dispatching-parallel-agents

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

1|Updated Sep 10, 2026
One-click install
npx skills add https://github.com/thienty1207/Hotel_Staff --skill dispatching-parallel-agents-thienty1207
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/thienty1207/Hotel_Staff/tree/main/.baron/core/skills/superpowers/dispatching-parallel-agents
Command: npx skills add https://github.com/thienty1207/Hotel_Staff --skill dispatching-parallel-agents-thienty1207

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 delegating each independent problem domain to a focused subagent that works in parallel with isolated context. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and explicit criteria help you determine whether failures are truly independent or share root causes before dispatching agents. - Parallel Dispatch Pattern: Issue multiple subagent dispatches in a single response so they execute concurrently, one agent per problem domain. - Agent Prompt Structure: Guidance for writing focused, self-contained agent prompts with specific scope, constraints, and expected output summaries. - Use Case: After a major refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch three agents simultaneously, then review their summaries, check for conflicts, and run the full suite to integrate the fixes. ## Quick Start Ask the AI to dispatch one parallel subagent per failing test file, each with a focused prompt containing the failure details and a constraint to not 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 subagent per domain in the same response so they run concurrently. Give each agent a focused prompt with the failing test names, error messages, constraints, and a request for a summary of root cause and fixes.

When should I use parallel agents instead of sequential debugging?

Use parallel agents when failures are independent, such as different test files or subsystems with no shared state. Avoid parallel dispatch when failures are related, when fixing one might fix others, or when agents would edit the same files and interfere.

What makes a good subagent prompt for fixing test failures?

A good prompt is 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 changes made.

Why do parallel agents sometimes produce conflicting changes?

Conflicts happen when problem domains are not truly independent and agents edit the same code. After agents return, review each summary, check whether they touched overlapping files, run the full test suite, and spot-check for systematic errors before integrating.

What are the limitations of dispatching parallel agents?

Parallel dispatch does not fit exploratory debugging where the root cause is unknown, related failures sharing a cause, or tasks requiring full system context. Agents also never inherit your session history, so you must construct all needed context in each prompt.