Dispatching Parallel Agents

Dispatch parallel agents to investigate independent failures across files or subsystems.

Updated Nov 5, 2025

Search Tags:#debugging #concurrency #agents #parallelism #task-distribution

Ready to run

npx skills add https://github.com/mikeyobrien/ghclip --skill dispatching-parallel-agents-mikeyobrien

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Dispatching Parallel Agents
Source: https://github.com/mikeyobrien/ghclip/tree/main/.claude/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/mikeyobrien/ghclip --skill dispatching-parallel-agents-mikeyobrien

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When you have multiple independent failures, investigating sequentially wastes time. Dispatch one agent per independent problem domain and run them concurrently.

The Pattern

Identify Independent Domains
Create Focused Agent Tasks
Dispatch in Parallel
Review and Integrate

Agent Prompt Structure

Provide a detailed, focused, self-contained prompt template that instructs the agent to fix a specific file.

Common Mistakes

Too broad: "Fix all tests"
Not providing constraints
Not providing explicit output structure

Quick Start

Example: Fix the 3 failing tests in src/agents/agent-tool-abort.test.ts, etc. Return: Summary of root cause and changes.

Frequently Asked Questions about Dispatching Parallel Agents

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

FAQPage Schema

How do I run multiple debugging tasks in parallel to investigate independent failures?▼

Dispatch parallel agents by identifying independent problem domains—one agent per domain—and execute them concurrently with no shared state. Each agent focuses on a single failure, producing concise summaries that you integrate after completion, significantly reducing investigation time.

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

Use parallel agents when you have multiple independent failures across different files or subsystems. Sequential debugging wastes time; parallel dispatch lets each agent focus on its own domain simultaneously, cutting total investigation time and keeping scope tightly constrained.

What constraints should I apply when creating parallel agent tasks?▼

Each agent task must be focused and self-contained with explicit constraints: specify the exact file or subsystem, define the expected output structure, provide detailed context without overlap, and avoid broad directives like 'fix all tests.' Constraints prevent agents from conflicting and ensure independent execution.

How do I structure prompts for agents investigating independent failures?▼

Provide a detailed, self-contained prompt template for each agent that specifies the file to investigate, the exact failures to address, constraints on scope, and required output format. Each prompt should be independent—agents must not share state or require coordination to execute in parallel.

Can I use parallel agents for failures that share dependencies across subsystems?▼

No. Parallel agents work only for independent failures with no shared state. If failures are coupled across subsystems or require coordinated changes, sequential debugging or unified investigation is more appropriate to avoid conflicts and data inconsistency.

What's the typical output format I should expect from parallel agent tasks?▼

Each agent returns a concise summary containing the root cause of its assigned failure and the specific changes made. These summaries are structured for easy integration, allowing you to review findings and apply changes without further coordination or consolidation work.