dispatching-parallel-agents

Dispatch independent subtasks to parallel agents with isolated contexts for concurrent resolution.

3|1|Updated May 29, 2026
One-click install
npx skills add https://github.com/mambo-wang/CodingHub --skill dispatching-parallel-agents-mambo-wang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/mambo-wang/CodingHub/tree/main/.qoder/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/mambo-wang/CodingHub --skill dispatching-parallel-agents-mambo-wang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When multiple unrelated failures appear at once (different test files, different subsystems, different bugs), investigating them one by one wastes time. This Skill provides a structured method for splitting independent problem domains into focused agent tasks that run concurrently, each with its own isolated context. ## Core Features & Use Cases - Independence Decision Framework: A decision flow helps you determine whether failures are truly independent and safe to parallelize, or related and better handled by a single agent. - Agent Prompt Structure: A proven template for writing focused, self-contained agent prompts with clear scope, constraints, and expected output summaries. - Review and Integration Workflow: Guidance for verifying agent results, detecting conflicts between fixes, and running the full test suite after integration. - Use Case: After a large refactor leaves 6 failing tests across 3 files (abort logic, batch completion, race conditions), dispatch three agents in parallel—one per file—and integrate their independent fixes with zero conflicts. ## Quick Start Ask the AI to analyze the current test failures, group them into independent problem domains, and dispatch one focused agent per domain to fix them 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 run multiple AI agents in parallel on different tasks?▼

Identify independent problem domains, then dispatch one focused agent per domain with a self-contained prompt covering scope, goal, constraints, and expected output. Each agent runs with isolated context so they do not interfere with each other.

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

Use parallel agents when failures are independent, such as different test files failing for different root causes. Avoid parallelization when failures are related, when full system context is needed, or when agents would share state like editing the same file.

How do I write a good prompt for a delegated agent task?▼

Make the prompt focused on one problem domain, self-contained with all needed context such as error messages and test names, explicit about constraints like not modifying other code, and clear about the expected output summary.

What are common mistakes when dispatching parallel agents?▼

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

How do I integrate results from multiple parallel agents safely?▼

Read each agent's summary, check whether agents edited overlapping code, run the complete test suite to verify all fixes work together, and spot-check changes since agents can make systematic errors.