ears-requirements

Generate EARS specifications from unstructured text, design documents, user stories, or codebases.

Updated Oct 11, 2025
One-click install
npx skills add https://github.com/bromanko/llm-agents --skill ears-requirements-bromanko
Or copy as Structured Prompt for Agentβ–Ό
Please help me install this Agent Skill.
Skill: ears-requirements
Source: https://github.com/bromanko/llm-agents/tree/main/skills/ears-requirements
Command: npx skills add https://github.com/bromanko/llm-agents --skill ears-requirements-bromanko

SYSTEM DOCUMENTATION & REQUIREMENTS

πŸ’‘ This Skill includes references (resource) components.

What problem does it solve?

This Skill transforms informal plans, user stories, or code into structured, unambiguous, and testable EARS (Easy Approach to Requirements Syntax) specifications, ensuring clarity and verifiability in software development.

Core Features & Use Cases

  • EARS Specification Generation: Converts various input formats (plans, stories, code) into precise EARS requirements.
  • Ambiguity Reduction: Eliminates vagueness and ensures requirements are measurable.
  • Testability Enhancement: Directly maps requirements to verification criteria, streamlining QA.
  • Use Case: You have a product manager's notes describing a new feature. Use this Skill to generate a set of EARS requirements that developers and testers can immediately work with, ensuring everyone understands the expected behavior and how to test it.

Quick Start

Use the ears-requirements skill to generate EARS specifications from the provided design document.

Frequently Asked Questions about ears-requirements

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

FAQPage Schema
How do I convert user stories into testable requirements?β–Ό

EARS requirements generation transforms unstructured text, user stories, or codebases into structured EARS specifications, reducing ambiguity and ensuring each requirement is measurable and directly verifiable for QA.

What is the best way to write unambiguous software specifications from design documents?β–Ό

Writing unambiguous software specifications from design documents is best handled by applying EARS patterns to eliminate vagueness, classifying requirements, and mapping them directly to verification criteria for improved software quality.

Can I generate EARS requirements from an existing codebase?β–Ό

Yes, you can generate EARS requirements from an existing codebase by analyzing the code and applying defined EARS syntax patterns and quality rules to produce precise, testable specifications.

How does EARS syntax handle ambiguity in software requirements?β–Ό

EARS syntax handles ambiguity in software requirements by applying defined patterns and quality rules to unstructured text, eliminating vagueness and ensuring requirements are measurable and verifiable.

Do I need structured input to generate EARS specifications?β–Ό

No, you do not need structured input to generate EARS specifications, as the process accepts unstructured text, informal plans, user stories, and existing codebases to produce precise requirements.