| name | writing-style |
| description | Style analysis skill - analyzes, extracts, and applies writing style. Provides style sample analysis, quantitative metrics, style conflict detection, and content type adaptation. |
Writing Style
Overview
Standalone style analysis module:
- Analyze style samples - Extract writing style characteristics
- Quantitative metrics - Provide quantifiable style indicators
- Style conflict detection - Warn when gap between original and target style is too large
- Content type adaptation - Optimize style for different content types
Usage
/spencergo:writing-style
Or provide content directly:
- "Write in this style: {article}"
- "Analyze the style of: {content}"
1. Input Methods
| Type | Recognition | Processing |
|---|
| Direct paste | User copies text | Analyze directly |
| File path | Local path format | Read file |
| Repository | GitHub URL | Fetch and analyze |
Limits:
- Samples: 1-3 articles
- Length: 500-3000 chars recommended
2. Style Analysis Elements
Core Elements (Required)
- Vocabulary - Professional/Colloquial/Conversational/Literary/Mixed
- Sentence length - Long/Short/Mixed
- Paragraph structure - Length, hierarchy, spacing
Extended Elements
- Tone - Serious/Casual/Playful/Warm/Sharp/Calm
- Opening - Direct/Story/Question/Conclusion-first/Suspense
- Closing - Summary/Elevation/Open/Interactive/Punchline
- Rhythm - Fast/Slow/Varied/Tight
- Personal touch - Catchphrases/Unique perspective
3. Quantitative Metrics
3.1 Basic
- Avg sentence: Short<15, Medium15-30, Long>30 chars
- Avg paragraph: Short<80, Medium80-200, Long>200
- Sentence variation: >0.6 rich, <0.3 monotone
3.2 Emotional
- Emotional density: >0.1 high, <0.05 calm
- Exclamation rate: >0.5/para expressive
- Question ratio: >0.15 interactive
3.3 Format
- Emoji density (for Xiaohongshu)
- Tag usage frequency
- Code ratio (for technical)
4. Content Type Adaptation
4.1 WeChat Articles
- Formal but accessible vocabulary
- Mixed sentence length
- Catchy opening, CTA ending
4.2 Xiaohongshu
- Conversational, youthful
- 1-3 emojis per paragraph
- 3-10 targeted hashtags
4.3 Technical Tutorials
- Professional vocabulary
- Clear code with comments
- Numbered steps
4.4 Stories/Novels
- Clear 1st/3rd person
- Scene/character/psychology description
- Natural dialogue
4.5 Short Video Scripts
- 3-second hook
- Fast rhythm
- Conversational dialogue
5. Style Conflict Detection
5.1 Types
- Sentence: Mixed→pure short >50% change
- Tone: Serious↔Casual >2 levels gap
- Structure: Essay→list format
5.2 Handling
Prompt user with suggestions when conflict detected.
6. Quick Style Identification
Questions:
- Tone: Serious/Casual/Warm/Sharp/Humorous
- Sentence: Long/Short/Mixed
- Opening: Direct/Story/Question/Conclusion-first
- Closing: Summary/Elevation/Open/Interactive
- Perspective: 1st/2nd/3rd/Neutral
Next Step Guide (MUST FOLLOW)
When user confirms the style, you MUST guide them to the outline phase:
- Tell user: "Style confirmed. Moving to outline phase."
- Use Skill tool to invoke /spencergo:writing-outline
- Pass context: confirmed style characteristics
DO NOT skip the outline phase and go directly to writing
User can say:
- "continue" / "next" / "start outline"
