What is the minimum text required for Style Learner to work?

For optimal results, it is recommended to provide at least 1,000 words of exemplar text across multiple samples to ensure the analysis captures consistent patterns rather than stylistic outliers.

What format is the resulting style guide?

The skill generates a comprehensive Style Profile in a structured format (usually YAML or Markdown) that can be saved and referenced in future prompts to guide Claude's output.

How does this differ from the slop-detector skill?

While slop-detector focuses on identifying and removing generic AI writing markers, Style Learner is a generative tool that builds a positive profile to emulate a specific, desired human style.

Can I use this for technical API documentation?

Yes, Style Learner includes structural metrics like code block frequency, list ratios, and header depth, making it ideal for matching existing technical documentation frameworks.

Style Learner

Name: Style Learner
Author: athola

byathola

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130

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콘텐츠 관리

Analyzes and extracts unique writing patterns from example texts to generate consistent style profiles for AI-generated content.

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.

주요 기능

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

사용 사례

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

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add athola/claude-night-market style-learner

For use in Claude.ai and ChatGPT

Download Skill