task-parallelization

Community

Speed up batch work with safe parallelism

Authornsheaps
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Large batch and repetitive operations are slow and error-prone when executed sequentially; this Skill identifies opportunities to run independent units concurrently and prescribes safe concurrency levels to improve throughput without increasing failure risks.

Core Features & Use Cases

  • Guided Parallelization Levels: Clear five-level guidance from full sequential execution to aggressive parallelism with example task counts and when to apply each level.
  • Task Assessment Framework: Step-by-step method to break work into discrete units, evaluate independence, resource conflicts, and failure impact before choosing concurrency.
  • Execution Patterns & Templates: Batch grouping strategies, retry and failure handling procedures, and a reusable per-task prompt template for standalone Task agent calls.
  • Use Cases: Research and read-only analysis across many sources, bulk file edits that are independent, parallel code reviews, test execution across modules, and moderate-risk refactors with cautious batching.

Quick Start

Use the task-parallelization skill to break 12 independent file-edit tasks into three parallel batches at a suggested Level 2 concurrency.

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: task-parallelization
Download link: https://github.com/nsheaps/ai-mktpl/archive/main.zip#task-parallelization

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