bykochetkov-ma· 28 skills
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.
$npx -y skills add kochetkov-ma/claude-brewcode --skill text-optimizerInstalls into the current project.
Run `npx skills use "https://github.com/kochetkov-ma/claude-brewcode" --skill "kochetkov-ma/claude-brewcode/text-optimizer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/kochetkov-ma/claude-brewcode" that are relevant to the current task. Run `npx skills add "https://github.com/kochetkov-ma/claude-brewcode"` and select the relevant skills, then follow their instructions.