dispatching-parallel-agents

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

Updated Dec 19, 2024
One-click install
npx skills add https://github.com/DNepovim/yadm --skill dispatching-parallel-agents-dnepovim
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/DNepovim/yadm/tree/main/.claude/plugins/cache/claude-plugins-official/superpowers/5.0.6/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/DNepovim/yadm --skill dispatching-parallel-agents-dnepovim

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 bloats your working context. This Skill provides a structured pattern for delegating each independent problem to a focused agent that works in parallel with isolated context. ## Core Features & Use Cases - Domain Identification: Group failures by root cause to confirm they are independent before dispatching agents. - Focused Agent Prompts: Construct self-contained instructions with specific scope, constraints, and expected output for each agent. - Parallel Dispatch and Integration: Run agents concurrently, then review summaries, check for conflicts, and verify with the full test suite. - 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 Dispatch one agent per failing test file to fix these independent failures in parallel, then review each summary and run the full test suite.

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, constraints, and expected output. After agents return, review summaries, check for conflicts, and run the full test suite.

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

Use parallel dispatch when failures are independent, such as different test files or subsystems with different root causes and no shared state. If fixing one failure might fix others, or agents would edit the same files, investigate sequentially instead.

What makes a good agent prompt for parallel debugging?▼

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

When should I not use parallel agent dispatch?▼

Avoid parallel dispatch when failures are related, when understanding requires full system context, during exploratory debugging where the problem is unknown, or when agents would interfere through shared state like editing the same files.

How do I verify results after parallel agents finish?▼

Read 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.