dispatching-parallel-agents

Dispatch concurrent agents to investigate independent failures across separate problem domains.

Updated Jul 29, 2026
One-click install
npx skills add https://github.com/MaiconGambini/opencode-harness-guide --skill dispatching-parallel-agents-maicongambini
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/MaiconGambini/opencode-harness-guide/tree/main/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/MaiconGambini/opencode-harness-guide --skill dispatching-parallel-agents-maicongambini

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When multiple unrelated failures appear at once (different test files, subsystems, or bugs), investigating them sequentially wastes time and bloats your context. This Skill provides a structured pattern for delegating each independent problem to a focused agent that works concurrently with isolated context. ## Core Features & Use Cases - Independence Decision Framework: A decision flowchart and criteria to determine whether failures are independent enough for parallel dispatch or require sequential investigation. - Agent Prompt Structure: A template for writing focused, self-contained agent prompts with specific scope, constraints, and expected output format. - Integration & Verification Workflow: Steps to review agent summaries, detect conflicts, run the full test suite, and spot-check results after agents return. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file so all three investigations complete concurrently, then integrate the non-conflicting fixes. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the specific test names, error messages, and constraints for its domain.

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 agent per domain with a focused prompt containing the test names, error messages, and constraints. Each agent works concurrently with isolated context, and you integrate their fixes afterward.

When should I use parallel agents instead of sequential debugging?

Use parallel dispatch when failures are independent, such as different test files or subsystems with no shared state. Avoid it when failures are related, when understanding requires full system context, or when agents would edit the same files.

What makes a good agent prompt for parallel task delegation?

A good agent prompt is focused on one problem domain, self-contained with all needed context like error messages, explicit about constraints such as not changing production code, and specific about the expected output summary.

How do I verify fixes from multiple parallel agents don't conflict?

Review each agent's summary to understand what changed, check whether agents edited the same code, run the full test suite to confirm all fixes work together, and spot-check results since agents can make systematic errors.

What are the limitations of dispatching parallel agents for debugging?

Parallel dispatch fails when failures share root causes, when exploratory debugging is needed before the problem is known, or when agents would interfere through shared state like editing the same files or resources.