What is session compression in AI?

Session compression involves techniques like summarization and embedding-based retrieval to condense long AI conversations, allowing them to fit within context windows while saving on token costs.

When is the best time to apply compression?

Industry standards suggest applying light compression at 70% context usage and moving to aggressive hierarchical summarization or RAG-based archival when usage exceeds 95%.

How much can I save on token costs using this skill?

By implementing hierarchical summarization and utilizing Anthropic prompt caching as detailed in this skill, developers can achieve between 80-90% savings on input token costs.

Does session compression affect the accuracy of the AI?

Advanced techniques like those provided in this skill typically result in less than 2% accuracy loss, though some detail is naturally lost during the summarization process.

AI Session Compression

Name: AI Session Compression
Author: bobmatnyc

bybobmatnyc

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データサイエンスとML

Optimizes multi-turn AI conversations by reducing token usage through advanced summarization and context management techniques.

概要

This skill provides specialized implementation patterns to manage long-running AI sessions that would otherwise exceed standard context windows. By utilizing hierarchical summarization, extractive and abstractive compression, and progressive disclosure strategies, it helps developers reduce token costs by up to 95% while maintaining critical information. It is an essential resource for building scalable AI assistants, long-term coding agents, and high-volume customer support bots where historical context is vital but must be managed efficiently.

主な機能

Progressive compression thresholds (70%, 85%, 95%)
Semantic deduplication of redundant messages
Anthropic prompt caching integration for 90% cost reduction
Hierarchical memory management for 1M+ token conversations
2 GitHub stars
Extractive and abstractive summarization implementations

ユースケース

Building long-running AI coding assistants that track multi-day development history
Optimizing customer support chatbots with extensive multi-session ticket context
Reducing latency and API costs in high-volume production AI applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bobmatnyc/terminator toolchains-ai-techniques-session-compression

For use in Claude.ai and ChatGPT

Download Skill

GitHub

概要