Style Learner is a specialized Claude Code skill designed to codify the specific 'voice' of an author, brand, or project. By combining quantitative feature extraction—measuring metrics like sentence variance, jargon density, and punctuation patterns—with qualitative exemplar selection, it creates a structured style guide. This allows teams to ensure that AI-generated documentation, blog posts, and technical guides maintain a consistent, human-like tone that aligns perfectly with existing content standards. It is particularly useful for projects requiring high-quality technical writing where maintaining a specific persona or professional level is critical.
主な機能
01Automated generation of structured YAML/Markdown style profiles
02Detailed punctuation and structural pattern profiling for technical content
03Validation framework to test generated content against the learned profile
04Quantitative feature extraction including vocabulary metrics and sentence length variance
05130 GitHub stars
06Qualitative exemplar selection to capture specific rhythmic and tonal nuances
ユースケース
01Generating new blog content that matches the tone of a specific historical archive
02Establishing a unified brand voice across collaborative open-source documentation
03Learning a lead developer's writing style to maintain consistency in technical manuals