llm-reader transforms webpages into LLM-friendly text, streamlining data extraction for AI applications. Ideal for RAG and web scraping, it simplifies the process of extracting images and links, enhancing your AI capabilities.
claude install m92vyas/llm-readerllm-reader transforms webpages into LLM-friendly text, streamlining data extraction for AI applications. Ideal for RAG and web scraping, it simplifies the process of extracting images and links, enhancing your AI capabilities.
Extracting text from product pages for analysis
Gathering data from competitor websites
Automating content generation from web sources
Scraping images for training AI models
claude install m92vyas/llm-readergit clone https://github.com/m92vyas/llm-readerCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Transform the webpage at [URL] into LLM-friendly text for [COMPANY] in the [INDUSTRY]. Include all relevant images and links, focusing on extracting key information from the content.
# Webpage Summary: Key Insights from Example.com ## Main Points - **Service Overview**: Example.com offers a range of digital marketing services tailored for small businesses. - **Target Audience**: Primarily aimed at startups and local businesses looking to enhance their online presence. ## Images -  ## Useful Links - [Learn More About Our Services](https://example.com/services) - [Contact Us](https://example.com/contact) This summary provides an LLM-friendly format that highlights essential details while retaining the context of the original webpage, making it easy for AI applications to process.
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