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.

(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

---

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