prototype-feedback

Process prototype feedback into thematically organized insights across iterations.

13|4|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/henrique-simoes/Istara --skill prototype-feedback-henrique-simoes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prototype-feedback
Source: https://github.com/henrique-simoes/Istara/tree/main/skills/develop/prototype-feedback
Command: npx skills add https://github.com/henrique-simoes/Istara --skill prototype-feedback-henrique-simoes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Process prototype feedback into thematically organized insights across iterations.

Core Features & Use Cases

  • Plan and track feedback themes, severities, and screen references
  • Aggregate across iterations to show progression and areas of focus
  • Generate structured outputs like nuggets, facts, insights, and recommendations with confidence scores

Quick Start

Run the prototype-feedback skill on a set of prototype feedback data to categorize themes, severities, and screen references across iterations.

Frequently Asked Questions about prototype-feedback

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

FAQPage Schema
How do I organize user feedback into themes for UX design reviews?

To organize user feedback into themes during UX design reviews, this skill ingests prototype feedback data and categorizes it by themes, severities, and screen references. It processes inputs through a structured workflow to output actionable insights.

What is the best way to track prototype feedback across multiple iterations?

Tracking prototype feedback across multiple iterations is achieved by aggregating the feedback data to show progression and highlight areas of focus. The skill applies a plan, execute, validate, and report workflow to structure this data chronologically.

Can I generate UX research insights directly from stakeholder usability testing comments?

Yes, you can generate UX research insights from stakeholder usability testing comments. The skill processes this prototype feedback to produce structured nuggets, facts, insights, and recommendations complete with confidence scores.

How do I categorize prototype feedback by severity and screen references?

Categorizing prototype feedback by severity and screen references involves ingesting project files and capturing these specific attributes. The skill automatically triages the feedback to map issues directly to the relevant prototype screens.

Does processing prototype feedback require any specific file formats or dependencies?

Processing prototype feedback requires no specific dependencies or external components. You simply run the skill on your existing prototype feedback data to categorize themes, severities, and screen references across iterations.