dispatching-parallel-agents

Dispatch parallel agents to investigate independent failures across files or subsystems.

1|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/tense-i/stock-market-simulator --skill dispatching-parallel-agents-tense-i
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/tense-i/stock-market-simulator/tree/main/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/tense-i/stock-market-simulator --skill dispatching-parallel-agents-tense-i

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Investigates 2+ independent failures or tasks simultaneously by assigning a separate agent to each problem domain, reducing overall debugging time.

Core Features & Use Cases

  • One agent per problem domain: isolates issues to avoid cross-domain interference.
  • Self-contained tasks: each agent operates without shared state and reports concise findings.
  • Structured prompts & outputs: defined inputs, goals, and expected results ensure consistent reviews.
  • Use cases: ideal for parallel debugging across multiple test files, subsystems, or bugs.

Quick Start

Dispatch parallel agents to investigate independent failures across files or subsystems.

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 at the same time?

Debug multiple independent failures simultaneously by dispatching dedicated parallel agents. Each agent is assigned to a separate problem domain, such as a specific subsystem or test file, to investigate issues concurrently without cross-domain interference.

What is the best way to handle parallel debugging across different subsystems?

The best way to handle parallel debugging across subsystems is dispatching one agent per problem domain. This structured workflow isolates independent failures and eliminates shared state, ensuring each subsystem is investigated concurrently and safely.

When should I dispatch parallel agents for task investigation?

Dispatch parallel agents for task investigation when you have two or more independent problems with no shared state. This approach works best when each problem domain can be fully isolated and investigated concurrently without interfering with other tasks.

How do I define prompts and expected outputs for parallel agents?

Define prompts and expected outputs for parallel agents by specifying structured inputs, goals, and expected results for each task. This ensures each agent operates self-contained and reports concise findings for consistent reviews across all dispatched investigations.

Can I use parallel task dispatch for bugs that share application state?

Parallel task dispatch is not suitable for bugs that share application state. This approach requires completely independent problems with no shared state, as each agent must operate in isolation to avoid cross-domain interference during concurrent debugging.