How does this skill help with cost and resource management?

By assigning specific complexity levels (Simple, Standard, Complex), it directs tasks to the most appropriate Claude model—Haiku, Sonnet, or Opus—optimizing performance and cost.

Does this skill support role-based task assignment?

Yes, it provides a structured mapping system to assign tasks to specific roles such as frontend, backend, test, devops, or security based on the task focus.

What is the recommended size for a decomposed task?

Ideally, a single task should involve changes to 1-3 files, take approximately 10-30 minutes to complete, and be independently testable.

What is hybrid task decomposition?

It is a strategy that combines plan-based extraction from Markdown headers with semantic analysis of files and dependencies to create highly granular, actionable tasks.

Task Decomposition Strategy

Name: Task Decomposition Strategy
Author: mnthe

bymnthe

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Collaboration Tools

Optimizes project management by breaking down complex coding goals into granular, role-specific tasks for efficient parallel execution.

About

The Task Decomposition Strategy skill provides a comprehensive framework for planning teamwork-oriented projects within Claude Code by utilizing hybrid decomposition strategies. It ensures high-quality output through precise task granularity rules, automated role assignment, and model-specific complexity assessment. By transforming high-level architecture into actionable, independently testable units, this skill minimizes dependencies and maximizes worker efficiency, whether you are starting from a detailed implementation plan or raw project requirements.

Key Features

Best practice patterns to eliminate vague or broad task definitions
Hybrid decomposition using plan-based and semantic strategies
Automated role assignment for frontend, backend, and DevOps
2 GitHub stars
Resource optimization through three-tier complexity assessment
Standardized granularity rules (1-3 files per task)

Use Cases

Converting a project roadmap document into a structured task list for multiple AI workers
Refining monolithic feature requests into granular, independently testable sub-tasks
Optimizing API usage by matching task complexity with appropriate Claude models

About

Key Features

Best practice patterns to eliminate vague or broad task definitions
Hybrid decomposition using plan-based and semantic strategies
Automated role assignment for frontend, backend, and DevOps
2 GitHub stars
Resource optimization through three-tier complexity assessment
Standardized granularity rules (1-3 files per task)

Use Cases

Converting a project roadmap document into a structured task list for multiple AI workers
Refining monolithic feature requests into granular, independently testable sub-tasks
Optimizing API usage by matching task complexity with appropriate Claude models