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git-worktree-manager — Claude Code skill: what it does, how to install

Runs parallel feature branches with Git worktrees, non-conflicting port maps, and synced environment files. Useful when several agents work simultaneously in one repo.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin marketplace add alirezarezvani/claude-skills
/plugin install engineering-advanced-skills@claude-code-skills
Open on GitHub

What git-worktree-manager does

This skill automates Git worktree creation for concurrent feature development. It provisions separate working directories, syncs .env files from the main repository, and allocates offset ports so local servers run without collision. The script stores all port assignments inside .worktree-ports.json.

Under the hood, Python scripts scripts/worktree_manager.py and scripts/worktree_cleanup.py handle worktree lifecycle operations. Python is required. The cleanup script checks branch merge status and inspects uncommitted changes before deletion, preventing accidental work loss.

Adopt this skill when multiple agents or terminal sessions need to touch different branches at the same time. If you only need a fast diff review on your current branch, regular Git is sufficient.

What it helps with

  • isolate feature branches across parallel agent sessions
  • assign non-conflicting local ports per worktree
  • copy .env configuration files to newly created worktrees
  • clean up merged worktrees safely without losing dirty uncommitted files

Example prompts for the agent

  • Create a new worktree for branch feature/new-auth and allocate unique ports
  • Run worktree_cleanup.py to detect merged and stale worktrees
  • Set up an isolated worktree for an urgent hotfix branch

How to install git-worktree-manager

1Plugin marketplace

/plugin marketplace add alirezarezvani/claude-skills
/plugin install engineering-advanced-skills@claude-code-skills

This installs the whole engineering-advanced-skills plugin with all its skills

2Skills CLI (Vercel)

npx skills add alirezarezvani/claude-skills --skill git-worktree-manager -a claude-code

3Manually: put the files in place

~/.claude/skills/git-worktree-manager/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/git-worktree-manager/

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Questions about git-worktree-manager

How to install git-worktree-manager in Claude Code?

Run /plugin marketplace add alirezarezvani/claude-skills in Claude Code or install it using npx skills add alirezarezvani/claude-skills --skill git-worktree-manager -a claude-code.

What does git-worktree-manager do?

It standardizes Git worktree setup with isolated directories, allocated local ports, and copied environment files. Each worktree behaves as an independent local instance.

What dependencies are needed to run the management scripts?

You need Python to execute scripts/worktree_manager.py and scripts/worktree_cleanup.py. The scripts accept CLI flags or piped JSON input.

Source text

SKILL.md · MIT
---
name: "git-worktree-manager"
description: "Run parallel feature work safely with Git worktrees. Standardizes branch isolation, port allocation, environment sync, and cleanup so each worktree behaves like an independent local app. Optimized for multi-agent workflows where each agent or terminal session owns one worktree. Use when running multiple feature branches simultaneously, isolating experimental work, or coordinating multi-agent development across the same repo."
---

# Git Worktree Manager

**Tier:** POWERFUL  
**Category:** Engineering  
**Domain:** Parallel Development & Branch Isolation

## Overview

Use this skill to run parallel feature work safely with Git worktrees. It standardizes branch isolation, port allocation, environment sync, and cleanup so each worktree behaves like an independent local app without stepping on another branch.

This skill is optimized for multi-agent workflows where each agent or terminal session owns one worktree.

## Core Capabilities

- Create worktrees from new or existing branches with deterministic naming
- Auto-allocate non-conflicting ports per worktree and persist assignments
- Copy local environment files (`.env*`) from main repo to new worktree
- Optionally install dependencies based on lockfile detection
- Detect stale worktrees and uncommitted changes before cleanup
- Identify merged branches and safely remove outdated worktrees

## When to Use

- You need 2+ concurrent branches open locally
- You want isolated dev servers for feature, hotfix, and PR validation
- You are working with multiple agents that must not share a branch
- Your current branch is blocked but you need to ship a quick fix now
- You want repeatable cleanup instead of ad-hoc `rm -rf` operations

## Key Workflows

### 1. Create a Fully-Prepared Worktree

1. Pick a branch name and worktree name.
2. Run the manager script (creates branch if missing).
3. Review generated port map.
4. Start app using allocated ports.

```bash
python scripts/worktree_manager.py \
  --repo . \
  --branch feature/new-auth \
  --name wt-auth \
  --base-branch main \
  --install-deps \
  --format text
```

If you use JSON automation input:

```bash
cat config.json | python scripts/worktree_manager.py --format json
# or
python scripts/worktree_manager.py --input config.json --format json
```

### 2. Run Parallel Sessions

Recommended convention:

- Main repo: integration branch (`main`/`develop`) on default port
- Worktree A: feature branch + offset ports
- Worktree B: hotfix branch + next offset

Each worktree contains `.worktree-ports.json` with assigned ports.

### 3. Cleanup with Safety Checks

1. Scan all worktrees and stale age.
2. Inspect dirty trees and branch merge status.
3. Remove only merged + clean worktrees, or force explicitly.

```bash
python scripts/worktree_cleanup.py --repo . --stale-days 14 --format text
python scripts/worktree_cleanup.py --repo . --remove-merged --format text
```

### 4. Docker Compose Pattern

Use per-worktree override files mapped from allocated ports. The script outputs a deterministic port map; apply it to `docker-compose.worktree.yml`.

See [docker-compose-patterns.md](references/docker-compose-patterns.md) for concrete templates.

### 5. Port Allocation Strategy

Default strategy is `base + (index * stride)` with collision checks:

- App: `3000`
- Postgres: `5432`
- Redis: `6379`
- Stride: `10`

See [port-allocation-strategy.md](references/port-allocation-strategy.md) for the full strategy and edge cases.

## Script Interfaces

- `python scripts/worktree_manager.py --help`
  - Create/list worktrees
  - Allocate/persist ports
  - Copy `.env*` files
  - Optional dependency installation
- `python scripts/worktree_cleanup.py --help`
  - Stale detection by age
  - Dirty-state detection
  - Merged-branch detection
  - Optional safe removal

Both tools support stdin JSON and `--input` file mode for automation pipelines.

## Common Pitfalls

1. Creating worktrees inside the main repo directory
2. Reusing `localhost:3000` across all branches
3. Sharing one database URL across isolated feature branches
4. Removing a worktree with uncommitted changes
5. Forgetting to prune old metadata after branch deletion
6. Assuming merged status without checking against the target branch

## Best Practices

1. One branch per worktree, one agent per worktree.
2. Keep worktrees short-lived; remove after merge.
3. Use a deterministic naming pattern (`wt-<topic>`).
4. Persist port mappings in file, not memory or terminal notes.
5. Run cleanup scan weekly in active repos.
6. Use `--format json` for machine flows and `--format text` for human review.
7. Never force-remove dirty worktrees unless changes are intentionally discarded.

## Validation Checklist

Before claiming setup complete:

1. `git worktree list` shows expected path + branch.
2. `.worktree-ports.json` exists and contains unique ports.
3. `.env` files copied successfully (if present in source repo).
4. Dependency install command exits with code `0` (if enabled).
5. Cleanup scan reports no unintended stale dirty trees.

## References

- [port-allocation-strategy.md](references/port-allocation-strategy.md)
- [docker-compose-patterns.md](references/docker-compose-patterns.md)
- [README.md](README.md) for quick start and installation details

## Decision Matrix

Use this quick selector before creating a new worktree:

- Need isolated dependencies and server ports -> create a new worktree
- Need only a quick local diff review -> stay on current tree
- Need hotfix while feature branch is dirty -> create dedicated hotfix worktree
- Need ephemeral reproduction branch for bug triage -> create temporary worktree and cleanup same day

## Operational Checklist

### Before Creation

1. Confirm main repo has clean baseline or intentional WIP commits.
2. Confirm target branch naming convention.
3. Confirm required base branch exists (`main`/`develop`).
4. Confirm no reserved local ports are already occupied by non-repo services.

### After Creation

1. Verify `git status` branch matches expected branch.
2. Verify `.worktree-ports.json` exists.
3. Verify app boots on allocated app port.
4. Verify DB and cache endpoints target isolated ports.

### Before Removal

1. Verify branch has upstream and is merged when intended.
2. Verify no uncommitted files remain.
3. Verify no running containers/processes depend on this worktree path.

## CI and Team Integration

- Use worktree path naming that maps to task ID (`wt-1234-auth`).
- Include the worktree path in terminal title to avoid wrong-window commits.
- In automated setups, persist creation metadata in CI artifacts/logs.
- Trigger cleanup report in scheduled jobs and post summary to team channel.

## Failure Recovery

- If `git worktree add` fails due to existing path: inspect path, do not overwrite.
- If dependency install fails: keep worktree created, mark status and continue manual recovery.
- If env copy fails: continue with warning and explicit missing file list.
- If port allocation collides with external service: rerun with adjusted base ports.

© Alireza Rezvani · MIT · alirezarezvani/claude-skills

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