reading-scribbles

Extract user intent from annotated photos by interpreting scribbles.

Updated Jul 7, 2026
One-click install
npx skills add https://github.com/MakingThingsWorkToronto/visual-brainstorm --skill reading-scribbles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reading-scribbles
Source: https://github.com/MakingThingsWorkToronto/visual-brainstorm/tree/main/.agents/skills/reading-scribbles
Command: npx skills add https://github.com/MakingThingsWorkToronto/visual-brainstorm --skill reading-scribbles

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill reads annotated photos and extracts user intent from the scribbles made on them, using that intent as the basis for brainstorming sessions.

Core Features & Use Cases

  • Annotated Photo Analysis: Identifies and interprets marks like arrows, boxes, highlights, pen strokes, and text notes.
  • User Intent Extraction: Converts visual cues into actionable intent, allowing the brainstorming process to focus on the user's specific thoughts and directions.
  • Use Case: Ideal for product designers who want to capture user feedback visually on screenshots or prototypes, using this Skill to interpret the user's intent and facilitate the design process.

Quick Start

Load the 'reading-scribbles' Skill and provide the path to an annotated photo. The Skill will interpret the scribbles and present the extracted intent for your next brainstorming round.

Frequently Asked Questions about reading-scribbles

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

FAQPage Schema
How do I extract user intent from annotated photos with scribbles and highlights?

To extract user intent from annotated photos, analyze visual cues like arrows, boxes, highlights, pen strokes, and text notes. This process interprets scribbles to provide actionable insights that focus user-centric brainstorming and product design iterations.

What is annotated photo analysis for product design and brainstorming?

Annotated photo analysis identifies and interprets marks like arrows, boxes, and text notes on screenshots or prototypes. It converts visual feedback into actionable user intent, enabling product designers to facilitate design thinking and guide creative discussions.

How do I interpret user feedback from pen strokes and arrows on prototype screenshots?

Interpreting user feedback from pen strokes and arrows involves analyzing these visual scribbles to understand specific user directions. This visual analysis converts annotated cues into structured intent, helping guide subsequent brainstorming rounds and design iterations.

Can I use extracted user intent to guide design thinking and brainstorming sessions?

Yes, you can use extracted user intent to guide design thinking and brainstorming sessions. By interpreting annotated photo scribbles, the extracted intent focuses creative discussions directly on user thoughts, driving targeted product design iterations.

What is the best way to capture visual feedback from user annotated prototypes?

The best way to capture visual feedback is by analyzing annotated photos containing scribbles, highlights, and text notes. This approach extracts precise user intent from the visual cues, establishing a solid basis for user-centric product design brainstorming.