dispatching-parallel-agents

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

Updated Aug 3, 2026
One-click install
npx skills add https://github.com/Yvesdefaria/GymLab --skill dispatching-parallel-agents-yvesdefaria
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/Yvesdefaria/GymLab/tree/main/.opencode/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/Yvesdefaria/GymLab --skill dispatching-parallel-agents-yvesdefaria

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 by a single agent. - 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 three agents simultaneously—each fixing one file—then integrate the independent fixes into a green suite. ## Quick Start Ask the agent to dispatch one parallel subagent per failing test file, giving each a focused prompt with the failing test names, 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, constraints, and a required summary of root cause and fixes.

When should I use parallel agents instead of a single agent for debugging?

Use parallel agents when failures are independent—different test files, subsystems, or root causes with no shared state. If failures are related or fixing one might fix others, a single agent investigating them together is more effective.

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.

When should I not dispatch parallel agents?

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

How do I verify results after parallel agents finish their fixes?

Review each agent's summary to understand what changed, check whether agents edited the same code, run the full test suite to confirm all fixes work together, and spot-check changes since agents can make systematic errors.