dispatching-parallel-agents

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

Updated Jan 28, 2026
One-click install
npx skills add https://github.com/ttphats/project-detedxs26 --skill dispatching-parallel-agents-ttphats
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/ttphats/project-detedxs26/tree/main/.augment/skills/superpowers/dispatching-parallel-agents
Command: npx skills add https://github.com/ttphats/project-detedxs26 --skill dispatching-parallel-agents-ttphats

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated failures sequentially wastes time when each problem is independent. This Skill coordinates parallel agent dispatch so each failure domain gets a focused, isolated investigation that runs concurrently with the others. ## Core Features & Use Cases - Independent Domain Identification: Group failures by subsystem or test file to determine which investigations can run in parallel without shared state. - Focused Agent Prompts: Construct self-contained agent tasks with specific scope, constraints, and expected output so agents stay on target. - Review and Integration Workflow: Verify agent summaries, check for conflicting edits, and run the full test suite before merging 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 instead of sequentially. ## Quick Start Ask the agent to dispatch one parallel agent per failing test file, giving each a focused prompt with the error messages and a constraint not to touch unrelated code.

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 error messages, scope, and constraints. Each agent investigates concurrently, and you review and integrate their summaries afterward.

When should I dispatch parallel agents instead of investigating sequentially?▼

Use parallel dispatch when failures are independent, such as different test files or subsystems 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 delegated 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 unrelated 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, if their scopes overlap or they edit shared files. Prevent this by assigning strictly independent domains, then after agents return, review each summary, check for conflicting edits, and run the full test suite to verify integration.

When should I not use parallel agent dispatch?▼

Avoid it when failures are related, when understanding requires full system context, during exploratory debugging where the cause is unknown, or when agents would share state such as editing the same files or resources.