parallel-dispatch

Dispatch independent tasks to multiple sub-agents with isolated contexts and merged verification.

1|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/lleontor705/cortex-ia --skill parallel-dispatch-lleontor705
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-dispatch
Source: https://github.com/lleontor705/cortex-ia/tree/main/internal/assets/skills/parallel-dispatch
Command: npx skills add https://github.com/lleontor705/cortex-ia --skill parallel-dispatch-lleontor705

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel-dispatch coordinates work across multiple sub-agents to solve independent problems concurrently, reducing overall completion time and avoiding cross-agent interference.

Core Features & Use Cases

  • Parallel task dispatch: split a workload into independent domains and run them concurrently.
  • Isolated prompts & contexts: each agent receives a minimal, self-contained prompt with strict boundaries.
  • Safe merge & verification: results are merged with conflict checks and a final validation step.

Quick Start

Describe the independent tasks to dispatch in parallel and provide isolated prompts for each agent.

Frequently Asked Questions about parallel-dispatch

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

FAQPage Schema
How do I run parallel tasks with isolated contexts for multiple agents?▼

Parallel task coordination dispatches work to multiple sub-agents concurrently, providing each with a minimal, self-contained prompt to solve independent problems without cross-agent interference.

What is the best way to coordinate concurrent sub-agents working on independent files?▼

Concurrent sub-agent coordination is best handled by grouping work into independent domains, reserving files per agent, and executing them in parallel with a final verification step.

How do I split a workload into independent domains for parallel execution?▼

Splitting a workload for parallel execution involves defining independent problem domains and providing isolated prompts for each agent, ensuring strict boundaries throughout the dispatch process.

Can I merge results from parallel agents with conflict checks?▼

Merging results from parallel agents includes conflict checks and a final validation step, ensuring that the merged outcome is verified and safe after concurrent execution.

When should I use an orchestrator for parallel task dispatch instead of sequential execution?▼

An orchestrator for parallel task dispatch should be used when independent problems need concurrent execution to reduce overall completion time, avoiding the delays of sequential execution.

How does parallel-dispatch enforce per-agent boundaries?▼

Parallel-dispatch enforces per-agent boundaries by reserving files per agent and providing each with isolated prompts and contexts, validating results through a merged outcome.