MLOps project initialization with uv/git/VS Code best practices
Scanned 9/7/2026
Install to Claude Code
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---
name: mlops-initialization-cn
version: 1.0.0
description: MLOps project initialization with uv/git/VS Code best practices
license: MIT
---
# MLOps 项目初始化 🚀
Setup new MLOps projects with modern Python toolchain.
## Features
### 1. Project Initialization 📦
Create complete project structure:
```bash
./scripts/init-project.sh my-mlops-project
```
Creates:
- `src/` layout
- `pyproject.toml` with uv
- `.gitignore` (Python/MLOps)
- `.vscode/settings.json`
- Git repository
### 2. Configuration Templates 📋
Copy reference configs:
```bash
# pyproject.toml template
cp references/pyproject.toml ../your-project/
# VS Code settings
cp references/vscode-settings.json ../your-project/.vscode/
```
## Quick Start
```bash
# Initialize new project
./scripts/init-project.sh my-project
cd my-project
# Add dependencies
uv add pandas numpy scikit-learn
# Sync environment
uv sync
# Verify
uv run python -c "import sys; print(sys.executable)"
```
## What You Get
- ✅ `src/` package layout
- ✅ Locked dependencies (`uv.lock`)
- ✅ Ruff + MyPy configured
- ✅ VS Code settings
- ✅ Git repository
## References
- `references/pyproject.toml` - Full config example
- `references/vscode-settings.json` - IDE settings
## Author
Converted from [MLOps Coding Course](https://github.com/MLOps-Courses/mlops-coding-skills)
## Changelog
### v1.0.0 (2026-02-18)
- Initial OpenClaw conversion
- Added init script
- Added reference configs
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