dispatching-parallel-agents

Dispatch independent debugging tasks to isolated agents for parallel failure resolution.

Updated May 13, 2026
One-click install
npx skills add https://github.com/kimprobably/maestro-os --skill dispatching-parallel-agents-kimprobably
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/kimprobably/maestro-os/tree/main/hermes/distribution/maestro-operator/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/kimprobably/maestro-os --skill dispatching-parallel-agents-kimprobably

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you reduce time-to-fix by running multiple independent investigations concurrently when you have several unrelated issues that waste time if handled sequentially.

Core Features & Use Cases

  • Agent isolation: Create each agent with only the context it needs so they do not inherit your session state or interfere with each other.
  • Independence-based dispatch: Group failures by independent problem domains and dispatch one agent per domain.
  • Scope-locked tasks: Provide clear constraints and expected outputs so agents stay focused and produce actionable summaries.
  • Safe integration: Review each agent’s results, check for conflicts, and run the full suite to confirm combined correctness.

Use case example: You have 3 failing test files caused by different subsystems (e.g., abort behavior, batch completion behavior, and a race condition). Dispatch three agents—one per file—to identify and fix each root cause in parallel without stepping on shared changes.

Quick Start

Tell your AI to dispatch one agent per independent failing test file, keep each agent’s instructions self-contained and scope-limited, then integrate their findings and verify with a full test run.

Frequently Asked Questions about dispatching-parallel-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug multiple unrelated test failures at the same time?

Debug multiple unrelated test failures concurrently by dispatching isolated agents to investigate each independent problem domain, reducing overall time-to-resolution compared to sequential debugging. Each agent receives only the context it needs to identify root causes without shared state.

What is the best way to fix race conditions and other independent subsystem failures in parallel?

Fixing race conditions and other independent subsystem failures in parallel requires grouping failures by problem domain and dispatching scope-locked agents. Each agent gets self-contained instructions with clear constraints to prevent interference and produce actionable summaries for safe integration.

Can I dispatch parallel agents to fix different failing test files simultaneously?

Yes, you can dispatch parallel agents to fix different failing test files by assigning one isolated agent per file. This works when failures stem from independent subsystems and can be understood without shared state or sequential dependencies.

How do I integrate code fixes from parallel debugging agents without conflicts?

Integrate fixes from parallel debugging agents by reviewing each agent's results, checking for conflicting edits, and running the full test suite to confirm combined correctness. This safe integration step ensures that scope-locked changes do not step on shared code.

When should I avoid parallel debugging for multiple test failures?

Avoid parallel debugging for multiple test failures when the problems share state or have sequential dependencies. If fixing one subsystem's root cause alters the context another agent needs, the failures are not independent and must be handled sequentially to prevent conflicting edits.