MLOps project initialization with uv/git/VS Code best practices
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
SkillHub CLI
skillhub install guohongbin-git/mlops-initialization-cn打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。
Setup new MLOps projects with modern Python toolchain.
Create complete project structure:
./scripts/init-project.sh my-mlops-project
Creates:
src/ layoutpyproject.toml with uv.gitignore (Python/MLOps).vscode/settings.json
Copy reference configs:
# pyproject.toml template
cp references/pyproject.toml ../your-project/
# VS Code settings
cp references/vscode-settings.json ../your-project/.vscode/
# 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)"
src/ package layoutuv.lock)references/pyproject.toml - Full config examplereferences/vscode-settings.json - IDE settingsConverted from MLOps Coding Course
这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
Modern Python project setup using uv package manager.
# Initialize new project
./scripts/init-project.sh my-mlops-project
# Add dependencies
uv add pandas numpy scikit-learn
# Sync environment
uv sync
Converted from MLOps Coding Course
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
# MLOps 项目初始化 Modern Python project setup using `uv` package manager. ## Features - 📦 **Project Initialization** - Create complete project structure - 📋 **Configuration Templates** - pyproject.toml, VS Code settings - 🔧 **Git Setup** - .gitignore, initial commit - ✅ **Validation** - Ensure environment correctness ## Quick Start ```bash # Initialize new project ./scripts/init-project.sh my-mlops-project # Add dependencies uv add pandas numpy scikit-learn # Sync environment uv sync ``` ## Author Converted from [MLOps Coding Course](https://github.com/MLOps-Courses/mlops-coding-skills) ## License MIT
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