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token-compression

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Cut AI token costs with 5-layer compression

Software Engineering#performance#context#optimization#pipeline#coding#compression#token
AuthorJNZader
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Reduces context token usage in lengthy AI coding sessions by compressing the active context through a deterministic, multi-layer pipeline.

Core Features & Use Cases

  • 5-layer compression pipeline that is deterministic and composable.
  • Reduces token budget by preserving essential code semantics while removing redundancy.
  • Use case: when large code bases or long sessions push context windows towards limits, apply compression to reclaim tokens before critical operations.

Quick Start

Instruct the AI to compress the current session's context using the 5-layer pipeline.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: token-compression
Download link: https://github.com/JNZader/javi-ai/archive/main.zip#token-compression

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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