style-learner

# Style Learning Skill Extract and codify writing style from exemplar text for consistent application. ## Approach: Feature Extraction + Exemplar Reference This skill combines two complementary methods: 1. **Feature Extraction**: Quantifiable style metrics (sentence length, vocabulary complexity, structural patterns) 2. **Exemplar Reference**: Specific passages that demonstrate desired style Together, these create a comprehensive style profile that can guide content generation and editing. ## Required TodoWrite Items 1. `style-learner:exemplar-collected` - Source texts gathered 2. `style-learner:features-extracted` - Quantitative metrics computed 3. `style-learner:exemplars-selected` - Representative passages identified 4. `style-learner:profile-generated` - Style guide created 5. `style-learner:validation-complete` - Profile tested against new content ## Step 1: Collect Exemplar Text Gather representative samples of the target style. **Minimum requirements**: - At least 1000 words of exemplar text - Multiple samples preferred (shows consistency) - Same genre/context as target output ```markdown ## Exemplar Sources | Source | Word Count | Type | |--------|------------|------| | README.md | 850 | Technical | | blog-post-1.md | 1200 | Narrative | | api-guide.md | 2100 | Reference | ``` ## Step 2: Feature Extraction Load: `@modules/feature-extraction.md` ### Vocabulary Metrics | Metric | How to Measure | What It Indicates | |--------|----------------|------------...