google-image-search

The 'google-image-search' skill enables users to search and download images from the Google Custom Search API, utilizing an intelligent scoring system and LLM-powered image selection. This tool is designed to assist in finding relevant visuals for a wide range of applications such as articles, research papers, presentations, and Obsidian notes. By leveraging the power of machine learning models, the skill enhances the search process by selecting the best images based on contextual relevance and other scoring criteria like resolution, file size, and preferred sources.

Key features of the skill include single query image search, batch processing for multiple queries, automatic JSON config generation from plain text lists, and Obsidian note enrichment with automatic image insertion. Users can easily configure the tool to perform tasks such as finding images for specific terms, processing multiple queries simultaneously, and enriching existing notes with images. The LLM selection process further ensures that the best images are chosen based on their relevance, resolution, and file attributes, making it ideal for both individual and bulk image search needs.

The skill is particularly useful for writers, researchers, and content creators looking to add relevant images to their work. Whether you’re enhancing a presentation with visuals or enriching Obsidian notes, this tool streamlines the process by automating the search and integration of images. Additionally, batch processing and the ability to generate search configurations from simple text lists make it suitable for large-scale content creation projects, saving time and improving productivity for anyone involved in document or note-based work.