dispatching-parallel-agents

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

1|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/Emmanuel-R8/aikos --skill dispatching-parallel-agents-emmanuel-r8
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/Emmanuel-R8/aikos/tree/main/.cursor/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/Emmanuel-R8/aikos --skill dispatching-parallel-agents-emmanuel-r8

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 scopes and dispatch one agent per domain so investigations run concurrently. ## Core Features & Use Cases - Independence Decision Framework: A decision flowchart and criteria to determine whether failures are independent enough for parallel dispatch or require sequential investigation. - Agent Prompt Structure: Templates for writing focused, self-contained agent tasks with clear scope, constraints, and expected output summaries. - Integration & Verification Workflow: Steps to review agent summaries, detect conflicting edits, and run the full test suite after parallel fixes. - Use Case: After a major refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch three agents in parallel—each fixing one file—then integrate the independent fixes with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the specific test names, error messages, and constraints for its scope.

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 review and integrate their summaries afterward.

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

Use parallel agents when failures are independent—different test files, subsystems, or root causes with no shared state. If fixing one failure might fix others, or agents would edit the same files, investigate sequentially instead.

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 production code, and specific about the expected output summary.

Can parallel agents conflict with each other when fixing code?▼

Yes, if agents share state or edit the same files their changes can conflict. Prevent this by assigning strictly independent scopes, then after completion review each summary, check for overlapping edits, and run the full test suite.

When should I not dispatch parallel agents for debugging?▼

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 interfere through shared files or resources.