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Xiaohongshu Image Generator

根据小红书笔记类型、品类与目标受众，应用平台推荐算法和视觉风格规则，构建设计提示词，通过 Rendshot 模板或 AI 生成封面图与内容图，并可将满意结果保存为模板；附带标题公式、配色与版式建议。

zoohero500
zoohero500
热度 37.24
最近更新 2026-05-11 17:43:07
分类：营销依赖：MCP 服务应用场景：社交媒体 / 图像生成 / 文案创作 / 品牌素材

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add rendshot-xiaohongshu
Metadata
name
xiaohongshu
description
Create high-performing Xiaohongshu (Little Red Book / RED) cover images and content graphics. Use when the user mentions: '小红书', 'xiaohongshu', 'RED', '种草', '笔记封面', '小红书图片', '小红书卡片', or wants to create content for the Xiaohongshu platform. Combines platform algorithm knowledge, visual design best practices, and Rendshot image generation.

Xiaohongshu Content Image Generator

Create cover images and content graphics optimized for Xiaohongshu's recommendation algorithm and visual aesthetic standards.

Workflow

When a user wants to create Xiaohongshu content images:

Step 1: Understand the Business Context

Ask (if not provided):

  • What product/service/topic? (e.g., coffee, skincare, travel)
  • What type of note? (种草/测评/教程/合集/日常分享)
  • Target audience? (defaults based on category, see references/algorithm.md)

Step 2: Apply Algorithm-Aware Design Decisions

Read references/algorithm.md for:

  • Title formula selection (数字型/疑问型/对比型/紧迫型)
  • Cover design patterns that drive click-through
  • Content type matching to audience expectations
  • Avoid patterns that trigger suppression (敏感词, 过度营销)

Step 3: Apply Visual Style

Read references/design-style.md for:

  • Style selection based on category (杂志风/手写感/干净利落/对比冲击)
  • Color palette by category
  • Typography and layout rules
  • The 3-second rule for cover stopping power

Step 4: Generate with Rendshot

Option A — Use existing template:

list_templates({ platform: "xiaohongshu", q: "<category keyword>" })
get_template({ template_id: "tpl_xxx" })
generate_image({
  template_id: "tpl_xxx",
  variables: { title: "...", ... }
})

Option B — AI generate from prompt:

generate_image({
  prompt: "<detailed design prompt based on Steps 1-3>",
  platform: "xiaohongshu",   // 1080x1440
  locale: "zh"
})

The prompt should encode your design decisions:

generate_image({
  prompt: "手工皂种草笔记封面，温暖大地色调，中央大标题'三步入门冷制皂'，副标题'新手也能做出专柜级手工皂'，底部产品摆拍留白区域，杂志风排版，衬线标题字体",
  platform: "xiaohongshu",
  locale: "zh"
})

Option C — Wide format:

generate_image({
  prompt: "...",
  platform: "xiaohongshu_wide",  // 1080x810
  locale: "zh"
})

Step 5: Save Good Results

create_template({
  name: "手工皂种草封面",
  html: "<returned html>",
  variables: [...],
  platform: "xiaohongshu",
  category: "lifestyle",
  tags: ["handmade", "soap", "tutorial"]
})

Quick Reference

Dimension Standard Wide
Platform xiaohongshu xiaohongshu_wide
Size 1080x1440 (3:4) 1080x810 (4:3)
Use case 种草/测评/教程 合集/对比/攻略

Design Prompt Construction

When building prompts for Rendshot AI, always include:

  1. Note type: 种草/测评/教程/合集/日常
  2. Color direction: Based on category (see design-style.md)
  3. Title text: Use algorithm-optimized formula (see algorithm.md)
  4. Layout style: 杂志风/手写感/干净利落/对比冲击
  5. Key visual element: Product photo area, illustration, or pattern
  6. Typography hint: Font style preference

References