If your Claude conversations are bumping up against token limits, this gives you practical patterns to compress them without losing critical context. The progressive compression approach is smart: do nothing until 70% capacity, light cleanup at 85%, aggressive summarization at 95%. You'll find concrete code for LangChain integration, custom compressors, and prompt caching that can cut costs by 90%. The compression ratios are realistic (5-10x for most cases, up to 20x with hierarchical methods) and they're honest about the 2% accuracy tradeoff. Best for long-running support chats or coding sessions, not worth the complexity if your conversations stay under 10 turns.
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill session-compression