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SentioLabs
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worktrunk

Automate Git worktree management and AI agent lifecycles with coordinated hooks.

1|Updated Apr 4, 2026
Search Tags:#cli#hooks#ai-agents#shell-integration#git-worktree#worktrunk
One-click install
npx skills add https://github.com/SentioLabs/agent-nexus --skill worktrunk-sentiolabs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: worktrunk
Source: https://github.com/SentioLabs/agent-nexus/tree/main/codex-marketplace/plugins/worktrunk/skills/worktrunk
Command: npx skills add https://github.com/SentioLabs/agent-nexus --skill worktrunk-sentiolabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates and automates the management of multiple Git worktrees and AI agents, enabling parallel task execution with isolated environments.

Core Features & Use Cases

  • Isolated worktrees for concurrent agents
  • Coordinated hooks and shared caches to speed up workflows
  • Real-world use: run multiple agents on separate branches to accelerate prototyping and testing

Quick Start

Create a new worktree for a feature branch and launch its agent to begin parallel work.

Frequently Asked Questions about worktrunk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run multiple AI agents on separate branches without conflicts?▼

You can run multiple AI agents concurrently by using Git worktrees to create isolated working directories for each branch. This prevents file conflicts and allows parallel task execution across isolated environments.

What are Git worktrees and when do I need them for parallel development?▼

Git worktrees are linked working directories that allow a single repository to be checked out into multiple directories simultaneously. You need them when orchestrating multiple AI agents on separate tasks to ensure isolated environments.

How do I coordinate commit messages and testing across parallel AI agents?▼

You coordinate parallel AI agents by configuring standardized hooks for commit messaging and testing. These hooks interface with the agent lifecycle to automate and synchronize deployment workflows across isolated worktrees.

Can I use shell integration and shared caches to speed up AI agent workflows?▼

Yes, you can use shell integration alongside shared caches to speed up AI agent workflows. Shared caches allow isolated worktrees to reuse dependencies and data, reducing redundant processing across concurrent agents.

What is the best way to manage isolated worktrees and AI agent lifecycles?▼

The best way to manage isolated worktrees and AI agent lifecycles is through a standardized skill interface that automates worktree creation and coordinates hooks for safer, standardized lifecycle management across concurrent tasks.

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