When should I avoid using parallel agents?

Avoid parallel dispatch when failures are related (fixing one might fix others), when the agent needs full system context to understand a bug, or when agents would edit the same files and cause conflicts.

Is this skill compatible with SuperNavigator?

Yes, this skill is a core component of the SuperNavigator repository designed to enhance the capabilities of Claude Code.

How do I ensure parallel agents don't conflict?

The skill outlines a pattern of identifying independent domains. You should only dispatch agents to work on files or subsystems that do not share state or sequential dependencies.

What is the main benefit of dispatching parallel agents?

The primary benefit is speed. By solving independent problems simultaneously rather than one after another, you can reduce the total time spent on debugging and development by 50% or more.

What should be included in a parallel agent prompt?

A good prompt should be focused on one domain, self-contained with all necessary error context, and specific about the expected output or summary.

Dispatching Parallel Agents

Name: Dispatching Parallel Agents
Author: dkyazzentwatwa

bydkyazzentwatwa

•

Productividad y Flujo de Trabajo

Accelerates development workflows by identifying independent tasks and dispatching multiple AI agents to solve them concurrently.

Acerca de

The Dispatching Parallel Agents skill provides a structured framework for scaling Claude Code's productivity by breaking down complex, multi-faceted problems into isolated domains. It is specifically designed for scenarios where multiple unrelated failures occur, such as independent test suite errors or disconnected subsystem bugs. By following a pattern of identifying independent domains, creating focused prompts, and managing concurrent execution, this skill enables developers to resolve multiple issues in the time it would typically take to fix a single one, while ensuring agents do not interfere with each other's work.

Características Principales

Decision framework for choosing between sequential and parallel workflows
Post-integration verification patterns to ensure code harmony
29 GitHub stars
Parallel agent dispatching for concurrent problem-solving
Domain isolation logic to prevent resource and state conflicts
Structured agent prompt templates for focused task execution

Casos de Uso

Investigating unrelated bugs across different subsystems simultaneously
Fixing multiple failing test files with distinct root causes after a major refactor
Executing independent documentation updates or linting fixes across large repositories

Acerca de

Características Principales

Decision framework for choosing between sequential and parallel workflows
Post-integration verification patterns to ensure code harmony
29 GitHub stars
Parallel agent dispatching for concurrent problem-solving
Domain isolation logic to prevent resource and state conflicts
Structured agent prompt templates for focused task execution

Casos de Uso

Investigating unrelated bugs across different subsystems simultaneously
Fixing multiple failing test files with distinct root causes after a major refactor
Executing independent documentation updates or linting fixes across large repositories