parallel-dispatch

Orchestrate concurrent agent executions and consolidate structured results.

175|26|Updated Aug 14, 2025
One-click install
npx skills add https://github.com/jmagly/ai-writing-guide --skill parallel-dispatch-jmagly
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-dispatch
Source: https://github.com/jmagly/ai-writing-guide/tree/main/.factory/skills/parallel-dispatch
Command: npx skills add https://github.com/jmagly/ai-writing-guide --skill parallel-dispatch-jmagly

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Orchestrates multiple agents in parallel to speed up reviews and analyses with consolidated results.

Core Features & Use Cases

  • Agent configuration: Define multiple agents and prompts.
  • Parallel execution: Launch concurrently and gather outputs.
  • Aggregation: Return structured, per-agent results.

Quick Start

Dispatch security-architect, test-architect, and requirements-analyst in parallel for a review.

Frequently Asked Questions about parallel-dispatch

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

FAQPage Schema
How do I run multiple agents in parallel to speed up analysis?

Parallel dispatch orchestrates concurrent execution of multiple agents, launching them simultaneously and collecting their results together. This speeds up reviews like security assessments, architectural evaluations, and requirements analysis by distributing work across agents instead of running them sequentially.

Can I configure different agents with separate prompts for the same task?

Yes. Parallel dispatch loads agent configurations and injects agent-specific prompts, allowing you to run specialized agents—such as a security architect, test architect, and requirements analyst—on the same artifact with tailored instructions for each role.

What happens if an agent takes too long to complete?

Parallel dispatch enforces timeouts on concurrent tasks to ensure timely results. Each agent's execution is bounded, preventing slow agents from blocking the entire review and allowing you to collect partial results within a predictable window.

How do I get results from all agents in a structured format?

Parallel dispatch returns per-agent outputs and execution metadata in structured form, consolidating results from all concurrent agents. The output is suitable for downstream processing, analysis, or export.

What's the best way to aggregate findings from multiple reviewers into one report?

Parallel dispatch consolidates per-agent outputs into a single result set, enabling you to combine perspectives from different specialized agents—such as security, testing, and requirements experts—into comparable, aggregated findings for comprehensive reviews.