dispatching-parallel-agents

Dispatch independent tasks to specialized agents with isolated context.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/SlevoDev/s-tag --skill dispatching-parallel-agents-slevodev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/SlevoDev/s-tag/tree/main/.claude/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/SlevoDev/s-tag --skill dispatching-parallel-agents-slevodev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Delegates work to specialized agents with isolated context, enabling parallel investigation of independent failures without cross-contamination of state.

Core Features & Use Cases

  • Identifies independent problem domains and assigns one agent per domain
  • Executes agents in parallel and aggregates concise summaries
  • Keeps each agent's context isolated, avoiding history leakage for coordination work

Quick Start

Define separate agents for each independent task and run them in parallel, then review their summaries.

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 parallel agents for concurrent task distribution?

Parallel agents execute independent tasks concurrently using isolated context windows. This agent-per-domain pattern prevents cross-contamination of state and returns concise domain-specific summaries for each subsystem.

When should I use parallel agents for task distribution?

Dispatch parallel agents when multiple unrelated failures or independent subsystems require concurrent investigation. This approach isolates context per domain, preventing state cross-contamination during coordination work.

How do I prevent context leakage when coordinating multiple agents?

Prevent context leakage by dispatching independent tasks to specialized agents with isolated context windows. This agent-per-domain pattern ensures parallel execution without cross-contaminating state during coordination work.

What is the best way to aggregate summaries from independent problem domains?

Aggregate domain-specific summaries by dispatching parallel agents that execute concurrently across independent problem domains. Each agent operates with isolated context, returning concise domain-specific summaries for aggregation.

Why does dispatching one agent per domain improve concurrency?

Dispatching one agent per domain improves concurrency by enforcing parallel execution across independent problem domains. Isolating each agent's context avoids history leakage during coordination work.