git-workflow

Guide Git version control with Conventional Commits and branching strategies.

21|4|Updated Mar 14, 2026

Search Tags:#git #collaboration #version control #conventional commits #branching #research workflow

Ready to run

npx skills add https://github.com/HaipingXu/social-science-claude-scholar --skill git-workflow-haipingxu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: git-workflow
Source: https://github.com/HaipingXu/social-science-claude-scholar/tree/main/skills/git-workflow
Command: npx skills add https://github.com/HaipingXu/social-science-claude-scholar --skill git-workflow-haipingxu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines version control for research projects and software development, ensuring code integrity, collaboration efficiency, and a clear history of changes.

Core Features & Use Cases

Research Project Structure: Provides a standardized directory layout for data, analysis, and paper writing.
Conventional Commits: Enforces a consistent commit message format for better readability and automation.
Branching Strategies: Outlines clear workflows for feature development, bug fixes, and releases.
Data Versioning: Integrates with DVC or Git LFS for managing large data files.
Use Case: A research team can use this skill to ensure all collaborators follow the same Git practices, making it easy to track changes to analysis scripts, manage different versions of data, and prepare replication packages.

Quick Start

Use the git-workflow skill to set up a new research project with a standard directory structure and Git configuration.

Frequently Asked Questions about git-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I set up a Git repository structure for a research project?▼

To set up a Git repository structure for a research project, you should use a standardized directory layout that organizes data, analysis scripts, and paper writing separately to ensure clear tracking of changes and efficient collaboration.

What is the best way to enforce consistent Git commit messages for collaboration?▼

The best way to enforce consistent Git commit messages is to adopt Conventional Commits standards, which provide a uniform format for better readability, automated processing, and clear history of project changes across team members.

How do I version control large datasets alongside my code in Git?▼

To version control large datasets alongside your code in Git, integrate Data Version Control (DVC) or Git LFS to manage large data files efficiently without bloating the repository history.

What branching strategy should I use for feature development and bug fixes?▼

For feature development and bug fixes, you should implement clear branching strategies that separate feature branches, bug fix branches, and release branches to maintain project integrity and streamline collaboration.

How do I resolve Git conflicts when collaborating on analysis scripts?▼

To resolve Git conflicts when collaborating on analysis scripts, follow established conflict resolution best practices that enforce structured merging workflows, ensuring code integrity and a clear history of changes across the team.

Can I use this Git workflow for preparing research replication packages?▼

Yes, you can use this Git workflow for preparing research replication packages, as it standardizes directory structure, data versioning with DVC or Git LFS, and commit history to ensure all collaborators can track and reproduce analysis changes.