dispatching-parallel-agents

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

Updated Jul 30, 2026
One-click install
npx skills add https://github.com/johsquaree/claude-basic-docs --skill dispatching-parallel-agents-johsquaree
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/johsquaree/claude-basic-docs/tree/main/.claude/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/johsquaree/claude-basic-docs --skill dispatching-parallel-agents-johsquaree

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated test failures sequentially wastes time when each failure belongs to an independent subsystem. This Skill coordinates parallel subagent dispatch so each problem domain is investigated and fixed concurrently without shared state or context pollution. ## Core Features & Use Cases - Independent Domain Identification: Groups failures by subsystem to confirm they can be worked on without shared state or sequential dependencies. - Focused Agent Prompts: Provides a structure for self-contained agent instructions with specific scope, constraints, and expected output. - Parallel Dispatch Pattern: Issues multiple subagent dispatches in a single response so they execute concurrently rather than sequentially. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per test file, then review summaries and run the full suite to integrate the fixes. ## Quick Start Ask the agent to dispatch one parallel subagent per failing test file, each with a focused prompt to fix only its own failures.

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. Each agent gets a focused prompt with the specific test file, error messages, constraints, and expected output summary.

When should I use parallel agents instead of sequential debugging?

Use parallel agents when failures are independent, such as different test files or subsystems with no shared state. Avoid parallel dispatch when failures are related, when fixing one might fix others, 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.

Why do parallel agents sometimes produce conflicting changes?

Conflicts happen when domains are not truly independent and agents edit the same code or share state. After agents return, review each summary, check for overlapping edits, and run the full test suite to verify the fixes integrate cleanly.

When should I not dispatch parallel agents for debugging?

Avoid parallel dispatch for related failures, exploratory debugging where the root cause is unknown, situations requiring full system context, or any work involving shared state where agents would interfere with each other.