dispatching-parallel-agents

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

Updated Mar 2, 2026
One-click install
npx skills add https://github.com/LeroyAdonis/kitfix-2.0 --skill dispatching-parallel-agents-leroyadonis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/LeroyAdonis/kitfix-2.0/tree/main/.github/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/LeroyAdonis/kitfix-2.0 --skill dispatching-parallel-agents-leroyadonis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated failures sequentially wastes time when each problem domain is independent. This Skill provides a structured pattern for splitting failures into isolated scopes and dispatching one focused agent per domain so investigations run concurrently. ## 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. - Focused Agent Prompt Structure: Guidance for writing self-contained agent tasks with specific scope, constraints, and expected output summaries. - Review and Integration Workflow: Steps to verify agent results, detect conflicts, and run the full test suite after parallel fixes. - Use Case: After a refactoring leaves 6 failing tests across 3 files (abort logic, batch completion, race conditions), dispatch three agents in parallel, each fixing one file, then integrate all 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 only touch its assigned scope.

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 failing test names, error messages, and scope constraints. Each agent works concurrently, and you integrate their fixes afterward.

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.

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

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.

Why do parallel agent fixes sometimes conflict with each other?▼

Conflicts happen when agents share state, such as editing the same files or using the same resources. Prevent this by verifying domain independence before dispatch and reviewing each agent's summary for overlapping changes before integration.

What are the limitations of dispatching parallel debugging agents?▼

Parallel dispatch does not fit exploratory debugging where the root cause is unknown, related failures that share a common cause, or situations requiring full system context. In those cases, investigate sequentially with a single agent first.