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project-scaffold

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更新日2026年3月16日 07:14

Bootstrap new biomedical ML research repositories with production-grade structure. Use when: (1) Creating a new research project from scratch, (2) Setting up pyproject.toml with uv, (3) Establishing directory layout, CLAUDE.md, or config patterns for a biomedical/healthcare ML project.

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leoyin1127

leoyin1127/biomed-agent-kit

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関連職種SOC

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ソフトウェア開発者コンピュータ・数学職·SOC 15-1252

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Research biomedical and ML papers across the internet, focusing on top venues and publishers. Use when: (1) Searching for state-of-the-art methods in a biomedical domain, (2) Finding papers from top venues (Nature Medicine, Lancet, MICCAI, NeurIPS, ICML, CVPR, TMI, MedIA), (3) Reviewing related work for a research topic, (4) Finding benchmark datasets or baselines for a task, (5) Comparing methods across papers, (6) Summarizing recent advances in a biomedical subfield.

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name	project-scaffold
description	Bootstrap new biomedical ML research repositories with production-grade structure. Use when: (1) Creating a new research project from scratch, (2) Setting up pyproject.toml with uv, (3) Establishing directory layout, CLAUDE.md, or config patterns for a biomedical/healthcare ML project.

Project Scaffold

Quick Start

python scripts/init_project.py my-study --path /path/to/workspace --python-version 3.11
python scripts/init_project.py my-study --path /path/to/workspace --python-version 3.11 --docker --dependency monai
cd my-study && uv sync && uv run pytest tests/

Creates a uv-managed Python project with: src/<pkg>/config.py for paths/settings, tests/, a dated docs/<YYYYMMDD>/ directory, CLAUDE.md, pre-commit hooks, ruff config, and standard biomedical ML dependencies.

What Gets Created

my-study/
├── pyproject.toml          # uv/hatch config + dependencies + ruff config
├── .python-version         # Pinned Python version
├── .pre-commit-config.yaml # ruff linting + formatting
├── .env.example            # Template for secrets
├── .gitignore
├── CLAUDE.md               # Agent guidance
├── README.md
├── Dockerfile              # Optional, if --docker is passed
├── .dockerignore           # Optional, if --docker is passed
├── src/<pkg>/
│   ├── __init__.py
│   └── config.py           # Paths and project settings (env var overrides)
├── scripts/                # CLI entry points
├── tests/
│   └── test_config.py
└── docs/<YYYYMMDD>/        # Dated reports and figures

Decision Points

ASK the user before scaffolding:

What Python version (3.10, 3.11, 3.12)?
Do they need Docker support for reproducible environments?
Any additional dependencies beyond the defaults (numpy, pandas, scikit-learn, scipy, tqdm, matplotlib, wandb)?

References

File	Read When
references/project-structure.md	Directory layout conventions, uv setup, config patterns, CLAUDE.md template, pre-commit/ruff setup, Docker support, env var management

Scripts

Script	Purpose
`scripts/init_project.py`	Scaffold a minimal new project (supports `--python-version`, `--docker`, and repeatable `--dependency` flags)