subtask

Orchestrate parallel AI workers across isolated git worktrees to draft, run, and review tasks.

338|31|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/zippoxer/subtask --skill subtask
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: subtask
Source: https://github.com/zippoxer/subtask/tree/main/pkg/install
Command: npx skills add https://github.com/zippoxer/subtask --skill subtask

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Subtask helps teams coordinate parallel AI workers to draft, run, and manage tasks in isolated git worktrees, avoiding conflicts and enabling safe, concurrent work across projects.

Core Features & Use Cases

  • Task drafting & delegation: Break down user goals into tasks and assign work to workers or subagents.
  • Isolated workspaces: Each worker operates in its own git worktree to prevent interference.
  • Progress tracking & merging: Centralized status monitoring and controlled merging of results.
  • Workflow-driven collaboration: Supports plan/implement/review/ready stages and iterative reviews.

Quick Start

Draft your first task by telling Subtask to create a new task workflow.

Frequently Asked Questions about subtask

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

FAQPage Schema
How do I run parallel AI workers without file conflicts?

To run parallel AI workers without conflicts, assign each worker an isolated git worktree. This prevents interference by giving every subagent a separate workspace to draft and run tasks concurrently.

What is the best way to manage AI task workflows in isolated git worktrees?

Managing AI task workflows in isolated git worktrees involves drafting tasks, assigning workers, tracking progress, and staging merges. This workflow ensures safe, repeatable results across concurrent subagents.

Can I track AI worker progress and merge results safely?

Yes, you can track AI worker progress and merge results safely. Centralized status monitoring tracks each worker, while controlled staging and merging ensure quality and traceability across isolated worktrees.

Does coordinating AI workers support plan, implement, and review stages?

Coordinating AI workers supports plan, implement, review, and ready stages. This workflow-driven collaboration enables iterative reviews and controlled merging to maintain quality throughout the task lifecycle.

When should I use isolated workspaces for AI task delegation?

Use isolated workspaces for AI task delegation when breaking down user goals into concurrent subtasks. This approach prevents conflicts and enables safe, concurrent work across multiple projects.