dispatching-parallel-agents

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

Updated Apr 4, 2026
One-click install
npx skills add https://github.com/SleyiW/iWana-neXt --skill dispatching-parallel-agents-sleyiw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/SleyiW/iWana-neXt/tree/main/.agents/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/SleyiW/iWana-neXt --skill dispatching-parallel-agents-sleyiw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated failures sequentially wastes time when each problem domain is independent. This Skill coordinates one agent per independent failure domain so investigations run concurrently without interference. ## Core Features & Use Cases - Domain Identification: Groups failures by subsystem or test file to confirm they are truly independent before parallelizing. - Focused Agent Prompts: Provides a structure for writing self-contained agent tasks with specific scope, constraints, and expected output. - Integration Verification: Guides review of agent summaries, conflict checks, and full test suite runs after parallel work completes. - Use Case: After a refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch three agents in parallel, then integrate their independent fixes with zero conflicts. ## Quick Start Dispatch one agent per failing test file to fix the independent failures in parallel, then review each summary and run the full test suite.

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 covering scope, constraints, and expected output. After agents return, review summaries, check for conflicts, and run the full test suite.

What makes a good prompt for a parallel debugging agent?

A good agent prompt is focused on one problem domain, self-contained with 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.

When should I not dispatch parallel agents for debugging?

Avoid parallel dispatch when failures are related and fixing one might fix others, when understanding requires full system context, during exploratory debugging, or when agents would share state such as editing the same files.

How do I verify fixes from multiple parallel agents do not conflict?

Read each agent's summary, 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.

Why do parallel agents fail when tasks share state?

Agents working concurrently interfere when they edit the same files or use the same resources, causing conflicting changes. Parallel dispatch only works when each problem domain is fully independent.