dispatching-parallel-agents

Dispatch concurrent subagents to fix independent test failures across separate problem domains.

Updated Oct 16, 2025
One-click install
npx skills add https://github.com/hugotown/dotfiles --skill dispatching-parallel-agents-hugotown
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/hugotown/dotfiles/tree/main/agents/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/hugotown/dotfiles --skill dispatching-parallel-agents-hugotown

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 and bloats your working context. This Skill provides a structured pattern for delegating each independent problem domain to a focused subagent that works in parallel with isolated context. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and criteria help you determine whether failures are truly independent and safe to parallelize, or related and better handled sequentially. - Focused Agent Prompts: A proven prompt structure ensures each subagent gets a specific scope, clear goal, explicit constraints, and a defined output format. - Parallel Dispatch Pattern: Issuing multiple subagent dispatches in a single response runs them concurrently, with guidance on reviewing summaries, detecting conflicts, and running the full test suite afterward. - Use Case: After a major refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch one agent per file, then integrate the independent fixes into a green suite. ## Quick Start Ask the AI to dispatch one parallel subagent per failing test file, each with a focused prompt containing the failure details, constraints, and a required summary of root cause and fixes.

Frequently Asked Questions about dispatching-parallel-agents

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

FAQPage Schema
How do I fix multiple failing tests in parallel with AI agents?▼

Group failures by independent problem domain, then dispatch one subagent per domain in the same response so they run concurrently. Give each agent a focused prompt with the failing test names, error messages, constraints, and a required summary of root cause and fixes.

When should I use parallel subagents instead of sequential debugging?▼

Use parallel dispatch when failures are independent, such as different test files or subsystems with no shared state. Avoid it when failures are related, when fixes might overlap, or when understanding the problem requires full system context.

What makes a good subagent prompt for fixing test failures?▼

A good prompt is focused on one problem domain, self-contained with pasted error messages and test names, explicit about constraints like not changing production code, and specific about the expected output such as a summary of root cause and changes.

Can parallel agents conflict when editing the same codebase?▼

Yes, conflicts occur when agents share state or edit the same files. Prevent this by assigning strictly separate scopes per agent, then after they return, review each summary, check for overlapping edits, and run the full test suite to verify integration.

Why do broad agent prompts like fix all the tests fail?▼

Broad prompts give the agent no clear scope, so it loses focus and may refactor unrelated code. Narrow prompts targeting a single test file with concrete failure details produce reliable, verifiable fixes.