llm-min.txt: Min.js-Style Compression for LLM Contexts

llm-min.txt tackles the knowledge cutoff problem in LLMs, where AI coding assistants lack access to recent programming library updates. It uses a min.js-like approach, leveraging another AI to distill verbose technical documentation into a super-concise, structured summary. Employing the Structured Knowledge Format (SKF), it organizes information into three core sections (Definitions, Interactions, Usage Patterns), achieving up to 97% token reduction while preserving essential information for AI assistants. llm-min.txt utilizes Google's Gemini AI model and offers command-line and Python API usage.