dispatching-parallel-agents

Dispatches independent subagents in parallel to investigate and fix unrelated test failures.

Updated Feb 20, 2026
One-click install
npx skills add https://github.com/gtbauke/bj-utils --skill dispatching-parallel-agents-gtbauke
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/gtbauke/bj-utils/tree/main/.agent/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/gtbauke/bj-utils --skill dispatching-parallel-agents-gtbauke

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 concurrently with isolated context. ## Core Features & Use Cases - Independence Decision Framework: A decision flowchart and criteria to determine whether failures are independent enough for parallel dispatch or require sequential investigation. - Agent Prompt Structure: A template for writing focused, self-contained agent prompts with specific scope, constraints, and expected output format. - Review and Integration Workflow: Steps to verify agent summaries, detect conflicting edits, and run the full test suite after parallel fixes. - Use Case: After a major refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch three agents in parallel—one per file—then integrate their independent fixes with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the failing test names, error messages, and a constraint to fix only that 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 subagent per domain with a focused prompt containing the failing test names, error messages, and constraints. Each agent works concurrently with isolated context, and you integrate their fixes afterward.

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

Use parallel dispatch when you have two or more independent failures with different root causes, no shared state, and no sequential dependencies. If failures are related or require full system context, investigate them together first.

What makes a good subagent prompt for fixing test failures?▼

A good agent prompt is focused on one problem domain, self-contained with all needed context like error messages and test names, and specific about constraints and expected output. Avoid vague instructions like "fix the tests" that let agents wander.

When should I not use parallel agent dispatch?▼

Avoid parallel dispatch when failures are related and fixing one might fix others, when understanding requires full system state, during exploratory debugging, or when agents would interfere by editing the same files or sharing resources.

How do I verify fixes from multiple parallel agents don't conflict?▼

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