Query Google Custom Search API to fetch and embed relevant images.
npx skills add https://github.com/pinion05/skills --skill google-image-search
Please help me install this Agent Skill. Skill: google-image-search Source: https://github.com/pinion05/skills/tree/main/google-image-search Command: npx skills add https://github.com/pinion05/skills --skill google-image-search
This Skill automates the process of finding and embedding relevant images for articles, presentations, research, or Obsidian notes, saving time and improving visual quality.
Run a simple query to fetch 5 images and save them to a local directory: python3 ~/.claude/skills/google-image-search/scripts/google_image_search.py --query "neural interface wearable" --output-dir ./images --num-results 5
High-intent search queries and answers about installing and using this skill.
Automating image search for Obsidian notes involves querying the Google Custom Search API and using an LLM to select relevant visuals. This process inserts image embeds below headings and manages attachments automatically.
Before automating image discovery, you need a Google Custom Search API key and CX, plus an OpenRouter API key for LLM-based selection. Credentials must be stored in a .env file with the llm CLI installed.
Yes, you can batch process image searches by executing queries for multiple terms from a JSON config. You can also generate the JSON search config from plain terms using an LLM to reduce manual setup.
LLM-based selection for note enrichment works by scoring and selecting top images fetched via Google Custom Search API. The AI evaluates relevance to ensure articles and notes receive appropriate visual context.
The best way to source visuals for presentations is running a Python script that queries Google Custom Search and uses AI-assisted selection. This fetches and saves top images to a local directory automatically.
Limitations of using Google Custom Search for image curation include dependency on external API quotas and the necessity of the llm CLI at a specific path. Results require LLM scoring to ensure visual relevance.
glebisSearch and rank images via Google Custom Search API with LLM scoring.
zhbonerCreate and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, and frontmatter properties.
KISHOR403Searches Google Custom Search API for images and returns metadata.
Snowflake-LabsA concise summary of your roleplay character: name,</name> personality, and/or behavior, formatted as a single string sentence. Typically不超过50字，此处省略
