dispatching-parallel-agents

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

Updated Sep 11, 2026
One-click install
npx skills add https://github.com/CYRUS-pinto/pi-bot --skill dispatching-parallel-agents-cyrus-pinto
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/CYRUS-pinto/pi-bot/tree/main/.agents/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/CYRUS-pinto/pi-bot --skill dispatching-parallel-agents-cyrus-pinto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated failures sequentially wastes time when each problem domain is independent. This Skill provides a structured pattern for delegating independent tasks to parallel subagents with isolated context, so concurrent investigations finish faster without agents interfering with each other. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and explicit criteria help determine whether failures are independent enough for parallel dispatch or require sequential investigation. - Focused Agent Prompts: A proven prompt structure ensures each agent gets a specific scope, clear goal, constraints, and expected output format. - Parallel Dispatch Pattern: Issuing multiple subagent dispatches in a single response runs them concurrently, followed by a review-and-integrate phase. - 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 verify the fixes don't conflict and run the full suite. ## Quick Start Ask the agent to dispatch one subagent per failing test file so the independent failures are investigated and fixed in parallel.

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 prompt should specify the test file, the failing tests, constraints, and the expected summary output.

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.

How do I write a good prompt for a delegated subagent?

Make the prompt focused on one problem domain, self-contained with all needed context like error messages and test names, and specific about constraints and output. Tell the agent exactly what to return, such as a summary of root cause and changes.

What are common mistakes when dispatching parallel agents?

Common mistakes include scopes that are too broad, missing context like error messages, no constraints so agents refactor unrelated code, and vague output requirements. Each agent should get a narrow scope, pasted errors, explicit constraints, and a defined return format.

How do I verify results after parallel agents finish?

Review each agent's summary to understand what changed, check whether agents edited the same code, run the full test suite to confirm fixes work together, and spot check for systematic errors agents may have made.