vision-enrich
CommunityOptimize visual data extraction for research insights.
AuthorLittleSongxx
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps researchers determine when extracting and analyzing web images adds sufficient value to justify the token cost, especially for visually dense research domains.
Core Features & Use Cases
- Visual Decision Framework: Determines whether images should be extracted based on visual information density.
- Cost/Benefit Analysis: Evaluates the cost and benefit of visual data extraction.
- Use Case: When researching financial data, it helps decide whether to extract charts and graphs that provide critical insights.
Quick Start
Load the vision-enrich skill when researching visually dense domains like financial analysis or scientific research, and use the extract_web_images tool to decide if images should be extracted.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: vision-enrich Download link: https://github.com/LittleSongxx/SoulSearcher/archive/main.zip#vision-enrich Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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