dispatching-parallel-agents

Dispatch concurrent agents to investigate independent test failures across separate problem domains.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/NT-boop-star/BRMV-tract --skill dispatching-parallel-agents-nt-boop-star
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/NT-boop-star/BRMV-tract/tree/main/antigravity/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/NT-boop-star/BRMV-tract --skill dispatching-parallel-agents-nt-boop-star

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 guides you to split independent problems into focused agent tasks that run concurrently, each with isolated context. ## Core Features & Use Cases - Independent Domain Identification: Group failures by root cause and decide whether they can be worked on in parallel without shared state. - Focused Agent Prompts: Construct self-contained agent instructions with specific scope, constraints, and expected output so agents stay on task. - Parallel Dispatch and Integration: Launch one agent per problem domain, then review summaries, check for conflicts, and run the full test suite to integrate fixes. - Use Case: After a refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch 3 agents in parallel—each fixes its own file—and integrate all fixes with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the failing test names, error messages, and a constraint to fix only that file.

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 agent per domain with a focused prompt containing the failing test names, error messages, and constraints. After agents return, review each summary, check for conflicting edits, and run the full test suite.

When should I use parallel agents instead of sequential debugging?

Use parallel agents when failures are independent—different root causes, different files, no shared state—and each can be understood without context from the others. If fixing one failure might fix others, investigate them together first.

What makes a good agent prompt for fixing test failures?

A good agent 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 cause is unknown, or when agents would share state such as editing the same files or resources.

How do I verify fixes from multiple parallel agents don't conflict?

Read 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 results since agents can make systematic errors.