What is the main benefit of using this skill?

The primary benefit is speed; by running tasks in parallel, the total time taken is roughly equal to the longest single task rather than the sum of all tasks.

How does parallel execution work in Claude Code?

It works by grouping multiple tool calls into a single assistant response, allowing the underlying system to process them concurrently rather than one after another.

When should I avoid parallel execution?

Avoid it when tasks have dependencies where one needs another's output, when modifying the same file to prevent conflicts, or when tasks require a specific sequential order like git workflows.

How do I track the progress of multiple parallel tasks?

This skill utilizes the TodoWrite integration to mark all parallel tasks as 'in_progress' simultaneously, updating each to 'completed' as individual results are returned.

Parallel Execution

Name: Parallel Execution
Author: majiayu000

bymajiayu000

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生产力与工作流

Enables simultaneous task processing in Claude Code to drastically reduce execution time and improve workflow throughput.

关于

This skill optimizes Claude Code workflows by teaching the agent to group multiple independent task calls within a single assistant message. By breaking away from sequential processing, users can perform complex multi-module analyses, concurrent file reviews, and multi-perspective security audits up to 10x faster. It provides a structured framework for identifying parallelizable tasks, managing their progress via TodoWrite integration, and synthesizing diverse results into a unified output, making it essential for high-performance agentic workflows.

主要功能

64 GitHub stars
Integrated TodoWrite status tracking for concurrent tasks
Automated result synthesis for unified reporting
Directory-based and perspective-based execution patterns
Multi-task parallelism via single-message tool calling
Significant performance gains for complex codebase analysis

使用场景

Running adversarial verification subagents for thorough code validation
Analyzing multiple independent modules or directories simultaneously
Conducting concurrent security, performance, and architecture reviews

关于

主要功能

64 GitHub stars
Integrated TodoWrite status tracking for concurrent tasks
Automated result synthesis for unified reporting
Directory-based and perspective-based execution patterns
Multi-task parallelism via single-message tool calling
Significant performance gains for complex codebase analysis

使用场景

Running adversarial verification subagents for thorough code validation
Analyzing multiple independent modules or directories simultaneously
Conducting concurrent security, performance, and architecture reviews