Does this work with subagents?

Yes, this skill is specifically designed to manage multiple subagents efficiently, allowing you to spawn several agents for different modules or analysis types in one go.

Why must parallel tasks be in a single message?

Claude processes tool calls in separate messages sequentially. By placing multiple tool calls in a single assistant message, the system can trigger them simultaneously, enabling true parallelism.

How does this skill improve performance?

If you have 5 independent tasks that take 30 seconds each, sequential execution takes 150 seconds. Parallel execution runs them all at once, finishing the entire set in roughly 30 seconds.

When should I avoid using parallel execution?

Avoid parallel execution when tasks have dependencies (e.g., Task B requires output from Task A), when they modify the same file simultaneously, or when specific execution order is required.

Parallel Execution

Name: Parallel Execution
Author: CloudAI-X

byCloudAI-X

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147

Productivity & Workflow

Enables simultaneous multi-task tool execution within a single message to maximize workflow throughput and reduce latency.

About

The Parallel Execution skill optimizes AI agent workflows by teaching Claude how to launch multiple independent tasks concurrently rather than sequentially. By bundling multiple task calls into a single assistant message, this skill dramatically reduces total execution time—often achieving speedups of 3x to 10x depending on the number of tasks. It provides standardized patterns for directory-based analysis, perspective-based reviews, and adversarial verification, ensuring that complex subagent coordination remains efficient and organized.

Key Features

Synthesis patterns for combining parallel results
Automated TodoWrite status synchronization
Performance-optimized subagent coordination
Concurrent multi-task tool launching
Independent task identification logic
147 GitHub stars

Use Cases

Reviewing code from multiple perspectives like architecture, security, and test coverage at once
Analyzing multiple codebase directories simultaneously for security and performance
Running independent test suites, linters, and type checkers in parallel

About

Key Features

Synthesis patterns for combining parallel results
Automated TodoWrite status synchronization
Performance-optimized subagent coordination
Concurrent multi-task tool launching
Independent task identification logic
147 GitHub stars

Use Cases

Reviewing code from multiple perspectives like architecture, security, and test coverage at once
Analyzing multiple codebase directories simultaneously for security and performance
Running independent test suites, linters, and type checkers in parallel