dispatching-parallel-agents

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

92|12|Updated Dec 21, 2025
One-click install
npx skills add https://github.com/ARounder-183/HiFiShifter --skill dispatching-parallel-agents-arounder-183
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/ARounder-183/HiFiShifter/tree/main/.github/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/ARounder-183/HiFiShifter --skill dispatching-parallel-agents-arounder-183

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 Decision Framework: 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 Prompt Structure: Guidance on writing self-contained agent prompts with specific scope, constraints, and expected output so agents stay on task. - Integration and Verification Workflow: Steps for reviewing agent summaries, checking for conflicting edits, and running the full test suite after parallel fixes. - Use Case: After a major refactoring leaves 6 failing tests across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file, then integrate the three independent fixes with zero conflicts. ## Quick Start Ask the assistant to dispatch one parallel agent per failing test file, giving each agent the 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 test names, error messages, and constraints. Each agent works concurrently, and you integrate their fixes afterward.

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

Use parallel agents when failures are independent, such as different test files or subsystems with no shared state. If failures are related or require full system context, a single sequential investigation is more effective.

What makes a good prompt for a parallel 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 summary.

Can parallel agents conflict with each other when editing code?

Yes, if agents share state or edit the same files they can interfere. The pattern requires verifying domains are independent before dispatch and reviewing all summaries for conflicting changes before integration.

What are the limitations of dispatching parallel agents for debugging?

It does not fit related failures where one fix resolves others, exploratory debugging where the cause is unknown, or situations needing full system context. Agents can also make systematic errors, so spot-check their fixes.