How many agents can I run at once using Parallel Dispatcher?

While the system is flexible, it is optimized for 3-5 agents per dispatch to ensure high performance and manageable output aggregation.

What happens if one agent fails or times out during execution?

The skill features configurable error handling. You can choose to receive partial results from successful agents or abort the entire task if a critical agent fails.

Can I define my own custom agent groups?

Yes, you can use YAML configuration files to define custom agents with specific prompt templates, shared contexts, and output requirements.

Does this skill support inter-agent communication?

During execution, agents run independently to maximize speed and prevent circular dependencies. Results are aggregated at the end for synthesis by a lead agent if needed.

Parallel Agent Dispatcher

Name: Parallel Agent Dispatcher
Author: jmagly

byjmagly

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Productivity & Workflow

Orchestrates multiple AI agents concurrently to perform complex reviews, analysis, and processing tasks in parallel.

The Parallel Dispatcher skill provides the foundational infrastructure for high-concurrency agentic workflows, allowing users to launch multiple specialized agents simultaneously. It streamlines complex tasks such as multi-dimensional code reviews, security audits, and documentation checks by managing agent-specific prompts, handling timeouts, and aggregating structured results into a single actionable output. By enabling parallel execution rather than sequential processing, it significantly reduces wall-clock time and allows for deeper, more specialized analysis across various domains in autonomous coding environments.

Key Features

01Structured JSON output containing per-agent results and execution metadata

02Pre-defined agent groups for Architecture, Security, Documentation, and Marketing

0367 GitHub stars

04Concurrent execution of multiple specialized agents in a single workflow

05Configurable timeout and failure handling (partial vs. fail-fast behaviors)

06YAML-based configuration for custom agent prompts and shared contexts

Use Cases

01Simultaneously auditing documentation for technical accuracy, brand compliance, and accessibility

02Performing a multi-dimensional security and architecture review on a new software design

03Dispatching multiple analysis agents to identify test coverage gaps and edge cases across a project

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jmagly/ai-writing-guide parallel-dispatch

For use in Claude.ai and ChatGPT

Download Skill