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git-worktree-managergit 工作树管理器

Agent Skill

git-worktree-manager 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

13,547

周安装

548

GitHub Stars

公开资料未说明

下载量

4,252
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:git-worktree-manager(git 工作树管理器)
来源仓库:https://github.com/alirezarezvani/git-worktree-manager
安装命令:
openclaw skills install git-worktree-manager
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install git-worktree-manager

简介

管理 Git 工作树,支持多目录并行开发同一项目。

  • 适用于功能开发、热修复和实验性变更共存场景。
  • 允许在不切换分支的情况下独立操作不同工作区。
  • 需定期清理未使用的工作树避免资源浪费。git-worktree-manager 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 建议在 .git/config 中配置别名简化常用操作命令。

SKILL.md

name
git-worktree-manager
description
Git Worktree Manager

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  • Identify merged branches and safely remove outdated worktrees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.
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:

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.
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 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 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

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.02%
按下载量换算3,998

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install git-worktree-manager 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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