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map-reduce

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Coordinate large-scale batch tasks with Map-Reduce.

Data & Analytics#automation#codebase#data-analysis#batch-processing#parallel-processing#map-reduce
AuthorElliotJLT
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a structured pattern for processing large collections of items by splitting work into a Map phase and then reducing results, enabling scalable batch operations.

Core Features & Use Cases

  • Map Phase: Split work into items and apply a per-item operation in parallel.
  • Reduce Phase: Aggregate per-item results into a final summary or report.
  • Use Case: Analyze an entire codebase to compute per-file statistics (lines, functions, complexity) and produce a codebase report.

Quick Start

Define a Map-Reduce Job: map-reduce job name. Input: specify the collection of items. Map function: the per-item operation. Reduce function: the aggregation/summary operation. Then execute to obtain the final results.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: map-reduce
Download link: https://github.com/ElliotJLT/Claude-Skill-Potions/archive/main.zip#map-reduce

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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