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Git Advanced Workflows

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wshobson
git-advanced-workflows

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.

Overview

Publisherwshobson
Repositoryagents
Skill namegit-advanced-workflows
Stars
39.8K
Forks
4.2K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by wshobson on GitHub. Read the source before you install it.

Installation

Install the Git Advanced Workflows AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wshobson/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/plugins/developer-essentials/skills/git-advanced-workflows .claude/skills/git-advanced-workflows
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Git Advanced Workflows in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Git Advanced Workflows on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Git Advanced Workflows is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Git Advanced Workflows

Master advanced Git techniques to maintain clean history, collaborate effectively, and recover from any situation with confidence.

When to Use This Skill

  • Cleaning up commit history before merging
  • Applying specific commits across branches
  • Finding commits that introduced bugs
  • Working on multiple features simultaneously
  • Recovering from Git mistakes or lost commits
  • Managing complex branch workflows
  • Preparing clean PRs for review
  • Synchronizing diverged branches

Core Concepts

1. Interactive Rebase

Interactive rebase is the Swiss Army knife of Git history editing.

Common Operations:

  • pick: Keep commit as-is
  • reword: Change commit message
  • edit: Amend commit content
  • squash: Combine with previous commit
  • fixup: Like squash but discard message
  • drop: Remove commit entirely

Basic Usage:

bash
# Rebase last 5 commits
git rebase -i HEAD~5

# Rebase all commits on current branch
git rebase -i $(git merge-base HEAD main)

# Rebase onto specific commit
git rebase -i abc123

2. Cherry-Picking

Apply specific commits from one branch to another without merging entire branches.

bash
# Cherry-pick single commit
git cherry-pick abc123

# Cherry-pick range of commits (exclusive start)
git cherry-pick abc123..def456

# Cherry-pick without committing (stage changes only)
git cherry-pick -n abc123

# Cherry-pick and edit commit message
git cherry-pick -e abc123

3. Git Bisect

Binary search through commit history to find the commit that introduced a bug.

bash
# Start bisect
git bisect start

# Mark current commit as bad
git bisect bad

# Mark known good commit
git bisect good v1.0.0

# Git will checkout middle commit - test it
# Then mark as good or bad
git bisect good  # or: git bisect bad

# Continue until bug found
# When done
git bisect reset

Automated Bisect:

bash
# Use script to test automatically
git bisect start HEAD v1.0.0
git bisect run ./test.sh

# test.sh should exit 0 for good, 1-127 (except 125) for bad

4. Worktrees

Work on multiple branches simultaneously without stashing or switching.

bash
# List existing worktrees
git worktree list

# Add new worktree for feature branch
git worktree add ../project-feature feature/new-feature

# Add worktree and create new branch
git worktree add -b bugfix/urgent ../project-hotfix main

# Remove worktree
git worktree remove ../project-feature

# Prune stale worktrees
git worktree prune

5. Reflog

Your safety net - tracks all ref movements, even deleted commits.

bash
# View reflog
git reflog

# View reflog for specific branch
git reflog show feature/branch

# Restore deleted commit
git reflog
# Find commit hash
git checkout abc123
git branch recovered-branch

# Restore deleted branch
git reflog
git branch deleted-branch abc123

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

  1. Always Use --force-with-lease: Safer than --force, prevents overwriting others' work
  2. Rebase Only Local Commits: Don't rebase commits that have been pushed and shared
  3. Descriptive Commit Messages: Future you will thank present you
  4. Atomic Commits: Each commit should be a single logical change
  5. Test Before Force Push: Ensure history rewrite didn't break anything
  6. Keep Reflog Aware: Remember reflog is your safety net for 90 days
  7. Branch Before Risky Operations: Create backup branch before complex rebases
bash
# Safe force push
git push --force-with-lease origin feature/branch

# Create backup before risky operation
git branch backup-branch
git rebase -i main
# If something goes wrong
git reset --hard backup-branch

Common Pitfalls

  • Rebasing Public Branches: Causes history conflicts for collaborators
  • Force Pushing Without Lease: Can overwrite teammate's work
  • Losing Work in Rebase: Resolve conflicts carefully, test after rebase
  • Forgetting Worktree Cleanup: Orphaned worktrees consume disk space
  • Not Backing Up Before Experiment: Always create safety branch
  • Bisect on Dirty Working Directory: Commit or stash before bisecting

Recovery Commands

bash
# Abort operations in progress
git rebase --abort
git merge --abort
git cherry-pick --abort
git bisect reset

# Restore file to version from specific commit
git restore --source=abc123 path/to/file

# Undo last commit but keep changes
git reset --soft HEAD^

# Undo last commit and discard changes
git reset --hard HEAD^

# Recover deleted branch (within 90 days)
git reflog
git branch recovered-branch abc123

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Git Advanced Workflows AI skill do?

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.

Why use Git Advanced Workflows on TypingMind?

Because you install it once and use it with any model. Git Advanced Workflows is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Git Advanced Workflows in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wshobson/agents/tree/main/plugins/developer-essentials/skills/git-advanced-workflows. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Git Advanced Workflows?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Git Advanced Workflows?

As many as you like. As long as a model supports skills, you can use Git Advanced Workflows with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Git Advanced Workflows AI skill free?

Yes. It is published on GitHub by wshobson under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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