dispatching-parallel-agents

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

Updated Aug 5, 2026
One-click install
npx skills add https://github.com/pd-phuc/laravel-template --skill dispatching-parallel-agents-pd-phuc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/pd-phuc/laravel-template/tree/main/.claude/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/pd-phuc/laravel-template --skill dispatching-parallel-agents-pd-phuc

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 and bloats your working context. This Skill provides a structured pattern for splitting independent problems into focused agent tasks that run concurrently. ## 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 by a single agent. - Focused Agent Prompts: A proven prompt structure ensures each agent gets a specific scope, clear goal, explicit constraints, and a defined output format. - Integration Workflow: Guidance for reviewing agent summaries, checking for conflicting edits, and verifying fixes with a full test suite run. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch three agents in parallel—one per file—and integrate their independent fixes with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file so each independent failure is investigated and fixed concurrently.

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, constraints, and expected output. After agents return, review summaries, check for conflicting edits, and run the full test suite.

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

Use parallel agents when failures are independent—different root causes in different subsystems with no shared state. If fixing one failure might fix others, or understanding requires full system context, a single sequential investigation is more effective.

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 such as not changing production code, and specific about the expected output like a summary of root cause and changes.

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

Yes, conflicts occur when agents share state or edit the same files. Avoid this by assigning strictly independent domains, and after dispatch verify that agents did not modify overlapping code before integrating their changes.

What are the limitations of dispatching parallel agents for debugging?▼

Parallel dispatch is unsuitable for related failures, exploratory debugging where the problem is unknown, tasks requiring full system context, or work involving shared resources. In those cases agents interfere with each other or duplicate investigation effort.