spawn

Route concrete tasks into execution topologies with subagents, teams, or codex.

Updated Mar 6, 2026
One-click install
npx skills add https://github.com/CopeeeTang/copeee-skills --skill spawn-copeeetang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spawn
Source: https://github.com/CopeeeTang/copeee-skills/tree/main/skills/spawn
Command: npx skills add https://github.com/CopeeeTang/copeee-skills --skill spawn-copeeetang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When a task could be decomposed into multiple subtasks, it often gets executed serially, wasting time and preventing faster parallel progress.

Core Features & Use Cases

  • Execution-mode routing: Analyzes dependencies and task traits to choose the best topology (Background Subagents, Agent Teams, Task Todo, or Codex external delegation).
  • User confirmation before dispatch: Uses an interactive confirmation step to present the decomposed subtask plan and recommended modes.
  • Collision-aware delegation: Applies guidance for avoiding overlapping edits and choosing safer orchestration patterns, especially when validation loops are needed.

Quick Start

Use spawn to decompose and delegate your work: run /spawn with your concrete task and expected deliverables so the skill proposes subtasks, selects execution modes, and dispatches them for parallel progress.

Frequently Asked Questions about spawn

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

FAQPage Schema
How do I route engineering tasks into parallel execution modes?

To route engineering tasks into parallel execution modes, you provide a concrete task and expected deliverables. The system analyzes dependencies and decomposition to select the best topology, such as background subagents or agent teams, for parallel progress.

What is the best way to decompose multi-part engineering work for parallel progress?

Decomposing multi-part engineering work for parallel progress involves analyzing task traits and dependencies to choose an execution topology. The system proposes subtasks and applies collision-aware delegation to prevent overlapping edits during multi-agent development.

How does collision-aware delegation work for coordinated multi-agent development?

Collision-aware delegation for coordinated multi-agent development works by applying guidance that prevents overlapping edits. It analyzes task dependencies to choose safer orchestration patterns, ensuring parallel subagent execution does not conflict during code edits.

Can I use subagents and task todo tracking for batch code edits and code review?

Yes, you can use subagents and task todo tracking for delegated code review and batch code edits. The system routes these multi-part tasks into appropriate execution topologies, utilizing validation loops to ensure quality before completing the workflow.

Do I need to confirm the execution topology before subtasks are dispatched?

Yes, you need to confirm the execution topology before subtasks are dispatched. The system uses an interactive confirmation step to present the decomposed subtask plan and recommended modes, ensuring user approval before parallel delegation begins.