clarify

Analyze and rewrite confusing interface text for clarity.

Updated May 17, 2025
One-click install
npx skills add https://github.com/elwa2/portfolio --skill clarify-elwa2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clarify
Source: https://github.com/elwa2/portfolio/tree/main/open-source-tools/.agents/skills/clarify
Command: npx skills add https://github.com/elwa2/portfolio --skill clarify-elwa2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of unclear or confusing interface text, helping designers and developers craft better user-facing copy to reduce errors and frustration.

Core Features & Use Cases

  • Assessment and Identification: Detects jargon, ambiguity, passive voice, and missing context in user interface copy.
  • Copy Optimization: Provides improved, concise, and human-friendly alternatives for labels, error messages, buttons, and help texts.
  • Use Case: A product team reviews their error messages and instantaneously receives clearer, more helpful versions to improve user understanding and satisfaction.

Quick Start

Command the AI to identify and suggest improvements for unclear interface text in the application.

Frequently Asked Questions about clarify

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

FAQPage Schema
How do I improve unclear UX microcopy and error messages in my interface?

To improve unclear UX microcopy and error messages, you can analyze existing interface text to detect jargon, ambiguity, and passive voice, then rewrite it into concise, human-friendly alternatives that help users understand and act accordingly.

What is the best way to rewrite confusing interface text for better usability?

The best way to rewrite confusing interface text for usability is to identify missing context and replace it with optimized, targeted copy for labels, buttons, and help texts that reduces user frustration and errors.

Can I use this to fix ambiguous UX copy for labels and help texts?

Yes, you can use this to fix ambiguous UX copy by assessing labels, buttons, and help texts, providing concise and human-friendly alternatives that improve user understanding and satisfaction.

Do I need a specific language model to analyze and optimize user interface copy?

You need language models capable of natural language refinement and analysis to effectively assess and optimize your user interface copy, as the process relies on deep language understanding to detect ambiguity and suggest improvements.

What types of UX copy issues should I look for before optimizing interface text?

Before optimizing interface text, you should look for UX copy issues including jargon, ambiguity, passive voice, and missing context, which all contribute to confusing user experiences and increased frustration.