The complete production process from long articles to Xiaohongshu (Little Red Book) graphic notes
Version: v1.0 Creation Date: 2026-02-07 Applicable Scenarios: Converting long articles/tweets into Xiaohongshu image and text notes. Version 2.0 Creation Date: 2026-02-08 Adjusted the constraint on the number of key insights.
Featured by
nene@YouMind.AI
Why we love this skill
This skill can intelligently extract lengthy articles into viral image-text notes on Xiaohongshu, adhering to Xiaohongshu platform guidelines throughout the entire process, from insight extraction and title generation to cover and content image design. It not only ensures a consistent visual style and accurate content but also generates various copywriting options, helping you easily create highly interactive and widely shareable high-quality content, achieving a leap in content creation efficiency.
Author
Gavin Cheung
Categories
Instructions
## I. Triggering Conditions
Use this skill when a user makes the following request:
- "Make this article a Xiaohongshu (Little Red Book) post with images and text."
- "Generate Xiaohongshu Notes"
- Extract key insights from this long article and turn them into images.
- "Create a set of Xiaohongshu (Little Red Book) image and text content"
---
## II. Core Workflow
### Phase 1: Content Extraction (Essential Insights Extraction)
**Objective:** To condense a long article into 8-10 independent key insights.
**Execution Steps:**
1. **In-depth reading of the original text**
- Understanding the core value of the article
- Identify unique insights
- Mark key data
2. **Extracting Insights**
- Quantity: No more than 10 points (not necessarily 10 points, but 10 concise points; if it can be explained in three points, it should not exceed four points).
- Principle: Each point can be written independently.
- Require:
- Retain all key data (numbers, percentages, times, etc.)
- Extract unique insights, avoid generalities.
- Each insight includes: core data/case study + key takeaway summary
- Form easy-to-understand output
3. **Structured Output**
plaintext
## Insight 1: [Short Title]
[Core Data/Case Studies]
[Key Insights]
## Insight 2: [Short Title]
...
```
4. **User Feedback Iteration**
- Allow users to review and gain insights into the content.
- Modified based on user feedback
- **Key point:** Avoid "dad-like" expressions.
- ❌ “This reveals…”, “This embodies…”, “This demonstrates…”
- ✅ Use a conversational style, short sentences, and direct expression
---
### Phase 2: Title Generation (Xiaohongshu Viral Titles)
**Objective:** Generate a cover title that conforms to Xiaohongshu's guidelines.
**Xiaohongshu Title Guidelines:**
- 20 characters or less (including punctuation)
- It's essential to leave the answer ambiguous and not give a definitive answer.
- Broaden the scope of topics, avoiding narrow terms such as "self-media" and "paid knowledge".
- Tension: Contrast/Numbers/Suspense/Conflict, at least 2 items
**Heading Type Distribution:**
- Data + Discovery type: 20-30%
- Cognitive conflict type: 20-30%
- Key phrase type: 15-25%
- Comparative type: 10-20%
- Question-based approach: 10-20% (do not exceed 30%)
**Generation Process:**
1. Extract materials (data, time, people, memorable quotes, cognitive conflict)
2. Generate 5 candidate titles, each using a different template.
3. Review guidelines (word count, suspense, tension)
4. Let users choose the best title.
**Important Notes:**
- Avoid brand names (if they are not well-known in China).
- The numbers need to be impactful
- Create a sense of contrast
---
### Phase 3: Cover Design (Three-layer Content Structure)
**Objective:** Design a cover that aligns with Xiaohongshu's algorithm and user habits.
**The Three-Layer Logic of Xiaohongshu Cover Design:**
1. **Main Title (To Attract User Clicks)**
- Location: Upper center of the cover
- Font Size: Largest
- Function: To create suspense and attract attention.
2. **Subtitle (Feeding Algorithm)**
- Location: Below the main title
- Font size: Medium
- Content: Contains keywords to help the algorithm identify content types.
Example: "A complete retrospective of 3 weeks of intensive AI collaboration"
- Keywords: Core themes + Content format (review/methodology/case studies, etc.)
3. **Small print content (to increase virality)**
- Location: Bottom of the cover
- Font size: Small
- Type selection:
- Data spike type: 3-4 key data points
- Pain Point Resonance Type: 2-3 user pain points
- Value Promise Type: 2-3 core value propositions
**Cover layout suggestions:**
plaintext
┌─────────────────────────┐
│ [Main Title] │ ← Largest Font Size
│ │
│ [Subtitle] │ ← Medium font size
│ │
│ [Simple Visual Elements] │ ← Hand-drawn illustrations/icons
│ │
│ ✓ [Highlight 1] │ ← Small text
│ ✓ [Highlight 2] │
│ ✓ [Highlight 3] │
│ ✓ [Highlight 4] │
└─────────────────────────┘
```
---
### Phase 4: Content Graph Generation
**Objective:** To generate visual images for each insight.
**Unified Style Requirements:**
- Ratio: 3:4 (Xiaohongshu vertical version)
- Background: Off-white #F9F7F2
- Style: Minimalist hand-drawn, pen lines
- Font: Simplified Chinese in handwriting style
- White space: Ample, not crowded
**Core Principle: Tables are worse than words, and diagrams are worse than tables.**
don't want:
- ❌ Pure text piling up
- ❌ Densely packed bullet points
- ❌ Complex charts
To do:
- ✅ Visualize data using charts (timelines, pie charts, bar charts, flowcharts)
- ✅ Use comparison images to show the differences (bubble comparison, before and after comparison)
- ✅ Simplify information with icons and symbols
- ✅ Use arrows and lines to show relationships
**Structure of each image:**
1. Title (top, handwritten)
2. Core visual (center, chart/illustration)
3. Key quotes (bottom, emphasized)
**Chart Type Selection Guide:**
- Time distribution → Timeline chart
- Compare differences → Bubble comparison chart / Left and right comparison
- Process Steps → Flowchart/Circuit Diagram
- Data proportions → Pie chart
- System Structure → Tree Diagram/Functional Diagram
- Multidimensional data → Dashboard layout
- Transformation Relationship → Arrow Transformation Diagram
---
### Phase 5: Writing the Main Content (Xiaohongshu Copywriting)
**Objective:** To write accompanying Xiaohongshu (Little Red Book) content.
**Copywriting style requirements:**
- Remove the "fatherly" tone: Avoid phrases like "revealed," "reflected," or "in conclusion."
- Use short sentences: easy to read, rhythmic.
- Vivid imagery: Using concrete scenes instead of abstract descriptions
- Include data: Interweave key data points, avoid piling them up.
- Comparison: Using case studies to illustrate the issues.
Three types of copywriting:
1. **Narrative storytelling** (Recommended)
- Beginning: Specific scenario ("Still at 2 a.m....")
- Middle: Data + Methods + Cases
- Conclusion: Summary of Key Quotes
- Word count: 400-500 words
2. **Data-driven**
- Beginning: Directly throw in the data
- Middle: Disassembly Method
- Conclusion: Key Values
- Word count: 300-400 words
3. **Pain Point Resonance Type**
- Introduction: Question/Pain Point
- Middle: Solution
- Ending: Call to Action
- Word count: 350-450 words
**Copywriting Structure Template:**
plaintext
[Beginning: Scenario/Data/Problem]
[Core Data Display]
[Methods/Case Studies]
[Key Insights]
[Key closing quote]
[Guided Swipe]: 10 Insights 👇 Swipe to view
[Topic Tags]: #CoreKeywords# Related Topics
```
**Topic tag selection:**
- 3-6 tags
- Includes: core keywords + vertical industry + trending topics
- Example: #AI tools #efficiency improvement #content creation #Xiaohongshu operations
---
## III. Quality Inspection Checklist
### Insight Extraction Inspection:
- [ ] Number of Insights: 8-10
- [ ] Each insight can be understood independently.
- [ ] retains all key data
- [ ] No "dad-like" expression
- [ ] Specific cases/comparisons are provided
### Title Check:
- [ ] ≤ 20 characters
- [ ] There's suspense, no answer given.
- [ ] has tension (numbers/contrast/conflict)
- [ ] covers a wide range of topics
- [ ] avoids narrowing words
### Cover Inspection:
- [ ] The main title is the most eye-catching
- [ ] Subtitle contains keywords
- [ ] Small print contains explosive content
- [ ] Clear visual hierarchy
- [ ] 3:4 ratio
### Content Image Check:
- [ ] 10 images with a consistent style
- [ ] are all in a 3:4 ratio
- [ ] Simplified Chinese font
- [ ] Use charts instead of plain text
- [ ] Sufficient white space
- [ ] Hand-drawn minimalist style
### Text check:
- [ ] No "fatherly" flavor
- [ ] Short sentences are the main focus
- [ ] evokes vivid imagery
- [ ] Data interspersed naturally
- [ ] contains a guide ("Slide to view")
- [ ] contains hashtags
---
## IV. Common Problems and Solutions
### Question 1: Insight extraction feels too "paternalistic".
**Symptoms:** Using analytical tones such as "This reveals..." or "We can see..."
**solve:**
- Express directly in short sentences
- Replace "In conclusion..." with "To put it simply..."
- Use a conversational tone: "You think... but actually..."
- Remove all words such as "reveal", "embody", and "display".
### Question 2: The title is not attractive enough
**Symptoms:** The title is bland and lacks appeal, failing to attract clicks.
**solve:**
- Add specific numbers
- Create a sense of contrast ("I ruined the AI")
- Asking questions without providing answers
- Avoid complete declarative sentences
### Question 3: Too much text in the images
**Symptoms:** Images resemble PowerPoint presentations, densely packed with text.
**solve:**
- Use charts instead of text lists
- Only retain core keywords
- Increase white space
- Using icons and symbols
### Question 4: The main text is too long or too short
**Symptoms:** More than 600 words or less than 300 words
**solve:**
- Optimal length: 400-500 words
- Too long: Remove duplicate content and merge similarities.
- Too short: Add specific examples or data.
---
## V. Iteration Record
### v1.0 (2026-02-07)
- Initial version
- Establish a complete five-stage workflow
- Clarify Xiaohongshu title guidelines
- Define the three-layer structure of the cover
- Establish the principle that "tables are worse than words, and diagrams are worse than tables."
---
## VI. Usage Examples
**Input:** A 3000-word article titled "Claude Code: My Three Weeks with DontbeSilent"
**Output:**
1. 10 Key Insights (Document)
2. One viral headline: "42 conversations a day on average, I've ruined my AI."
3. One cover image (3:4 aspect ratio, including main title + subtitle + 4 data points)
4. 10 content images (3:4 aspect ratio, minimalist hand-drawn style, each corresponding to an insight)
5. Three versions of Xiaohongshu content (story-based/data-based/pain point-based)
**Total:** 11 images + accompanying text, ready to publish.
---
## VII. Precautions
1. **User participation is very important.**
- After extracting insights, allow users to review and fine-tune them.
- After the title is generated, allow the user to select.
- Do not generate all of the data at once and then provide it to the user.
2. **Maintain consistency in style**
- All images must use the same visual style
- Background color, font, and white space ratio should be consistent.
- The thickness of hand-drawn lines should be consistent.
3. **Simplified Chinese is crucial.**
- Explicitly require the generation of Simplified Chinese.
- Check for any traditional Chinese characters or English text mixed in.
4. **Data is a core asset.**
- All critical data must be retained
- Data should be visualized in images.
Data should be naturally interspersed throughout the text.
5. **Avoid Brand Name Traps**
- If the brand has no recognition in the country, delete.
- Replace with a generic description ("AI Tool" instead of "Claude Code")
---
## VIII. Success Criteria
A successful Xiaohongshu (Little Red Book) post should:
- ✅ The cover title makes you want to click.
- ✅ The content images are so engaging that you'll want to scroll through them all.
- ✅ Each image can be understood independently.
- ✅ The text resonates with readers; it's not preachy.
- ✅ The data is sufficient and convincing.
- ✅ Consistent visual style, professional
- ✅ Can be published directly without secondary editing
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The complete production process from long articles to Xiaohongshu (Little Red Book) graphic notes
Version: v1.0 Creation Date: 2026-02-07 Applicable Scenarios: Converting long articles/tweets into Xiaohongshu image and text notes. Version 2.0 Creation Date: 2026-02-08 Adjusted the constraint on the number of key insights.
Featured by
nene@YouMind.AI
Why we love this skill
This skill can intelligently extract lengthy articles into viral image-text notes on Xiaohongshu, adhering to Xiaohongshu platform guidelines throughout the entire process, from insight extraction and title generation to cover and content image design. It not only ensures a consistent visual style and accurate content but also generates various copywriting options, helping you easily create highly interactive and widely shareable high-quality content, achieving a leap in content creation efficiency.
Author
Gavin Cheung
Categories
images
Instructions
## I. Triggering Conditions
Use this skill when a user makes the following request:
- "Make this article a Xiaohongshu (Little Red Book) post with images and text."
- "Generate Xiaohongshu Notes"
- Extract key insights from this long article and turn them into images.
- "Create a set of Xiaohongshu (Little Red Book) image and text content"
---
## II. Core Workflow
### Phase 1: Content Extraction (Essential Insights Extraction)
**Objective:** To condense a long article into 8-10 independent key insights.
**Execution Steps:**
1. **In-depth reading of the original text**
- Understanding the core value of the article
- Identify unique insights
- Mark key data
2. **Extracting Insights**
- Quantity: No more than 10 points (not necessarily 10 points, but 10 concise points; if it can be explained in three points, it should not exceed four points).
- Principle: Each point can be written independently.
- Require:
- Retain all key data (numbers, percentages, times, etc.)
- Extract unique insights, avoid generalities.
- Each insight includes: core data/case study + key takeaway summary
- Form easy-to-understand output
3. **Structured Output**
plaintext
## Insight 1: [Short Title]
[Core Data/Case Studies]
[Key Insights]
## Insight 2: [Short Title]
...
```
4. **User Feedback Iteration**
- Allow users to review and gain insights into the content.
- Modified based on user feedback
- **Key point:** Avoid "dad-like" expressions.
- ❌ “This reveals…”, “This embodies…”, “This demonstrates…”
- ✅ Use a conversational style, short sentences, and direct expression
---
### Phase 2: Title Generation (Xiaohongshu Viral Titles)
**Objective:** Generate a cover title that conforms to Xiaohongshu's guidelines.
**Xiaohongshu Title Guidelines:**
- 20 characters or less (including punctuation)
- It's essential to leave the answer ambiguous and not give a definitive answer.
- Broaden the scope of topics, avoiding narrow terms such as "self-media" and "paid knowledge".
- Tension: Contrast/Numbers/Suspense/Conflict, at least 2 items
**Heading Type Distribution:**
- Data + Discovery type: 20-30%
- Cognitive conflict type: 20-30%
- Key phrase type: 15-25%
- Comparative type: 10-20%
- Question-based approach: 10-20% (do not exceed 30%)
**Generation Process:**
1. Extract materials (data, time, people, memorable quotes, cognitive conflict)
2. Generate 5 candidate titles, each using a different template.
3. Review guidelines (word count, suspense, tension)
4. Let users choose the best title.
**Important Notes:**
- Avoid brand names (if they are not well-known in China).
- The numbers need to be impactful
- Create a sense of contrast
---
### Phase 3: Cover Design (Three-layer Content Structure)
**Objective:** Design a cover that aligns with Xiaohongshu's algorithm and user habits.
**The Three-Layer Logic of Xiaohongshu Cover Design:**
1. **Main Title (To Attract User Clicks)**
- Location: Upper center of the cover
- Font Size: Largest
- Function: To create suspense and attract attention.
2. **Subtitle (Feeding Algorithm)**
- Location: Below the main title
- Font size: Medium
- Content: Contains keywords to help the algorithm identify content types.
Example: "A complete retrospective of 3 weeks of intensive AI collaboration"
- Keywords: Core themes + Content format (review/methodology/case studies, etc.)
3. **Small print content (to increase virality)**
- Location: Bottom of the cover
- Font size: Small
- Type selection:
- Data spike type: 3-4 key data points
- Pain Point Resonance Type: 2-3 user pain points
- Value Promise Type: 2-3 core value propositions
**Cover layout suggestions:**
plaintext
┌─────────────────────────┐
│ [Main Title] │ ← Largest Font Size
│ │
│ [Subtitle] │ ← Medium font size
│ │
│ [Simple Visual Elements] │ ← Hand-drawn illustrations/icons
│ │
│ ✓ [Highlight 1] │ ← Small text
│ ✓ [Highlight 2] │
│ ✓ [Highlight 3] │
│ ✓ [Highlight 4] │
└─────────────────────────┘
```
---
### Phase 4: Content Graph Generation
**Objective:** To generate visual images for each insight.
**Unified Style Requirements:**
- Ratio: 3:4 (Xiaohongshu vertical version)
- Background: Off-white #F9F7F2
- Style: Minimalist hand-drawn, pen lines
- Font: Simplified Chinese in handwriting style
- White space: Ample, not crowded
**Core Principle: Tables are worse than words, and diagrams are worse than tables.**
don't want:
- ❌ Pure text piling up
- ❌ Densely packed bullet points
- ❌ Complex charts
To do:
- ✅ Visualize data using charts (timelines, pie charts, bar charts, flowcharts)
- ✅ Use comparison images to show the differences (bubble comparison, before and after comparison)
- ✅ Simplify information with icons and symbols
- ✅ Use arrows and lines to show relationships
**Structure of each image:**
1. Title (top, handwritten)
2. Core visual (center, chart/illustration)
3. Key quotes (bottom, emphasized)
**Chart Type Selection Guide:**
- Time distribution → Timeline chart
- Compare differences → Bubble comparison chart / Left and right comparison
- Process Steps → Flowchart/Circuit Diagram
- Data proportions → Pie chart
- System Structure → Tree Diagram/Functional Diagram
- Multidimensional data → Dashboard layout
- Transformation Relationship → Arrow Transformation Diagram
---
### Phase 5: Writing the Main Content (Xiaohongshu Copywriting)
**Objective:** To write accompanying Xiaohongshu (Little Red Book) content.
**Copywriting style requirements:**
- Remove the "fatherly" tone: Avoid phrases like "revealed," "reflected," or "in conclusion."
- Use short sentences: easy to read, rhythmic.
- Vivid imagery: Using concrete scenes instead of abstract descriptions
- Include data: Interweave key data points, avoid piling them up.
- Comparison: Using case studies to illustrate the issues.
Three types of copywriting:
1. **Narrative storytelling** (Recommended)
- Beginning: Specific scenario ("Still at 2 a.m....")
- Middle: Data + Methods + Cases
- Conclusion: Summary of Key Quotes
- Word count: 400-500 words
2. **Data-driven**
- Beginning: Directly throw in the data
- Middle: Disassembly Method
- Conclusion: Key Values
- Word count: 300-400 words
3. **Pain Point Resonance Type**
- Introduction: Question/Pain Point
- Middle: Solution
- Ending: Call to Action
- Word count: 350-450 words
**Copywriting Structure Template:**
plaintext
[Beginning: Scenario/Data/Problem]
[Core Data Display]
[Methods/Case Studies]
[Key Insights]
[Key closing quote]
[Guided Swipe]: 10 Insights 👇 Swipe to view
[Topic Tags]: #CoreKeywords# Related Topics
```
**Topic tag selection:**
- 3-6 tags
- Includes: core keywords + vertical industry + trending topics
- Example: #AI tools #efficiency improvement #content creation #Xiaohongshu operations
---
## III. Quality Inspection Checklist
### Insight Extraction Inspection:
- [ ] Number of Insights: 8-10
- [ ] Each insight can be understood independently.
- [ ] retains all key data
- [ ] No "dad-like" expression
- [ ] Specific cases/comparisons are provided
### Title Check:
- [ ] ≤ 20 characters
- [ ] There's suspense, no answer given.
- [ ] has tension (numbers/contrast/conflict)
- [ ] covers a wide range of topics
- [ ] avoids narrowing words
### Cover Inspection:
- [ ] The main title is the most eye-catching
- [ ] Subtitle contains keywords
- [ ] Small print contains explosive content
- [ ] Clear visual hierarchy
- [ ] 3:4 ratio
### Content Image Check:
- [ ] 10 images with a consistent style
- [ ] are all in a 3:4 ratio
- [ ] Simplified Chinese font
- [ ] Use charts instead of plain text
- [ ] Sufficient white space
- [ ] Hand-drawn minimalist style
### Text check:
- [ ] No "fatherly" flavor
- [ ] Short sentences are the main focus
- [ ] evokes vivid imagery
- [ ] Data interspersed naturally
- [ ] contains a guide ("Slide to view")
- [ ] contains hashtags
---
## IV. Common Problems and Solutions
### Question 1: Insight extraction feels too "paternalistic".
**Symptoms:** Using analytical tones such as "This reveals..." or "We can see..."
**solve:**
- Express directly in short sentences
- Replace "In conclusion..." with "To put it simply..."
- Use a conversational tone: "You think... but actually..."
- Remove all words such as "reveal", "embody", and "display".
### Question 2: The title is not attractive enough
**Symptoms:** The title is bland and lacks appeal, failing to attract clicks.
**solve:**
- Add specific numbers
- Create a sense of contrast ("I ruined the AI")
- Asking questions without providing answers
- Avoid complete declarative sentences
### Question 3: Too much text in the images
**Symptoms:** Images resemble PowerPoint presentations, densely packed with text.
**solve:**
- Use charts instead of text lists
- Only retain core keywords
- Increase white space
- Using icons and symbols
### Question 4: The main text is too long or too short
**Symptoms:** More than 600 words or less than 300 words
**solve:**
- Optimal length: 400-500 words
- Too long: Remove duplicate content and merge similarities.
- Too short: Add specific examples or data.
---
## V. Iteration Record
### v1.0 (2026-02-07)
- Initial version
- Establish a complete five-stage workflow
- Clarify Xiaohongshu title guidelines
- Define the three-layer structure of the cover
- Establish the principle that "tables are worse than words, and diagrams are worse than tables."
---
## VI. Usage Examples
**Input:** A 3000-word article titled "Claude Code: My Three Weeks with DontbeSilent"
**Output:**
1. 10 Key Insights (Document)
2. One viral headline: "42 conversations a day on average, I've ruined my AI."
3. One cover image (3:4 aspect ratio, including main title + subtitle + 4 data points)
4. 10 content images (3:4 aspect ratio, minimalist hand-drawn style, each corresponding to an insight)
5. Three versions of Xiaohongshu content (story-based/data-based/pain point-based)
**Total:** 11 images + accompanying text, ready to publish.
---
## VII. Precautions
1. **User participation is very important.**
- After extracting insights, allow users to review and fine-tune them.
- After the title is generated, allow the user to select.
- Do not generate all of the data at once and then provide it to the user.
2. **Maintain consistency in style**
- All images must use the same visual style
- Background color, font, and white space ratio should be consistent.
- The thickness of hand-drawn lines should be consistent.
3. **Simplified Chinese is crucial.**
- Explicitly require the generation of Simplified Chinese.
- Check for any traditional Chinese characters or English text mixed in.
4. **Data is a core asset.**
- All critical data must be retained
- Data should be visualized in images.
Data should be naturally interspersed throughout the text.
5. **Avoid Brand Name Traps**
- If the brand has no recognition in the country, delete.
- Replace with a generic description ("AI Tool" instead of "Claude Code")
---
## VIII. Success Criteria
A successful Xiaohongshu (Little Red Book) post should:
- ✅ The cover title makes you want to click.
- ✅ The content images are so engaging that you'll want to scroll through them all.
- ✅ Each image can be understood independently.
- ✅ The text resonates with readers; it's not preachy.
- ✅ The data is sufficient and convincing.
- ✅ Consistent visual style, professional
- ✅ Can be published directly without secondary editing
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