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Found 4 Skills
Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Use when reviewing or improving content quality, preventing generic AI patterns, cleaning up existing content, or enforcing quality standards in writing, code, or design work.
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.
Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.
Compress natural language memory files (CLAUDE.md, todos, settings) into "primitive human" format to reduce input tokens. Fully retain technical content, code, URLs, and structure. The compressed version overwrites the original file, and the human-readable version is saved as FILE.original.md. Trigger with `/genshijin-compress <filepath>` or requests like "memory file compression".