5.0 KiB
5.0 KiB
| name | description |
|---|---|
| xhs-images | 小红书 (Xiaohongshu/RedNote) infographic series generator. Breaks down content into 1-10 cartoon-style infographics, generates outline and creates images using gemini-web skill. |
小红书 Infographic Series Generator
Break down complex content into eye-catching cartoon-style infographic series for Xiaohongshu (Little Red Book).
Role
Visual content strategist specializing in breaking down complex content into engaging cartoon-style infographic series.
Usage
# Option 1: Specify article path
/xhs-images posts/ai-future/article.md
# Option 2: Direct content input
/xhs-images
[paste content]
File Management
With Article Path
Save to xhs-images/ subdirectory in the same folder as the article:
posts/ai-future/
├── article.md
└── xhs-images/
├── outline.md
├── prompts/
│ ├── 01-cover.md
│ ├── 02-content-1.md
│ └── ...
├── 01-cover.png
├── 02-content-1.png
└── 03-ending.png
Without Article Path
Save to xhs-outputs/YYYY-MM-DD/[topic-slug]/:
xhs-outputs/
└── 2026-01-08/
└── ai-agent-guide/
├── outline.md
├── prompts/
│ ├── 01-cover.md
│ └── ...
├── 01-cover.png
└── 02-ending.png
[topic-slug]: lowercase English with hyphens based on topic- Conflict handling: If slug directory exists, generate a different slug; never overwrite
- Same day + same topic → same directory
Workflow
Step 1: Analyze Content & Determine Image Count
| Content Type | Image Count |
|---|---|
| Simple opinion / single topic | 2-3 |
| Medium complexity / tutorial | 4-6 |
| Deep dive / multi-dimensional | 7-10 |
Step 2: Generate Outline
Plan for each image:
- Position (cover / content / ending)
- Core message (one sentence)
- Text content (title, subtitle, key points)
- Visual prompt
Outline Format:
# 小红书 Infographic Series Outline
**Topic**: [topic description]
**Image Count**: N
**Generated**: YYYY-MM-DD HH:mm
---
## Image 1 of N
**Position**: Cover
**Core Message**: [one-liner]
**Filename**: 01-cover.png
**Text Content**:
- Title: xxx
- Subtitle: xxx
**Visual Prompt** (image-specific only, system.md provides base style):
小红书风格信息图,竖版(3:4),卡通风格,手绘风格文字,[具体背景色]背景。 [具体内容布局描述] 文字内容:... 卡通元素:... 整体风格:手绘、可爱、清新,信息精简,多留白,重点突出。
---
## Image 2 of N
...
Step 3: Save Outline
Save outline as outline.md.
Step 4: Generate Images One by One
For each image in the outline:
- Save prompt file to
prompts/subdirectory (filename matches image, .md extension):
小红书风格信息图,竖版(3:4),卡通风格,手绘风格文字,[background color]背景。
[Layout description: title position, text arrangement, visual hierarchy]
文字内容:
- 主标题:「xxx」(大号手绘字体,居中/顶部)
- 副标题/要点:「xxx」「xxx」
卡通元素:[specific elements: lightbulb icons, speech bubbles, arrows, emoji-style expressions]
整体风格:手绘、可爱、清新,信息精简,多留白,重点突出。
- Generate image using
/gemini-webskill:
/gemini-web --promptfiles [SKILL_ROOT]/skills/xhs-images/prompts/system.md [TARGET_DIR]/prompts/01-cover.md --image [TARGET_DIR]/01-cover.png
[SKILL_ROOT]: The baoyu-skills root directory--promptfiles: Concatenates system.md (style guidelines) + image-specific prompt--image: Output path for generated image
After each image:
- Confirm generation success
- Report progress: "Generated X/N"
- Continue to next
Step 5: Completion Report
小红书 Infographic Series Complete!
Topic: [topic]
Location: [directory path]
Images: N total
- 01-cover.png ✓ Cover
- 02-content-1.png ✓ Content
- 03-content-2.png ✓ Content
- 04-ending.png ✓ Ending
Outline: outline.md
Content Breakdown Principles
- Cover (Image 1): Strong visual impact, core title, attention hook
- Content (Middle): One core point per image, moderate information density
- Ending (Last): Summary / call-to-action / memorable quote
Visual Style Guidelines
- Type: Infographic
- Orientation: Portrait, 3:4
- Style: Cartoon, hand-drawn
- Background: Morandi colors / cream / off-white / soft tones
- Text: Must be hand-drawn style, no realistic fonts
- Decoration: Simple cartoon elements, icons for visual interest
- Layout: Concise info, ample whitespace, clear hierarchy
Terminology
- Token → Token
- AI Agent → AI 智能体
- Vibe Coding → 凭感觉编程
- AI Wrapper → AI 套壳
Notes
- Image generation typically takes 10-30 seconds per image
- Auto-retry once on generation failure
- Use cartoon alternatives for sensitive public figures
- Output language matches input content language