dispatching-parallel-agents

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

Updated Jul 23, 2025
One-click install
npx skills add https://github.com/derrik-fleming/dotfiles --skill dispatching-parallel-agents-derrik-fleming
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/derrik-fleming/dotfiles/tree/main/private_dot_agents/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/derrik-fleming/dotfiles --skill dispatching-parallel-agents-derrik-fleming

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 a single agent loses focus juggling unrelated contexts. This Skill provides a structured pattern for splitting independent problems into focused agent tasks that 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. - Agent Prompt Structure: A template for writing focused, self-contained agent prompts with specific scope, constraints, and expected output format. - Integration Workflow: Steps for reviewing agent summaries, checking for conflicts, and running 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 so all three investigations complete concurrently with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the specific test names, error messages, and a constraint to fix only its assigned 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 agent per domain with a focused prompt containing the test names, error messages, and constraints. Each agent works concurrently, and you review and integrate their summaries afterward.

When should I use parallel agents instead of a single agent for debugging?▼

Use parallel agents when failures are independent, such as different test files with different root causes, and no shared state exists between investigations. Avoid parallel dispatch when failures are related, since fixing one may fix others.

What makes a good agent prompt for parallel task dispatch?▼

A good prompt is focused on one problem domain, self-contained with all needed context like error messages, explicit about constraints such as not changing other code, and specific about the expected output summary.

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

Yes, conflicts occur when agents share state or edit the same files. Prevent this by assigning strictly separate scopes, then after dispatch review each summary, check for overlapping edits, and run the full test suite.

What are common mistakes when dispatching parallel agents?▼

Common mistakes include overly broad scopes like fixing all tests at once, missing context such as error messages, absent constraints that let agents refactor unrelated code, and vague output requirements that hide what changed.