EARS (Easy Approach to Requirements Syntax) is a template-based approach to writing better natural language requirements, reducing ambiguity and inconsistency in technical documentation.

Why use EARS instead of free-form text?

EARS provides a structured logic that makes requirements easier to understand, test, and implement, preventing common development bugs caused by miscommunication or vague specifications.

Can I convert existing notes to EARS format?

Yes, this skill can analyze informal requirement notes and automatically map them to the appropriate EARS pattern, such as State-Driven, Event-Driven, or Unwanted Behavior.

How does this skill help with 'SHALL' statements?

It strictly enforces the use of the 'SHALL' keyword in the active voice, ensuring requirements represent mandatory, measurable system behaviors rather than passive or optional suggestions.

EARS Requirements Authoring

Name: EARS Requirements Authoring
Author: melodic-software

bymelodic-software

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开发者工具

Standardizes software requirements using the Easy Approach to Requirements Syntax (EARS) to eliminate ambiguity and improve testability.

关于

This skill empowers Claude to author, convert, and validate software requirements using the industry-standard EARS pattern framework. By enforcing specific syntactical structures like WHILE for state-driven or WHEN for event-driven behaviors, it ensures that every requirement is precise, testable, and written in the active voice. It provides a clear decision tree for selecting the correct pattern for any system behavior—ranging from ubiquitous functions to complex conditional logic—reducing semantic confusion and helping teams create professional-grade technical specifications.

主要功能

Real-time validation against EARS syntax rules
Anti-pattern detection for ambiguous or untestable requirements
Automated EARS pattern template generation
Conversion of informal notes into formal SHALL statements
Pattern selection decision tree for requirements logic
12 GitHub stars

使用场景

Ensuring technical documentation follows systems engineering best practices
Drafting clear functional specifications for complex systems
Refactoring legacy documentation into structured, testable requirements

关于

主要功能

Real-time validation against EARS syntax rules
Anti-pattern detection for ambiguous or untestable requirements
Automated EARS pattern template generation
Conversion of informal notes into formal SHALL statements
Pattern selection decision tree for requirements logic
12 GitHub stars

使用场景

Ensuring technical documentation follows systems engineering best practices
Drafting clear functional specifications for complex systems
Refactoring legacy documentation into structured, testable requirements