dispatching-parallel-agents

Dispatches focused agents in parallel to investigate independent failures across separate problem domains.

1|Updated Oct 11, 2025
One-click install
npx skills add https://github.com/ibytechaos/claude --skill dispatching-parallel-agents-ibytechaos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/ibytechaos/claude/tree/main/plugins/superpowers/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/ibytechaos/claude --skill dispatching-parallel-agents-ibytechaos

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 handing them all to one agent dilutes focus. This Skill provides a structured pattern for splitting independent problems into isolated 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. - Agent Prompt Structure: A template for writing focused, self-contained agent prompts with specific scope, constraints, and expected output format. - Integration & 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 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 AI to dispatch one parallel agent per failing test file, giving each agent the specific 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 review and integrate their fixes afterward.

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

Use parallel agents when failures are independent, meaning fixing one will not affect the others and no shared state exists between investigations. If failures are related or require full system context, investigate them together with a single agent first.

What makes a good agent prompt for parallel task dispatch?

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

Can parallel agents conflict with each other when editing code?

Yes, agents can conflict if they edit the same files or share resources, which is why this approach requires independent problem domains. After agents return, review each summary, check for overlapping edits, and run the full test suite to verify integration.

When should I not dispatch parallel agents for debugging?

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 or the same files.