dispatching-parallel-agents

Dispatch concurrent subagents to fix independent test failures across separate problem domains.

1|Updated Jan 4, 2026
One-click install
npx skills add https://github.com/stefaniuk/loadout --skill dispatching-parallel-agents-stefaniuk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/stefaniuk/loadout/tree/main/.github/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/stefaniuk/loadout --skill dispatching-parallel-agents-stefaniuk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated test failures or broken subsystems one at a time wastes time. This Skill coordinates parallel subagent dispatch so each independent problem domain is investigated and fixed concurrently, while keeping your own context free for coordination. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and explicit criteria help you determine whether failures are independent enough for parallel dispatch or require sequential investigation. - Focused Agent Prompts: Guidance for writing self-contained agent prompts with specific scope, constraints, and expected output so agents stay on task. - Parallel Dispatch Pattern: Instructions for issuing multiple subagent dispatches in a single response so they run concurrently, plus a review-and-integrate checklist for merging results. - Use Case: After a major refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch one agent per file, then verify the fixes don't conflict and run the full suite. ## Quick Start Ask the AI to dispatch one parallel subagent per failing test file to investigate and fix each independent failure, then review and integrate the results.

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 subagent per domain in the same response so they run concurrently. Each agent prompt should specify the exact test file, the failing tests, constraints, and the expected summary output.

When should I use parallel agents instead of sequential debugging?▼

Use parallel dispatch when failures are independent, such as different test files with different root causes and no shared state. Avoid it when failures are related, when you need full system context, or when agents would edit the same files.

How do I write a good prompt for a delegated debugging agent?▼

Make the prompt focused on one problem domain, self-contained with pasted error messages and test names, explicit about constraints like not changing production code, and specific about the expected output such as a summary of root cause and fixes.

What are common mistakes when dispatching parallel agents?▼

Common mistakes include overly broad scopes like fixing all tests, missing context such as error messages, absent constraints that let agents refactor unrelated code, and vague output requirements. Each of these causes agents to lose focus or produce unverifiable changes.

How do I integrate results from multiple parallel agents safely?▼

Review each agent's summary, check whether agents edited the same code, run the full test suite to confirm fixes work together, and spot-check changes since agents can make systematic errors.