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dispatching-parallel-agents

Dispatches multiple subagents concurrently to investigate independent failures across separate problem domains.

Updated Sep 16, 2022

Search Tags:#debugging #parallel agents #test failures #ai workflow #task delegation #concurrent investigation #subagent dispatch

Ready to run

npx skills add https://github.com/ryuya-matsunawa/dotfiles --skill dispatching-parallel-agents-ryuya-matsunawa

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/ryuya-matsunawa/dotfiles/tree/main/agents/.agents/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/ryuya-matsunawa/dotfiles --skill dispatching-parallel-agents-ryuya-matsunawa

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 subagent so investigations run in parallel without shared state or context pollution. ## Core Features & Use Cases - Independent Domain Identification: Group failures by root cause (e.g., abort logic vs. batch completion vs. race conditions) to decide whether parallel dispatch is appropriate. - Focused Agent Prompts: Construct self-contained agent instructions with specific scope, constraints, and expected output so agents stay on task. - Parallel Dispatch Pattern: Issue multiple subagent dispatches in a single response so they execute concurrently, then review and integrate results. - Use Case: After a major refactoring leaves 6 test failures across 3 files, dispatch one agent per test file, receive three independent fixes, verify no conflicts, and run the full suite green. ## Quick Start Ask the AI to dispatch one subagent per failing test file so all independent failures are investigated and fixed in parallel.

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 root cause, then dispatch one subagent per problem domain in a single response so they run concurrently. Each agent gets a focused prompt with the failing test names, error messages, constraints, and an expected summary of findings.

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

Use parallel dispatch when failures are independent, such as different test files or subsystems with no shared state. Avoid it when failures are related, when understanding requires full system context, or when agents would edit the same files.

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 fixes.

Can parallel agents conflict with each other when editing code?▼

Yes, if agents share state or edit the same files their changes can conflict. The pattern requires independent domains, and after agents return you should review summaries, check for overlapping edits, and run the full test suite to verify integration.

Why do parallel agent dispatches need to be in one response?▼

Multiple dispatch calls issued in the same response execute concurrently, while dispatches sent one per response run sequentially. Batching them in a single response is what enables true parallel execution and time savings.