dispatching-parallel-agents

Dispatches concurrent subagents to investigate independent failures across separate problem domains.

3|Updated Sep 18, 2025
One-click install
npx skills add https://github.com/KingMichaelPark/dotfiles --skill dispatching-parallel-agents-kingmichaelpark
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/KingMichaelPark/dotfiles/tree/main/ai/.agents/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/KingMichaelPark/dotfiles --skill dispatching-parallel-agents-kingmichaelpark

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When multiple unrelated test failures or bugs appear across different files and subsystems, investigating them sequentially wastes time. This Skill provides a structured pattern for splitting independent problems into focused agent tasks that run concurrently. ## Core Features & Use Cases - Independence Assessment: A decision flowchart helps determine whether failures are truly independent and safe to parallelize, or related and better handled by a single agent. - Focused Agent Prompts: A proven prompt structure ensures each agent gets a specific scope, clear goal, constraints, and expected output format. - Parallel Dispatch Pattern: Guidance on issuing multiple subagent dispatches in one response so they execute concurrently rather than sequentially. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch three agents in parallel—one per file—then review summaries, check for conflicts, and run the full suite to integrate all fixes. ## Quick Start Dispatch one subagent per failing test file to investigate and fix each independent failure in parallel, then review their summaries and run the full test suite.

Frequently Asked Questions about dispatching-parallel-agents

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

FAQPage Schema
How do I run multiple AI agents in parallel to fix tests?

Issue all subagent dispatch calls in the same response so they execute concurrently. Give each agent one focused problem domain, such as a single failing test file, with a clear goal and constraints.

When should I use parallel agents instead of one agent?

Use parallel agents when failures are independent, such as different test files with different root causes and no shared state. If fixing one failure might fix others, investigate them together with a single agent first.

How do I write a good prompt for a debugging subagent?

Include the specific failing test names and error messages, a clear goal, explicit constraints like not changing production code, and the expected output format. Vague prompts like fix the tests cause agents to lose focus.

When should I not dispatch parallel agents?

Avoid parallel dispatch when failures are related, when understanding requires full system context, during exploratory debugging, or when agents would share state such as editing the same files or resources.

How do I integrate changes from multiple parallel agents?

Read each agent's summary, verify the fixes do not edit the same code, run the full test suite to confirm everything works together, and spot check results since agents can make systematic errors.