userstory

Extract user stories from UI screenshots using visual recognition and natural language processing.

Updated Mar 22, 2025
One-click install
npx skills add https://github.com/kuramapommel/til-cline --skill userstory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: userstory
Source: https://github.com/kuramapommel/til-cline/tree/main/.claude/skills/userstory
Command: npx skills add https://github.com/kuramapommel/til-cline --skill userstory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires image-processor, nlp-library, markdown-generator, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of extracting user stories from UI screenshots, saving developers valuable time and ensuring consistency in documentation.

Core Features & Use Cases

  • Story Extraction: Automatically generates user stories from screenshots of user interfaces.
  • Dialogue WorkFlow: Uses conversational interactions to refine and confirm extracted stories.
  • Output as Markdown: Stores user stories in a structured Markdown format for easy reference and integration.
  • Use Case: For a designer or product manager, use this Skill to convert a design mockup into a set of detailed user stories ready for development.

Quick Start

Run the /userstory command with the URL or file path to your UI screenshot, and let the Skill guide you through the process of extracting user stories.

Frequently Asked Questions about userstory

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

FAQPage Schema
How do I extract user stories from UI screenshots?

To extract user stories from UI screenshots, you run a command with the screenshot file path or URL. The Skill then uses visual recognition and natural language processing to interpret UI elements and automatically generate corresponding user stories.

How does natural language processing generate user stories from design mockups?

Natural language processing generates user stories from design mockups by interpreting visual UI elements and user dialogue within the image. It requires a robust AI model to analyze the screenshot and translate the visual components into actionable development tasks.

What is the best way to convert a UI screenshot into a structured Markdown format?

The best way to convert a UI screenshot into a structured Markdown format is to use an automation tool that extracts user stories via visual recognition. It stores the generated stories in Markdown for easy reference and integration into development workflows.

Can I refine extracted user stories through conversational interactions?

Yes, you can refine extracted user stories through conversational interactions. The extraction process uses a dialogue workflow that allows you to confirm and adjust the generated stories, ensuring accuracy before finalizing the Markdown output.

Do I need an image-processor dependency to extract user stories from screenshots?

Yes, you need an image-processor dependency to extract user stories from screenshots. The Skill relies on image-processor, nlp-library, and markdown-generator dependencies to accurately interpret UI visuals and output structured text.

When should I use automated UI extraction for user story generation?

You should use automated UI extraction for user story generation during the initial stages of software development. It is ideal when you have UI screenshots or design mockups and need to quickly convert them into detailed, consistent user stories ready for development.