dispatching-parallel-agents

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

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/Pgooone/oh-pgone-claudecode --skill dispatching-parallel-agents-pgooone
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/Pgooone/oh-pgone-claudecode/tree/main/.claude/plugins/cache/superpowers-marketplace/superpowers/5.0.6/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/Pgooone/oh-pgone-claudecode --skill dispatching-parallel-agents-pgooone

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 a single agent loses focus juggling unrelated contexts. 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 and explicit criteria for determining when failures are independent enough to parallelize versus when they share root causes. - Focused Agent Prompt Structure: Guidance for writing self-contained agent prompts with specific scope, constraints, and expected output summaries. - 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 refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file so all three investigations complete concurrently, then integrate the non-conflicting fixes. ## Quick Start Ask the assistant to dispatch one parallel agent per failing test file, giving each agent the specific test names, error messages, and constraints for its domain.

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 a single agent for debugging?▼

Use parallel agents when failures are independent, such as different test files with different root causes, and no shared state exists between investigations. Avoid parallel dispatch when failures are related, since fixing one may fix others.

What makes a good agent prompt for parallel debugging tasks?▼

A good prompt is focused on one problem domain, self-contained with all needed context like error messages and test names, explicit about constraints such as not changing production code, and specific about the expected output summary.

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

Yes, agents can conflict if they edit the same files or share resources. Prevent this by assigning strictly independent domains, and after they return, review each summary, check for overlapping edits, and run the full test suite.

When should I not dispatch parallel agents for test failures?▼

Avoid parallel dispatch when failures share root causes, when understanding requires full system context, during exploratory debugging where the problem is unknown, or when agents would interfere through shared state.