Language & Stack Detection

Automatic Language Recognition & Setup

Detection: File extensions, config files, package managers
Support: 25+ languages

Overview

Automatically detect project language and recommend appropriate tooling.

Detection Methods

1. File Extensions: .py, .js, .go, .rs
2. Config Files: package.json, Cargo.toml, go.mod
3. Lock Files: package-lock.json, Cargo.lock, go.sum

Language Patterns

Python

Detection:

• Files: *.py, requirements.txt, pyproject.toml
• Tools: pip, uv, poetry

Setup:

# Modern (uv)
uv init
uv add fastapi pytest

# Traditional
python -m venv .venv
pip install -r requirements.txt

JavaScript/TypeScript

Detection:

• Files: *.js, *.ts, package.json, tsconfig.json
• Tools: npm, yarn, pnpm

Setup:

npm install
npm run build

Go

Detection:

• Files: *.go, go.mod, go.sum

Setup:

go mod download
go build ./...

Rust

Detection:

• Files: *.rs, Cargo.toml, Cargo.lock

Setup:

cargo build
cargo test

Multi-Language Projects

Monorepo Detection:

project/
├── backend/     # Python
│   └── pyproject.toml
├── frontend/    # TypeScript
│   └── package.json
└── services/    # Go
    └── go.mod

Recommendation: Use workspace tools (Turborepo, Nx, Lerna)

Validation Checklist

• Detection: Language correctly identified?
• Version: Specific version recommended?
• Tools: Package manager specified?
• Setup: Installation steps provided?

Related Skills

• moai-domain-backend: Backend development
• moai-domain-frontend: Frontend development

Last Updated: 2025-11-20