dispatching-parallel-agents

Dispatch concurrent agents to investigate independent test failures and bugs in parallel.

Updated Jan 12, 2025
One-click install
npx skills add https://github.com/rinbarpen/NeuroTrain --skill dispatching-parallel-agents-rinbarpen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/rinbarpen/NeuroTrain/tree/main/.cursor/commands/dispatching-parallel-agents
Command: npx skills add https://github.com/rinbarpen/NeuroTrain --skill dispatching-parallel-agents-rinbarpen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated failures sequentially wastes time when each problem domain is independent. This Skill provides a structured pattern for splitting independent failures across concurrent agents so multiple investigations complete simultaneously. ## 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 sequentially. - Focused Agent Prompts: A proven prompt structure gives each agent a specific scope, clear goal, constraints, and expected output format. - Integration Workflow: Guidance for reviewing agent summaries, checking for conflicting edits, and verifying the full test suite after parallel fixes. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file so all three investigations finish concurrently 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 its assigned 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. Each agent investigates concurrently, and you integrate their fixes after reviewing summaries.

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

Use parallel agents when failures are independent, such as different test files or subsystems with no shared state. Avoid parallel dispatch when failures are related, when understanding requires full system context, or when agents would edit the same files.

What makes a good prompt for a debugging agent?▼

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 unrelated code, and specific about the expected output such as a summary of root cause and fixes.

How do I avoid conflicts when multiple agents edit code concurrently?▼

Assign each agent a non-overlapping scope such as a single test file or subsystem, and state explicit constraints against touching other code. After agents return, review each summary, check for overlapping edits, and run the full test suite to verify integration.

What are the limitations of parallel agent dispatch for debugging?▼

Parallel dispatch fails when failures share root causes, when agents need full system context, or during exploratory debugging where the broken area is unknown. Agents can also make systematic errors, so spot-check their changes after integration.