task-decomposer

Decompose high-level scope into atomic tasks with acceptance criteria and dependencies.

Updated May 5, 2026
One-click install
npx skills add https://github.com/shakhovskiya-create/shakhoff-claude-marketplace --skill task-decomposer-shakhovskiya-create
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: task-decomposer
Source: https://github.com/shakhovskiya-create/shakhoff-claude-marketplace/tree/main/plugins/ai-scrum/skills/task-decomposer
Command: npx skills add https://github.com/shakhovskiya-create/shakhoff-claude-marketplace --skill task-decomposer-shakhovskiya-create

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Decomposes high-level scope into precise, atomic tasks with acceptance criteria (AC), DoR, test approach, and dependencies to enable reliable sprint planning.

Core Features & Use Cases

  • Greenfield decomposition: derive atomic tasks from scope text using ai-scrum algorithm.
  • Enrichment mode: integrate imported external plan as knowledge input while still applying our decomposition algorithm and producing ai-scrum-standard tasks.
  • Output structured task definitions with AC, DoR, test approach, effort, dependencies, and external references for sprint planning.

Quick Start

Decompose the provided scope into atomic tasks using ai-scrum rules and generate an actionable task plan.

Frequently Asked Questions about task-decomposer

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

FAQPage Schema
How do I decompose high-level scope into atomic, testable tasks for sprint planning?

Scope decomposition breaks high-level input into atomic tasks using an ai-scrum algorithm, producing definitions of ready, acceptance criteria, test approaches, dependencies, and effort estimates for reliable sprint planning.

What is the difference between greenfield decomposition and enrichment mode for task planning?

Greenfield decomposition derives atomic tasks directly from plain scope text, while enrichment mode integrates an imported external plan as knowledge input before applying the same decomposition algorithm to produce standard tasks.

How do I generate acceptance criteria and definitions of ready for agile user stories?

Generate definitions of ready and acceptance criteria by processing scope through an ai-scrum decomposition algorithm, which structures each atomic task with test approaches and validated dependencies.

Can I import an external plan and still apply ai-scrum rules to generate structured tasks?

Yes, you can import an external plan using enrichment mode, which integrates the plan data as knowledge input while still applying the ai-scrum decomposition algorithm to produce standardized task definitions.

How are inter-task dependencies validated when decomposing scope into sprints?

Inter-task dependencies are validated during the decomposition process, ensuring structural integrity before grouping the atomic tasks with their effort estimates into actionable sprints for planning.

What inputs do I need to provide for agile scope decomposition?

Required inputs include a scope description and context snapshot for greenfield mode, or imported plan data for enrichment mode, enabling the algorithm to generate structured tasks and a plan file.