Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.
Quickly install text-optimizer AI skill to your development environment via command line
Source: kochetkov-ma/claude-brewcode.
Reduces token count in prompts, docs, and agent instructions by 20–40% without losing meaning. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, LLM comprehension.
Benefits: cheaper API calls · faster model responses · clearer LLM instructions · fewer hallucinations
Skill text is written for LLM consumption and optimized for token efficiency.
Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality. Source: kochetkov-ma/claude-brewcode.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/kochetkov-ma/claude-brewcode --skill text-optimizerOptimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality. Source: kochetkov-ma/claude-brewcode.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/kochetkov-ma/claude-brewcode --skill text-optimizer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/kochetkov-ma/claude-brewcode