dispatching-parallel-agents

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

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/chhpt/skills --skill dispatching-parallel-agents-chhpt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/chhpt/skills/tree/main/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/chhpt/skills --skill dispatching-parallel-agents-chhpt

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. This Skill provides a structured pattern for delegating each independent problem domain to a focused agent so investigations run concurrently without interference. ## Core Features & Use Cases - Independence Assessment: A decision flowchart helps determine whether failures are truly independent and safe to parallelize, or related and better handled by a single agent. - Agent Prompt Structure: Guidance for writing focused, self-contained agent prompts with specific scope, constraints, and expected output summaries. - Integration & Verification: Steps to review agent summaries, check for conflicting edits, and run the full test suite after parallel fixes. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per 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 return a summary of root cause and fixes.

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 constraints. Each agent works concurrently, and you integrate their fixes afterward.

What makes a good prompt for a delegated debugging agent?

A good agent prompt is focused on one problem domain, self-contained with all needed context like error messages, and specific about constraints and expected output. Tell the agent exactly what to fix and to return a summary of root cause and changes.

When should I not dispatch parallel agents for debugging?

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

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.

Why do parallel agents fail when tasks share state?

Agents run with isolated context and no coordination, so shared files or resources cause interference and conflicting edits. Only dispatch in parallel when each problem domain can be understood and fixed independently.