dispatching-parallel-agents

Dispatch parallel agents to independently solve tasks without shared state.

4|Updated Dec 5, 2025

Search Tags:#workflow #concurrency #agents #dispatch #parallel #test-suites #independent-tasks

Ready to run

npx skills add https://github.com/aaaa47080/stock_agent --skill dispatching-parallel-agents-aaaa47080

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/aaaa47080/stock_agent/tree/main/.opencode/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/aaaa47080/stock_agent --skill dispatching-parallel-agents-aaaa47080

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This pattern helps coordinate multiple independent investigations or tasks by dispatching isolated agents to work in parallel, eliminating cross-task dependencies.

Core Features & Use Cases

Identify Independent Domains: Group failures by what's broken; each domain is independent.
Create Focused Agent Tasks: Each agent gets a specific scope, clear goal, constraints, and expected output.
Dispatch in Parallel: Send all agents at once; they work concurrently.
Review and Integrate: Read each summary, verify conflicts, run full test suite, and merge changes.
Use Case: When 3+ test files fail with different root causes, or multiple subsystems are broken independently.

Quick Start

Identify independent problem domains, dispatch a dedicated agent for each, and review results to consolidate fixes.

Frequently Asked Questions about dispatching-parallel-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I execute independent tasks in parallel to speed up fixing multiple subsystems?▼

To execute independent tasks in parallel, you dispatch isolated agents to concurrently solve problems that have no shared state. This pattern groups failures by independent domains, assigns each agent a specific scope, and enforces task boundaries to eliminate cross-task dependencies during parallel execution.

When should I use parallel agents for my test suites?▼

You should use parallel agents for test suites when 3 or more test files fail with different root causes, or when multiple subsystems are broken independently. This pattern applies when problems can be solved in isolation without shared state dependencies across the different test domains.

How do I dispatch parallel agents for independent investigations without cross-task dependencies?▼

To dispatch parallel agents for independent investigations, you create focused agent tasks with specific scopes, clear goals, constraints, and expected outputs. You send all agents at once to work concurrently, enforcing independent task boundaries to eliminate cross-task dependencies during the parallel execution.

What is the best way to review and integrate changes from parallel agents working on isolated tasks?▼

The best way to review and integrate changes from parallel agents is to read each agent's summary, verify there are no conflicts between the isolated tasks, run the full test suite, and merge the changes. This controlled review process ensures independent fixes do not introduce regressions.

Can I use parallel execution for tasks that share state across different subsystems?▼

You cannot use this parallel execution pattern for tasks that share state across subsystems. The dispatching parallel agents pattern strictly requires 2 or more tasks with no shared state, as it enforces independent task boundaries and relies on problems being solvable in complete isolation.

What are the limitations of dispatching parallel agents for concurrent problem solving?▼

The main limitation of dispatching parallel agents is that it only applies when multiple tasks have no shared state and can be solved in complete isolation. If independent problem domains have hidden dependencies or cross-task interactions, the parallel execution pattern will fail to properly coordinate the concurrent fixes.