Optimizes text, prompts, and documentation for LLM token efficiency. Applies 52 research-backed rules across 8 categories: Claude behavior, token efficiency, structure, deduplication, reference integrity, perception, LLM comprehension, and aggressive lossy (deep only). Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.
安装
尚未确认此技能的独立目录。下面命令会打开仓库技能选择器，请按上游说明选择技能。
skills CLI
npx skills add kochetkov-ma/claude-brewcode