xiaohongshu-makeup

Xiaohongshu Beauty Content Creation Skill

Task Objective

• This skill is used to: create high-quality note content and image prompt words for beauty and skincare products on the Xiaohongshu platform
• Capabilities include:
  1. Note generation: generate content notes in line with Xiaohongshu style based on product information, selling points, and target users
  2. Note optimization: optimize the title, body, and tags of existing notes to improve attractiveness and spreadability
  3. Text-to-image description: generate professional AI painting prompt words for beauty content
• Trigger conditions: when users request Xiaohongshu note creation, note optimization, or need to generate image prompt words for beauty content

Preliminary Preparation

• No special dependency packages required
• No non-standard files/folders required

Operation Steps

Standard Process: Note Generation

1. Collect product information

   • Ask the user to provide: product name, brand, price, core ingredients, main efficacy, suitable skin type, usage scenarios
   • Determine the target user profile: age range, skin type, spending power, pain points

2. Select note type

   • According toreferences/note_templates.mdSelect the appropriate template type:
     • Product review type: suitable for detailed product reviews
     • Skincare practical tips type: suitable for knowledge sharing
     • Ingredient science popularization type: suitable for ingredient analysis
     • Pain point solution type: suitable for solving specific problems
     • Comparative review type: suitable for comparing multiple products
     • Tutorial type: suitable for tutorial sharing
     • Good product collection type: suitable for recommending multiple products
     • Experience sharing type: suitable for sharing insights

3. Create note content

   • Title creation: use emojis, highlight selling points, create a sense of urgency (refer to the title optimization techniques in note_templates.md)
   • Opening hook: create resonance, highlight effects, give promises
   • Body structure：
     • Product information (name, brand, price, specifications)
     • Usage experience (texture, scent, feel on the face, effects)
     • Core selling points (efficacy, ingredients, suitable crowd)
     • How to use (steps, precautions)
     • Avoidance reminders (unsuitable crowd, usage taboos)
     • Summary recommendation (overall evaluation, cost-effectiveness)
   • Tag combination: according toreferences/tag_library.mdSelect 10-15 core tags
   • Tone and style: friendly and natural, use terms of address such as "sisters" and "family", use interjections appropriately

4. Optimize note quality

   • Check whether it conforms to Xiaohongshu style: emoji use, paragraph separation, highlighting key points
   • Ensure the content is authentic and credible: avoid excessive exaggeration, provide real feelings
   • Highlight product selling points: core efficacy, unique advantages, cost-effectiveness
   • Increase interactivity: use questions, encourage comments, encourage sharing

Standard process: note optimization

1. Analyze the original note

   • Identify problem points: insufficient title appeal, disorganized body structure, imprecise tags
   • Assess room for improvement: directions that can be optimized (title, content, tags)

2. Title optimization

   • Add emojis to attract attention
   • Highlight selling points (cost-effectiveness, results, suitable audience)
   • Create a sense of urgency (must-buy, buy without hesitation, repurchase endlessly)
   • Use exclamations (absolutely amazing, so good, so good you could cry)

3. Body optimization

   • Optimize the opening: create resonance, highlight results, give a promise
   • Optimize the structure: use emojis to divide sections, numbered markers, bold key points
   • Optimize the content: add detailed descriptions, provide genuine feelings, highlight selling points
   • Optimize the ending: summarize and recommend, guide interaction

4. Tag optimization

   • According toreferences/tag_library.mdreselect tags
   • Ensure tags match the content
   • Control the number of tags (10-15)
   • Incorporate popular tags

Standard process: text-to-image description creation

1. Understand image requirements

   • Determine image use: product display, portrait, beauty scene, atmospheric image
   • Clarify style requirements: gentle and fresh, exquisite and luxurious, youthful and energetic, gentle and healing

2. Create prompts

   • Refer toreferences/image_prompt_guide.mdprompt templates in
   • Build prompts according to the formula: subject + description + scene + style + details + composition
   • Choose an appropriate description vocabulary:
     • Skin description: glowing skin, clear base makeup, flawless skin
     • Makeup description: delicate makeup, earth-tone eyeshadow, bean-paste-colored lipstick
     • Lighting description: natural light, soft light, morning light
     • Style description: gentle and fresh, exquisite and luxurious, youthful and energetic
     • Composition description: half-body portrait, centered composition, blurred background

3. Optimize prompts

   • Highlight key points: put important words first
   • Rich details: describe texture, details, lighting
   • Clear style: specify artistic style, color tone, atmosphere
   • Specific scene: explain the environment, elements, atmosphere

Resource index

• Note template library: seereferences/note_templates.md(Purpose: provide complete note templates for 8 types)
• Tag library: seereferences/tag_library.md(Purpose: provide categorized tags and combination suggestions)
• Beauty trend reference: seereferences/makeup_trends.md(Purpose: understand current popular beauty trends, ingredients, effects)
• Text-to-image prompt guide: seereferences/image_prompt_guide.md(Purpose: create professional AI painting prompts)

Notes

• Content authenticity: avoid exaggerating product effects, provide genuine user experience
• Xiaohongshu style: use emojis, friendly tone, fit the platform's tone
• Tag precision: choose matching tags based on note content, avoid irrelevant tags
• Text-image consistency: text-to-image descriptions should be consistent with the note content and product tone
• Avoid sensitive words: do not use absolute terms, do not involve medical efficacy, do not exaggerate claims
• Copyright awareness: avoid directly referencing brand logos or trademarks in descriptions

Usage Examples

Example 1: Product Review-Type Note Generation

• Requirement: Create a Xiaohongshu note for a certain whitening serum
• Execution Method: Agent natural language creation
• Key Points：
  • Collect product information (price, ingredients, efficacy)
  • Select a product review-type template
  • Create a title: "✨Found a treasure! This whitening serum is absolutely amazing! Wish I'd found it sooner😭"
  • Write the main text (product information, usage experience, pitfalls to avoid, summary)
  • Select tags: #SkincareRecommendations #Whitening #Niacinamide #Students #AffordableGoodProducts
  • Optimize formatting (emoji paragraph breaks, highlight key points)

Example 2: Note Optimization

• Requirement: Optimize an existing skincare note to increase appeal
• Execution Method: Agent natural language optimization
• Key Points：
  • Analyze the problems in the original note
  • Optimize the title: add emojis, highlight selling points
  • Optimize the main text: improve structure, add details
  • Optimize tags: reselect precise tags
  • Check formatting and style

Example 3: Text-to-Image Description Creation

• Requirement: Create product display image prompts for skincare products
• Execution Method: Agent natural language creation
• Key Points：
  • Determine the image purpose (product display)
  • Refer to the product display prompt template
  • Build a complete prompt (subject + description + scene + style + details + composition)
  • Optimize the description (highlight texture, lighting, style)
  • Output professional prompts for AI painting use

Quality Standards

• Note content:
  • The title is eye-catching, with emojis and selling points
  • The main text has a clear structure and smooth logic
  • The content is authentic and credible, without excessive exaggeration
  • Tags match precisely and the number is moderate
• Text-to-image description:
  • Clear subject, detailed description
  • Consistent style, strong atmosphere
  • Rich details, strong visual appeal
  • Conforms to product tone and platform style