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Generate Tech Stack

by askuma
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generate-tech-stack

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

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

Live demo → — generated from fastapi/full-stack-fastapi-template, unmodified.

Running generate-tech-stack against fastapi/full-stack-fastapi-template, from pip install to the generated page

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

What it produces

Every generated page contains:

Section

Description

Stat row

Total tools · Categories · AI Backends · Data Stores

Architecture diagram

Layered flow diagram (Consumer → API → AI/NLP → Data/Obs/Frontend)

Bar chart

Horizontal bars per category, colour-matched

Tool cards

One card per category; each tool shows a dot, name, description, and badge

Badge legend

Explains pip, dep, optional, core, deploy, ci, etc.

Footer

Project name · tool count · generation date

Related MCP server: sourcebook

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

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/<you>/.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+.

What gets detected

Source file

Detected tools

requirements.txt / pyproject.toml

Python packages (web, DB, AI, testing, observability, security…)

package.json

Node / npm packages (frameworks, frontend, DB drivers, tooling)

go.mod

Go language

Cargo.toml

Rust language

pom.xml / build.gradle

Java / Kotlin

Gemfile

Ruby

composer.json

PHP

**/*.py source

Optional/dynamic SDKs via importlib.find_spec() patterns

docker-compose.yml / .env

PostgreSQL, Redis, MongoDB, SQLite connection strings

Dockerfile

Docker

docker-compose.yml

Docker Compose

.github/workflows/

GitHub Actions

.gitlab-ci.yml

GitLab CI

alembic.ini

Alembic migrations

nginx.conf / Caddyfile

Reverse proxy

tsconfig.json / src/**/*.ts

TypeScript

Detected categories

Category

Colour

Examples

Language & Runtime

Green

Python, Go, Rust, TypeScript

Web / API Framework

Purple

FastAPI, Express, Django, Next.js

Database / Storage

Green

SQLAlchemy, Prisma, Redis, ChromaDB

AI Guardrail SDKs

Blue

GuardrailsAI, NVIDIA NeMo, Presidio, Lakera

NLP / ML

Teal

spaCy, Transformers, Sentence Transformers

Observability

Teal

Prometheus, OpenTelemetry, Sentry, Loguru

Testing

Yellow

pytest, Jest, Cypress, Playwright

Security / Auth

Rose

PyJWT, bcrypt, Authlib, Helmet

Infrastructure / Deploy

Orange

Docker, Kubernetes, Celery, Boto3

Frontend / Dashboard

Gray

React, Vue, Tailwind, Recharts

Messaging / Comms

Blue

Kafka, RabbitMQ, Socket.io

Dev Tools

Gray

ESLint, Prettier, Vite, TypeScript

Design

Dark-mode only. Fonts: IBM Plex Sans (body) + JetBrains Mono (code/badges), loaded from Google Fonts. No JavaScript — pure HTML + CSS. Self-contained single file, opens in any browser offline.

See also

  • INSTALL.md — per-platform setup instructions

  • SKILL.md — Claude Code skill specification

Install Server
A
license - permissive license
A
quality
A
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
0dRelease cycle
2Releases (12mo)
Commit activity

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