What is a Parallel Agent in Claude Code?

It is a specialized capability that allows you to dispatch multiple Claude agents simultaneously to handle separate, non-overlapping tasks, drastically reducing the time spent on sequential investigations.

How does the skill prevent code conflicts?

The skill includes a pre-dispatch checklist to verify independence and a post-completion review process to identify and resolve any overlapping code changes before integration.

How many agents can I run at once?

While the tool supports multiple invocations, it is best practice to limit to 3-5 concurrent agents to ensure manageable review and integration of results.

When should I avoid using parallel agents?

Avoid parallelization when tasks have sequential dependencies, shared state, or if fixing one issue might resolve others. You should also avoid it if agents need to modify the same files.

Parallel Agents

Name: Parallel Agents
Author: bostonaholic

bybostonaholic

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Productivity & Workflow

Accelerates development by dispatching multiple Claude agents concurrently to resolve independent tasks and test failures simultaneously.

About

Parallel Agents is a specialized workflow skill for Claude Code designed to maximize engineering efficiency by eliminating sequential bottlenecks. By identifying tasks with no shared state—such as unrelated test failures across different subsystems or bulk updates in distinct directories—this skill allows for the concurrent execution of multiple focused agents. It provides a rigorous decision framework for independence, optimized prompt structures for self-contained tasks, and a systematic process for reviewing and integrating parallel changes into a single codebase without conflicts.

Key Features

2 GitHub stars
Dependency and independence assessment framework
Concurrent agent dispatching for non-overlapping tasks
Seamless integration with the Research-Plan-Implement (RPI) framework
Structured templates for self-contained agent prompts
Post-execution conflict resolution and integration workflow

Use Cases

Parallelizing bulk documentation or configuration updates across a repository
Executing independent refactoring tasks across separate directory structures
Fixing multiple test failures spanning unrelated subsystems like Auth, API, and DB

About

Key Features

2 GitHub stars
Dependency and independence assessment framework
Concurrent agent dispatching for non-overlapping tasks
Seamless integration with the Research-Plan-Implement (RPI) framework
Structured templates for self-contained agent prompts
Post-execution conflict resolution and integration workflow

Use Cases

Parallelizing bulk documentation or configuration updates across a repository
Executing independent refactoring tasks across separate directory structures
Fixing multiple test failures spanning unrelated subsystems like Auth, API, and DB