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version-control-research

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Make research reproducible with Git + DVC.

Software Engineering#git#github actions#secrets management#reproducibility#experiment tracking#dvc
Authorxjtulyc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you prevent irreproducible research by standardizing how analysis code, datasets, experiments, and configuration are tracked, versioned, and validated across time and collaborators.

Core Features & Use Cases

  • Git branching for research: structure stable paper-linked code (main) versus ongoing work (dev) and isolated experiments (feature/*).
  • DVC data and experiment tracking: track large data, metrics, and parameter changes via dvc.yaml, params.yaml, and dvc exp workflows.
  • Reproducibility CI and safety: run end-to-end dvc repro in GitHub Actions and enforce quality with pre-commit hooks, while keeping secrets out of Git using .env and python-dotenv.
  • Paper-aligned version tagging: apply semantic version tags at submission and revision milestones so published results map to exact code states.

Quick Start

Use the version-control-research Skill to generate a Git + DVC repository setup for your new analysis project, then run the pipeline reproducibility checks in CI.

Dependency Matrix

Required Modules

dvcpre-commitpython-dotenv

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: version-control-research
Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#version-control-research

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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