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visual-keywords

Generate dense lowercase keyword strings from images for fuzzy search indexing.

7|Updated Dec 17, 2025
Search Tags:#composition#keywords#aesthetics#visual#searchability#fuzzy-search#image-tagging
One-click install
npx skills add https://github.com/nweii/agent-stuff --skill visual-keywords
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: visual-keywords
Source: https://github.com/nweii/agent-stuff/tree/main/skills/visual-keywords
Command: npx skills add https://github.com/nweii/agent-stuff --skill visual-keywords

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Visual assets often sit in cluttered libraries with inconsistent naming, making it hard to quickly locate relevant images or media. This Skill generates a dense, machine-friendly keyword string that enables fast fuzzy search and reliable recall without describing the image in prose.

Core Features & Use Cases

  • Comprehensive Visual Analysis: identifies subjects, mood, color palette, composition, and stylistic cues to produce robust keywords.
  • Versatile Asset Tagging: suitable for photos, UI screenshots, typography samples, and design illustrations to improve indexing.
  • Use Case: tag a photo library for quick retrieval by keywords like mood, color, and subject.

Quick Start

Provide a dense, concise keyword string for the uploaded image to improve fuzzy search.

Frequently Asked Questions about visual-keywords

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

FAQPage Schema
How do I generate keywords for images to improve fuzzy search?▼

To generate keywords for image fuzzy search, analyze visual assets to extract subjects, mood, color, composition, and style into a concise, lowercase keyword string for indexing.

Can I tag UI screenshots and typography samples for visual search?▼

Yes, you can tag UI screenshots and typography samples. The process identifies stylistic cues and compositional elements to produce robust keywords for asset indexing.

What is the best way to index a photo library by mood and color?▼

The best way to index a photo library by mood and color is generating a dense, machine-friendly keyword string covering visual properties, enabling fast retrieval without prose descriptions.

Does visual keyword generation work for design illustrations?▼

Yes, visual keyword generation works for design illustrations. It analyzes subjects, color palettes, and techniques to output a single keyword string suitable for retrieval pipelines.

Why use a keyword string instead of a prose description for image retrieval?▼

A dense keyword string replaces prose descriptions to provide machine-friendly indexing, ensuring reliable recall and fast fuzzy search across cluttered visual asset libraries.

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