What happens if two agents try to edit the same file?

The pattern advises against parallel dispatch if there is shared state. If it occurs, the final integration and verification step is used to identify and resolve any code conflicts.

What are the primary benefits of parallel dispatching?

The main benefits are drastically reduced total resolution time, improved agent focus due to narrowed scope, and better isolation of complex timing or race condition issues.

How does this skill prevent agents from interfering with each other?

The pattern requires identifying independent domains and setting strict constraints so agents only modify their assigned scope, followed by a final integration review.

When should I use parallel agents instead of a single agent?

Use parallel agents when you have multiple independent failures, such as different test files or subsystems, that can be understood and fixed without context from the others.

Parallel Agent Dispatcher

Name: Parallel Agent Dispatcher
Author: Cygnusfear

byCygnusfear

Productivity & Workflow

Optimizes software debugging and development by dispatching independent AI agents to resolve multiple tasks concurrently.

About

The Parallel Agent Dispatcher skill enables Claude to handle complex scenarios involving multiple unrelated failures or tasks by breaking them into domain-specific sub-tasks and processing them in parallel. It is particularly effective for debugging large test suites, fixing independent bugs across different subsystems, or implementing features that do not share state. By shifting from sequential processing to a concurrent model, this skill significantly reduces the time required to reach a stable build while ensuring each agent maintains a narrow, high-precision context for its specific problem domain.

Key Features

Conflict detection and full-suite verification patterns
Structured integration workflow for merging parallel fixes
Context-focused agent prompting for higher accuracy
Concurrent agent dispatching for massive time savings
0 GitHub stars
Domain-based task isolation for independent problem solving

Use Cases

Implementing non-dependent feature enhancements across a large codebase
Fixing multiple independent test failures across different files or subsystems
Simultaneously investigating unrelated bugs discovered during a major refactor

About

Key Features

Conflict detection and full-suite verification patterns
Structured integration workflow for merging parallel fixes
Context-focused agent prompting for higher accuracy
Concurrent agent dispatching for massive time savings
0 GitHub stars
Domain-based task isolation for independent problem solving

Use Cases

Implementing non-dependent feature enhancements across a large codebase
Fixing multiple independent test failures across different files or subsystems
Simultaneously investigating unrelated bugs discovered during a major refactor