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batching-patterns

Batch related operations into single messages for parallel workflow execution.

7|4|Updated Feb 26, 2026
Search Tags:#performance#optimization#orchestration#parallel#batching#golden-rule
One-click install
npx skills add https://github.com/MadAppGang/magus --skill batching-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: batching-patterns
Source: https://github.com/MadAppGang/magus/tree/main/plugins/multimodel/skills/batching-patterns
Command: npx skills add https://github.com/MadAppGang/magus --skill batching-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the performance bottleneck caused by sequential execution of operations, enabling faster and more efficient workflows by batching related tasks.

Core Features & Use Cases

  • Parallel Execution: Groups multiple independent operations (like agent tasks, file reads, or searches) into a single message for concurrent processing.
  • Reduced Latency: Minimizes API round-trip overhead by consolidating operations, leading to significant speedups.
  • Use Case: Instead of running five separate code review agents one after another, batch them into a single message to execute in parallel, reducing the total review time from 10 minutes to around 3 minutes.

Quick Start

Batch all related operations into a single message for maximum parallelism and performance.

Frequently Asked Questions about batching-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run multiple parallel operations in a single API call to reduce latency?▼

To run parallel operations in a single API call, batch all related operations into one message. This leverages concurrent execution instead of sequential bottlenecks, minimizing API round-trip overhead and significantly reducing overall latency.

What is the golden rule for batching related tasks to maximize performance?▼

The golden rule for batching tasks is 1 MESSAGE = ALL RELATED OPERATIONS. Grouping independent operations like file reads or searches into a single message maximizes parallelism and improves workflow performance.

How do I avoid sequential execution bottlenecks when launching multiple agents?▼

Avoid sequential execution bottlenecks by batching multiple agent launches into a single message. This enables concurrent processing, reducing total execution time from minutes to seconds compared to running agents one after another.

Can I batch parallel searches and file reads for workflow optimization?▼

Yes, you can batch parallel searches and file reads for workflow optimization. Grouping these independent operations into a single message allows them to execute concurrently, minimizing API round-trip overhead and maximizing performance.

What is the best way to optimize parallel execution and reduce API round-trip overhead?▼

The best way to optimize parallel execution is consolidating related operations into a single message. This batching pattern minimizes API round-trip overhead and leverages concurrent processing for maximum performance.

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