Does this save time compared to running agents sequentially?

Absolutely. By utilizing parallel task execution, it significantly reduces the total wall-clock time required to receive feedback from multiple specialized roles.

How many agents can I run at once?

While configurable, the skill is optimized for 3-5 agents per dispatch to balance performance, memory usage, and token costs effectively.

Is it possible to share context between agents?

Yes, the dispatcher allows you to inject shared artifacts, paths, and requirements into every agent's specific prompt simultaneously.

What happens if one agent fails during a parallel run?

The skill includes failure behavior settings; you can choose to 'continue' and return results from successful agents or 'abort' the entire dispatch if one fails.

Can I use my own custom agents with this skill?

Yes, you can define custom agent names, prompt templates, and specific task requirements within a YAML configuration file.

Parallel Agent Dispatcher

Name: Parallel Agent Dispatcher
Author: jmagly

byjmagly

•

Productivity & Workflow

Orchestrates multiple autonomous agents concurrently to perform complex multi-perspective analyses and reviews.

About

Parallel Agent Dispatcher is a high-performance orchestration utility designed to launch multiple specialized agents simultaneously, significantly reducing wall-clock time for complex tasks like security audits and architectural reviews. It provides a standardized framework for parsing agent configurations, injecting shared context, handling timeouts, and aggregating diverse outputs into structured JSON results. Ideal for teams implementing agentic workflows, it acts as the backbone for multi-agent coordination within Claude Code, ensuring robust execution through built-in error handling and status monitoring.

Key Features

Customizable Error Handling: Configure specific behaviors for agent timeouts or individual execution failures.
Structured Result Aggregation: Collects per-agent outputs and metadata into a unified JSON schema.
Pre-defined Agent Groups: Quick-start templates for Architecture, Security, and Documentation reviews.
67 GitHub stars
Concurrent Multi-Agent Orchestration: Run multiple agents simultaneously to minimize latency.
Standardized Configuration: Define agent prompts, shared contexts, and timeouts via simple YAML.

Use Cases

Automated Gate Evaluation: Execute multi-perspective checks before merging code or deploying infrastructure.
Simultaneous Security and Quality Reviews: Run a security architect and a test architect on a single code artifact.
Comprehensive Documentation Audits: Coordinate technical writers and domain experts to validate guides.

About

Key Features

Customizable Error Handling: Configure specific behaviors for agent timeouts or individual execution failures.
Structured Result Aggregation: Collects per-agent outputs and metadata into a unified JSON schema.
Pre-defined Agent Groups: Quick-start templates for Architecture, Security, and Documentation reviews.
67 GitHub stars
Concurrent Multi-Agent Orchestration: Run multiple agents simultaneously to minimize latency.
Standardized Configuration: Define agent prompts, shared contexts, and timeouts via simple YAML.

Use Cases

Automated Gate Evaluation: Execute multi-perspective checks before merging code or deploying infrastructure.
Simultaneous Security and Quality Reviews: Run a security architect and a test architect on a single code artifact.
Comprehensive Documentation Audits: Coordinate technical writers and domain experts to validate guides.