Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency,…
Plugin: kochetkov-ma/claude-brewcode Text Optimizer 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 Examples: /text-optimize prompt.md # single file, medium mode (default) /text-optimize -d agents/ # deep mode — all .md files in directory Skill text is written for LLM consumption and optimized for token efficiency.
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