dispatching-parallel-agents

Dispatch parallel agents to investigate independent failure domains and consolidate results.

2|1|Updated Jan 5, 2026
One-click install
npx skills add https://github.com/lagz0ne/prev-cli --skill dispatching-parallel-agents-lagz0ne
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/lagz0ne/prev-cli/tree/main/.opencode/skill/dispatching-parallel-agents
Command: npx skills add https://github.com/lagz0ne/prev-cli --skill dispatching-parallel-agents-lagz0ne

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables orchestrating multiple independent investigations simultaneously by dispatching one agent per distinct problem domain, eliminating wasted time from sequential debugging.

Core Features & Use Cases

  • Identify Independent Domains: Group failures or tasks by what’s broken so each domain can be tackled in isolation.
  • Create Focused Agent Tasks: For each domain, define a specific scope, a clear goal, constraints, and the expected output.
  • Dispatch in Parallel & Aggregate: Run all domain-specific agents concurrently and compile their summaries for review.
  • Review & Integrate: Read results from all agents and consolidate fixes without cross-domain interference.

Quick Start

Initiate parallel agents for the following independent domains: agent-tool-abort, batch-completion-behavior, tool-approval-race-conditions. Run each agent with its own scope and expected output, then review summaries and merge changes.

Frequently Asked Questions about dispatching-parallel-agents

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

FAQPage Schema
How do I debug multiple independent failures simultaneously?

Dispatch parallel agents to investigate independent failure domains by grouping failures, creating focused agent tasks with defined scope and constraints, running them concurrently, and consolidating summaries for review without cross-domain interference.

What is the best way to run parallel agents for concurrent debugging tasks?

The best way to run parallel agents for concurrent debugging is to identify distinct independent domains, create focused agent tasks with defined scope and expected output per domain, dispatch agents concurrently, and review summaries to consolidate fixes without cross-domain interference.

How do I define scope and constraints for agents dispatched in parallel?

Define scope and constraints by identifying independent failure domains, then creating focused agent tasks for each domain that specify a clear scope, goal, constraints, and expected output before dispatching agents in parallel.

Can I dispatch parallel agents for subsystems that share state?

No, you should not dispatch parallel agents for subsystems that share state. This approach covers multiple simultaneous failures or subsystems that can be analyzed without shared state, ensuring fixes consolidate without cross-domain interference.

How do I consolidate results from parallel agents investigating different domains?

Consolidate results by reading summaries from all dispatched parallel agents, reviewing their findings, and integrating fixes without cross-domain interference after all concurrent domain-specific investigations complete.