dispatching-parallel-agents

Dispatches concurrent subagents to fix independent test failures across separate problem domains.

Updated Aug 22, 2026
One-click install
npx skills add https://github.com/farslab/claude-skills --skill dispatching-parallel-agents-farslab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/farslab/claude-skills/tree/main/dispatching-parallel-agents
Command: npx skills add https://github.com/farslab/claude-skills --skill dispatching-parallel-agents-farslab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated test failures sequentially wastes time when each failure has an independent root cause. This Skill coordinates parallel subagent dispatch so independent problems are investigated and fixed concurrently without shared state or context pollution. ## Core Features & Use Cases - Independent Domain Identification: Groups failures by subsystem or test file to determine which can be worked on in parallel. - Focused Agent Prompts: Provides a structure for self-contained agent tasks with specific scope, constraints, and expected output. - Parallel Dispatch Pattern: Issues multiple subagent dispatches in a single response so they execute concurrently. - Use Case: After a major refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch one agent per file, then review summaries, check for conflicts, and run the full suite to integrate. ## Quick Start Dispatch one subagent per failing test file to fix each independent failure in parallel, then review their summaries 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 subagent per domain in the same response so they run concurrently. Give each agent a focused scope, the relevant error messages, constraints, and a required summary of findings.

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 separate root causes and no shared state. If fixing one failure might fix others, investigate them together first.

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.

When should I not use parallel agent dispatch?▼

Avoid it when failures are related, when understanding requires full system context, during exploratory debugging where the problem is unknown, or when agents would share state such as editing the same files.

How do I verify results after parallel agents finish?▼

Read each agent's summary, check whether agents edited the same code and created conflicts, run the full test suite to confirm fixes work together, and spot check changes since agents can make systematic errors.