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Git Workflow

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bradygaster
git-workflow

Squad branching model: dev-first workflow with insiders preview channel

Overview

Publisherbradygaster
Repositorysquad
Skill namegit-workflow
Stars
3.3K
Forks
506
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Git Workflow 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.
    https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/git-workflow
  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/bradygaster/squad.git /tmp/squad
mkdir -p .claude/skills
cp -r /tmp/squad/packages/squad-cli/templates/skills/git-workflow .claude/skills/git-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Git Workflow 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 Workflow 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 Workflow 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.

Context

Squad uses a three-branch model. All feature work starts from dev, not main.

BranchPurposePublishes
mainReleased, tagged, in-npm code onlynpm publish on tag
devIntegration branch — all feature work lands herenpm publish --tag preview on merge
insidersEarly-access channel — synced from devnpm publish --tag insiders on sync

Branch Naming Convention

Issue branches MUST use: squad/{issue-number}-{kebab-case-slug}

Examples:

  • squad/195-fix-version-stamp-bug
  • squad/42-add-profile-api

Workflow for Issue Work

  1. Branch from dev:

    bash
    git checkout dev
    git pull origin dev
    git checkout -b squad/{issue-number}-{slug}
  2. Mark issue in-progress:

    bash
    gh issue edit {number} --add-label "status:in-progress"
  3. Create draft PR targeting dev:

    bash
    gh pr create --base dev --title "{description}" --body "Closes #{issue-number}" --draft
  4. Do the work. Make changes, write tests, commit with issue reference.

  5. Push and mark ready:

    bash
    git push -u origin squad/{issue-number}-{slug}
    gh pr ready
  6. After merge to dev:

    bash
    git checkout dev
    git pull origin dev
    git branch -d squad/{issue-number}-{slug}
    git push origin --delete squad/{issue-number}-{slug}

Parallel Multi-Issue Work (Worktrees)

When the coordinator routes multiple issues simultaneously (e.g., "fix bugs X, Y, and Z"), use git worktree to give each agent an isolated working directory. No filesystem collisions, no branch-switching overhead.

When to Use Worktrees vs Sequential

ScenarioStrategy
Single issueStandard workflow above — no worktree needed
2+ simultaneous issues in same repoWorktrees — one per issue
Work spanning multiple reposSeparate clones as siblings (see Multi-Repo below)

Setup

From the main clone (must be on dev or any branch):

bash
# Ensure dev is current
git fetch origin dev

# Create a worktree per issue — siblings to the main clone
git worktree add ../squad-195 -b squad/195-fix-stamp-bug origin/dev
git worktree add ../squad-193 -b squad/193-refactor-loader origin/dev

Naming convention: ../{repo-name}-{issue-number} (e.g., ../squad-195, ../squad-pr-42).

Each worktree:

  • Has its own working directory and index
  • Is on its own squad/{issue-number}-{slug} branch from dev
  • Shares the same .git object store (disk-efficient)

Per-Worktree Agent Workflow

Each agent operates inside its worktree exactly like the single-issue workflow:

bash
cd ../squad-195

# Stage only the files changed for this issue, then inspect the commit contents
git add -- path/to/intentionally-changed-file
git diff --cached --stat
git diff --cached
git commit -m "fix: stamp bug (#195)"
git push -u origin squad/195-fix-stamp-bug

# Create PR targeting dev
gh pr create --base dev --title "fix: stamp bug" --body "Closes #195" --draft

All PRs target dev independently. Agents never interfere with each other's filesystem.

.squad/ State in Worktrees

The .squad/ directory exists in each worktree as a copy. This is safe because:

  • .gitattributes declares merge=union on append-only files (history.md, decisions.md, logs)
  • Each agent appends to its own section; union merge reconciles on PR merge to dev
  • Rule: Never rewrite or reorder .squad/ files in a worktree — append only

Cleanup After Merge

After a worktree's PR is merged to dev:

bash
# From the main clone
git worktree remove ../squad-195
git worktree prune          # clean stale metadata
git branch -d squad/195-fix-stamp-bug
git push origin --delete squad/195-fix-stamp-bug

If a worktree was deleted manually (rm -rf), git worktree prune recovers the state.


Multi-Repo Downstream Scenarios

When work spans multiple repositories (e.g., squad-cli changes need squad-sdk changes, or a user's app depends on squad):

Setup

Clone downstream repos as siblings to the main repo:

~/work/
  squad-pr/          # main repo
  squad-sdk/         # downstream dependency
  user-app/          # consumer project

Each repo gets its own issue branch following its own naming convention. If the downstream repo also uses Squad conventions, use squad/{issue-number}-{slug}.

Coordinated PRs

  • Create PRs in each repo independently
  • Link them in PR descriptions:
    Closes #42
    
    **Depends on:** squad-sdk PR #17 (squad-sdk changes required for this feature)
  • Merge order: dependencies first (e.g., squad-sdk), then dependents (e.g., squad-cli)

Local Linking for Testing

Before pushing, verify cross-repo changes work together:

bash
# Node.js / npm
cd ../squad-sdk && npm link
cd ../squad-pr && npm link squad-sdk

# Go
# Use replace directive in go.mod:
# replace github.com/org/squad-sdk => ../squad-sdk

# Python
cd ../squad-sdk && pip install -e .

Important: Remove local links before committing. npm link and go replace are dev-only — CI must use published packages or PR-specific refs.

Worktrees + Multi-Repo

These compose naturally. You can have:

  • Multiple worktrees in the main repo (parallel issues)
  • Separate clones for downstream repos
  • Each combination operates independently

Anti-Patterns

  • ❌ Branching from main (branch from dev)
  • ❌ PR targeting main directly (target dev)
  • ❌ Non-conforming branch names (must be squad/{number}-{slug})
  • ❌ Committing directly to main or dev (use PRs)
  • ❌ Switching branches in the main clone while worktrees are active (use worktrees instead)
  • ❌ Using worktrees for cross-repo work (use separate clones)
  • ❌ Leaving stale worktrees after PR merge (clean up immediately)

Promotion Pipeline

  • dev → insiders: Automated sync on green build
  • dev → main: Manual merge when ready for stable release, then tag
  • Hotfixes: Branch from main as hotfix/{slug}, PR to dev, cherry-pick to main if urgent

Frequently asked questions

What does the Git Workflow AI skill do?

Squad branching model: dev-first workflow with insiders preview channel

Why use Git Workflow on TypingMind?

Because you install it once and use it with any model. Git Workflow 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 Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bradygaster/squad/tree/dev/packages/squad-cli/templates/skills/git-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Git Workflow?

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 Workflow?

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

Is the Git Workflow AI skill free?

Yes. It is published on GitHub by bradygaster 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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