What is the benefit of INVEST criteria in this skill?

By following INVEST criteria, the skill ensures that stories are small, independent, and valuable, making them ready for immediate sprint planning.

Can I export the stories to other tools?

Yes, the skill outputs a structured JSON file that can be easily mapped and imported into project management software like Jira, Linear, or Trello.

Can I control how many stories are created?

Yes, you can use the --max_stories argument to limit the number of user stories generated from a single Epic file.

What input format does the Agile Epic Decomposer require?

The skill requires a standard Markdown (.md) file containing your Epic or high-level project requirements.

Does this skill generate acceptance criteria?

Yes, it automatically analyzes the Epic to generate meaningful, testable acceptance criteria for every user story it produces.

Agile Epic Decomposer

Name: Agile Epic Decomposer
Author: epieczko

byepieczko

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협업 도구

Decomposes high-level Markdown Epics into structured, actionable User Stories using NLP and INVEST criteria.

Agile Epic Decomposer is a specialized skill designed to streamline project planning by automatically transforming complex Markdown-based Epic documents into granular user stories. By analyzing document structure and intent, it identifies major deliverables and categorizes them by persona or capability. The skill ensures every generated story is high-quality by adhering to INVEST principles (Independent, Negotiable, Valuable, Estimable, Small, Testable) and provides a structured JSON output complete with personas, goals, benefits, and clear acceptance criteria for immediate use in project management workflows.

주요 기능

01Automated parsing of Markdown Epics to extract core requirements

02NLP-driven identification of user personas and distinct deliverables

030 GitHub stars

04Standardized JSON output containing goals, benefits, and metadata

05Generation of detailed acceptance criteria for every user story

06Customizable story limits to control backlog granularity

사용 사례

01Standardizing user story formats across distributed engineering teams

02Rapidly populating a project backlog from initial discovery documents

03Breaking down complex feature requirements into testable, independent units

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add epieczko/betty epic.decompose

For use in Claude.ai and ChatGPT

Download Skill