition ├── INSTALL.md ← detailed per-platform installation guide ├── README.md ← this file ├── scripts/ │ └── analyze.py ← core scanner + HTML renderer (no dependencies) ├── mcp/ │ ├── server.py ← MCP stdio server (pip install mcp) │ └── requirements.txt └── copilot/ ├── index.js ← GitHub Copilot Extension (Express) ├── package.json └── openai_function.json ← OpenAI / Antigravity function definition

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Usage

pip (CLI + MCP server)

pip install generate-tech-stack-mcp

generate-tech-stack . TECH_STACK.html # CLI: scan and write the report generate-tech-stack-mcp # stdio MCP server

With pip installed, any MCP host config reduces to:

{

"mcpServers": { "generate-tech-stack": { "command": "generate-tech-stack-mcp" } } }

Claude Code

/generate-tech-stack

Run it from any project directory. The skill calls scripts/analyze.py and opens the result in your browser.

MCP (Claude Desktop, VS Code, Cursor, Zed, Windsurf, Continue)

pip install mcp

Add to your host's MCP config (replace the path with your actual home directory):

{

"mcpServers": { "generate-tech-stack": { "command": "python3", "args": ["/home/ /.claude/skills/generate-tech-stack/mcp/server.py"] } } }

Then ask: generate my tech stack or /generate-tech-stack.

MCP tools exposed:

• generate_tech_stack — scans a project, writes TECH_STACK.html, opens in browser
• list_tech_stack — returns a JSON summary, no file written

GitHub Copilot Extension

cd copilot

npm install npm start # listens on port 3000 ngrok http 3000 # expose for GitHub to reach

Register a GitHub App with Copilot Extension enabled, set the Agent URL to https://your-url/agent, and install it on your account. Then in Copilot Chat:

@generate-tech-stack /generate-tech-stack

@generate-tech-stack /generate-tech-stack /path/to/project

Command line (standalone)

python3 ~/.claude/skills/generate-tech-stack/scripts/analyze.py /path/to/project

output: /path/to/project/TECH_STACK.html

custom output path:

python3 scripts/analyze.py . ~/Desktop/TECH_STACK.html

analyze.py has no third-party dependencies — just Python 3.8+.

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What gets detected

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Detected categories

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Design

Dark by default with a light-mode toggle (top-right corner, no persistence — resets to dark on reload). Fonts: IBM Plex Sans (body) + JetBrains Mono (code/badges), loaded from Google Fonts. Vanilla JS powers the guided tour and theme toggle only — everything else is plain HTML + CSS. Self-contained single file, opens in any browser offline.

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See also

• INSTALL.md — per-platform setup instructions
• SKILL.md — Claude Code skill specification