google-image-search

Search and rank images via Google Custom Search API with LLM scoring.

345|52|Updated Oct 25, 2025

Search Tags:#batch processing #image search #note enrichment #google custom search #llm selection #obsidian integration

Ready to run

npx skills add https://github.com/glebis/claude-skills --skill google-image-search-glebis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: google-image-search
Source: https://github.com/glebis/claude-skills/tree/main/google-image-search
Command: npx skills add https://github.com/glebis/claude-skills --skill google-image-search-glebis

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Images are essential for clarity but finding relevant visuals is time-consuming and inconsistent. This skill automates the image search process using Google Custom Search API and an LLM-driven selection to surface high-quality visuals.

Core Features & Use Cases

Google Custom Search API image search with deterministic results
LLM-driven scoring and selection to surface the best image per topic
Batch config generation and note enrichment workflows for Obsidian notes
Generate image search configurations from plain terms for automation

Quick Start

Run a simple search like "neural interfaces" to fetch top images and generate an embed for your notes.

Frequently Asked Questions about google-image-search

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

FAQPage Schema

How do I automate image search and selection for my notes?▼

You can automate image search by using Google Custom Search API to fetch deterministic results and an LLM to score and select the best visuals for note enrichment. This approach surfaces high-quality images without manual browsing.

How does LLM-based scoring work for image search results?▼

LLM-based scoring evaluates images fetched via Google Custom Search API to rank and select the most suitable visual per topic. This mechanism ensures deterministic results are filtered for relevance and quality.

Do I need an API key to find images using Google Custom Search?▼

Yes, you need a Google Custom Search API key and CX to perform the image search. You also need access to an LLM via OpenRouter with a local llm executable for the selection process.

Can I batch process image searches for Obsidian notes?▼

Yes, you can generate batch configurations from plain terms to automate image search across multiple topics. This workflow specifically supports note enrichment for Obsidian notes.

What is the best way to generate image search configurations from plain terms?▼

You can generate image search configurations directly from plain terms to automate the fetching and embedding process. This allows you to quickly prepare visuals for articles and presentations.

Why use an LLM to select images instead of manual filtering?▼

Using an LLM for image selection automates the ranking of Google Custom Search results, saving time and ensuring consistent quality. It eliminates the inconsistency of manually finding relevant visuals.