msx:spec

Generate EARS-formatted specification documents for AI model changes.

Updated Mar 16, 2026

Search Tags:#specification #AI development #software documentation #EARS #requirement engineering

Ready to run

npx skills add https://github.com/xxyj/xx-ai-cli --skill msx-spec

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: msx:spec
Source: https://github.com/xxyj/xx-ai-cli/tree/main/.cursor/skills/msx-05-spec
Command: npx skills add https://github.com/xxyj/xx-ai-cli --skill msx-spec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation of EARS-formatted specification documents, streamlining the process of defining and documenting the content to be implemented for AI model changes.

Core Features & Use Cases

Automated Specification Generation: Generates structured specifications in EARS format for AI model changes.
Requirement Definition: Facilitates clear and unambiguous definition of functional requirements.
Acceptance Criteria Creation: Helps define verifiable criteria for change acceptance.
Use Case: For a developer creating a new feature in an AI model, this Skill can be used to generate a comprehensive specification document that outlines the requirements and acceptance criteria for the feature.

Quick Start

Run the command /msx:spec to generate a specification for the current change.

Frequently Asked Questions about msx:spec

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

FAQPage Schema

How do I generate EARS-formatted specifications for AI model changes?▼

To generate EARS-formatted specifications for AI model changes, you can use an automated specification generation tool that structures your feature definitions and acceptance criteria. This streamlines the requirement engineering process for software documentation.

What is the EARS syntax used for in requirement engineering?▼

EARS syntax is used in requirement engineering to define clear, unambiguous functional requirements and verifiable acceptance criteria. It provides a structured approach to specifying software changes, ensuring precise requirement definition for AI development workflows.

Do I need prior knowledge of EARS syntax to automate requirement definition?▼

Yes, you need a structured approach to defining requirements and an understanding of EARS syntax to effectively automate specification generation. This prerequisite knowledge ensures the software documentation accurately captures the intended AI model changes and acceptance criteria.

How do I define verifiable acceptance criteria for AI development features?▼

You define verifiable acceptance criteria for AI development features by applying EARS syntax to structure your requirement specifications. This automated approach helps create comprehensive software documentation outlining clear conditions for change acceptance.

What is the best way to document functional requirements for AI model updates?▼

The best way to document functional requirements for AI model updates is to generate structured EARS-formatted specifications. This ensures unambiguous requirement definition and facilitates the creation of verifiable acceptance criteria for software development workflows.