dev-git-workflow

Solid

Team Git patterns for branching, PRs, commits, and code review. Use when choosing a branching model or hardening repo collaboration.

AI & Automation 80 stars 17 forks Updated 1 weeks ago MIT

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Skill Content

# Git Workflow (Modern Team Collaboration) Use modern Git collaboration patterns: GitHub Flow for continuous deploy, trunk-based for scale, Conventional Commits for automation, stacked diffs for large features. Use this skill to choose a branching model, standardize PR discipline, enforce commit conventions, and harden repository settings for safe collaboration. ## Quick Start 1. Identify constraints (team size, release cadence, CI maturity, compliance). 2. Choose a branching strategy using the decision tree. 3. Apply the baseline repo settings (branch protection, approvals, checks, merge strategy). 4. Use the relevant reference doc for implementation details. 5. If asked "best practice in 2026", verify via web search using `data/sources.json` as a starting source list. ## Quick Reference | Task | Tool/Command | When to Use | Reference | |------|-------------|-------------|-----------| | Create feature branch | `git switch -c feat/name main` | Start new work | [Branching Strategies](references/branching-strategies.md) | | Create feature worktree | `git worktree add .worktrees/feature -b feature/name` | Isolate one feature per agent/branch | [AI Agent Worktrees](references/ai-agent-worktrees.md) | | Squash WIP commits | `git rebase -i HEAD~3` | Clean up before PR | [Interactive Rebase](references/interactive-rebase-guide.md) | | Conventional commit | `git commit -m "feat: add feature"` | All commits | [Commit Conventions](references/commit-conventions.md) | | Force push ...

Details

Author
vasilyu1983
Repository
vasilyu1983/AI-Agents-public
Created
9 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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