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swarm-map-reduce

Orchestrate map-reduce operations for parallel data processing and result consolidation.

5|Updated Mar 11, 2026
Search Tags:#parallel processing#data aggregation#distributed computing#task orchestration#map-reduce#codebase audit
One-click install
npx skills add https://github.com/ben-alkov/the_swarm --skill swarm-map-reduce
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: swarm-map-reduce
Source: https://github.com/ben-alkov/the_swarm/tree/main/src/skills/swarm-map-reduce
Command: npx skills add https://github.com/ben-alkov/the_swarm --skill swarm-map-reduce

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates large-scale tasks by dividing them into smaller, manageable chunks that can be processed in parallel by multiple agents, with a dedicated agent to consolidate the results.

Core Features & Use Cases

  • Parallel Processing: Divides a large task into independent chunks for concurrent execution by "mapper" agents.
  • Result Consolidation: A "reducer" agent merges the outputs from all mappers into a single, unified result.
  • Use Case: Auditing a large codebase by splitting the directories among several agents, then having a single agent compile all their findings into one comprehensive report.

Quick Start

Use the swarm-map-reduce skill to audit the codebase with the large-codebase-audit preset.

Frequently Asked Questions about swarm-map-reduce

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

FAQPage Schema
How does map-reduce parallel processing work for large-scale data analysis?▼

Map-reduce parallel processing splits input targets into independent chunks for concurrent execution by mapper agents, then uses a dedicated reducer agent to consolidate findings into a single unified result.

What is the best way to audit a large codebase using distributed computing?▼

Auditing a large codebase is best handled by partitioning directories among parallel mapper agents, then having a reducer agent compile all findings into one comprehensive report.

Can I manually split tasks for task orchestration instead of automatic partitioning?▼

You can manually split tasks for task orchestration using the manual splitting strategy, alongside by-directory and by-file-count strategies, providing flexible task partitioning for your specific needs.

When should I use parallel processing with a reducer for data aggregation?▼

You should use parallel processing with a reducer for data aggregation when automating large-scale tasks that need to be divided into smaller, manageable chunks for concurrent execution and consolidated results.

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