
canghe-xhs-images
Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/freestylefly/canghe-skills --skill canghe-xhs-images- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads canghe-xhs-images automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Xiaohongshu Infographic Series Generator
Break down complex content into eye-catching infographic series for Xiaohongshu with multiple style options.
Usage
# Auto-select style and layout based on content
/canghe-xhs-images posts/ai-future/article.md
# Specify style
/canghe-xhs-images posts/ai-future/article.md --style notion
# Specify layout
/canghe-xhs-images posts/ai-future/article.md --layout dense
# Combine style and layout
/canghe-xhs-images posts/ai-future/article.md --style notion --layout list
# Direct content input
/canghe-xhs-images
[paste content]
# Direct input with options
/canghe-xhs-images --style bold --layout comparison
[paste content]
Options
| Option | Description |
|---|---|
--style <name> | Visual style (see Style Gallery) |
--layout <name> | Information layout (see Layout Gallery) |
Two Dimensions
| Dimension | Controls | Options |
|---|---|---|
| Style | Visual aesthetics: colors, lines, decorations | cute, fresh, warm, bold, minimal, retro, pop, notion, chalkboard, study-notes |
| Layout | Information structure: density, arrangement | sparse, balanced, dense, list, comparison, flow, mindmap, quadrant |
Style × Layout can be freely combined. Example: --style notion --layout dense creates an intellectual-looking knowledge card with high information density.
Style Gallery
| Style | Description |
|---|---|
cute (Default) | Sweet, adorable, girly - classic Xiaohongshu aesthetic |
fresh | Clean, refreshing, natural |
warm | Cozy, friendly, approachable |
bold | High impact, attention-grabbing |
minimal | Ultra-clean, sophisticated |
retro | Vintage, nostalgic, trendy |
pop | Vibrant, energetic, eye-catching |
notion | Minimalist hand-drawn line art, intellectual |
chalkboard | Colorful chalk on black board, educational |
study-notes | Realistic handwritten photo style, blue pen + red annotations + yellow highlighter |
Detailed style definitions: references/presets/<style>.md
Layout Gallery
| Layout | Description |
|---|---|
sparse (Default) | Minimal information, maximum impact (1-2 points) |
balanced | Standard content layout (3-4 points) |
dense | High information density, knowledge card style (5-8 points) |
list | Enumeration and ranking format (4-7 items) |
comparison | Side-by-side contrast layout |
flow | Process and timeline layout (3-6 steps) |
mindmap | Center radial mind map layout (4-8 branches) |
quadrant | Four-quadrant / circular section layout |
Detailed layout definitions: references/elements/canvas.md
Auto Selection
| Content Signals | Style | Layout |
|---|---|---|
| Beauty, fashion, cute, girl, pink | cute | sparse/balanced |
| Health, nature, clean, fresh, organic | fresh | balanced/flow |
| Life, story, emotion, feeling, warm | warm | balanced |
| Warning, important, must, critical | bold | list/comparison |
| Professional, business, elegant, simple | minimal | sparse/balanced |
| Classic, vintage, old, traditional | retro | balanced |
| Fun, exciting, wow, amazing | pop | sparse/list |
| Knowledge, concept, productivity, SaaS | notion | dense/list |
| Education, tutorial, learning, teaching, classroom | chalkboard | balanced/dense |
| Notes, handwritten, study guide, knowledge, realistic, photo | study-notes | dense/list/mindmap |
Outline Strategies
Three differentiated outline strategies for different content goals:
Strategy A: Story-Driven (故事驱动型)
| Aspect | Description |
|---|---|
| Concept | Personal experience as main thread, emotional resonance first |
| Features | Start from pain point, show before/after change, strong authenticity |
| Best for | Reviews, personal shares, transformation stories |
| Structure | Hook → Problem → Discovery → Experience → Conclusion |
Strategy B: Information-Dense (信息密集型)
| Aspect | Description |
|---|---|
| Concept | Value-first, efficient information delivery |
| Features | Clear structure, explicit points, professional credibility |
| Best for | Tutorials, comparisons, product reviews, checklists |
| Structure | Core conclusion → Info card → Pros/Cons → Recommendation |
Strategy C: Visual-First (视觉优先型)
| Aspect | Description |
|---|---|
| Concept | Visual impact as core, minimal text |
| Features | Large images, atmospheric, instant appeal |
| Best for | High-aesthetic products, lifestyle, mood-based content |
| Structure | Hero image → Detail shots → Lifestyle scene → CTA |
File Structure
Each session creates an independent directory named by content slug:
xhs-images/{topic-slug}/
├── source-{slug}.{ext} # Source files (text, images, etc.)
├── analysis.md # Deep analysis + questions asked
├── outline-strategy-a.md # Strategy A: Story-driven
├── outline-strategy-b.md # Strategy B: Information-dense
├── outline-strategy-c.md # Strategy C: Visual-first
├── outline.md # Final selected/merged outline
├── prompts/
│ ├── 01-cover-[slug].md
│ ├── 02-content-[slug].md
│ └── ...
├── 01-cover-[slug].png
├── 02-content-[slug].png
└── NN-ending-[slug].png
Slug Generation:
- Extract main topic from content (2-4 words, kebab-case)
- Example: "AI工具推荐" →
ai-tools-recommend
Conflict Resolution:
If xhs-images/{topic-slug}/ already exists:
- Append timestamp:
{topic-slug}-YYYYMMDD-HHMMSS - Example:
ai-toolsexists →ai-tools-20260118-143052
Source Files:
Copy all sources with naming source-{slug}.{ext}:
source-article.md,source-photo.jpg, etc.- Multiple sources supported: text, images, files from conversation
Workflow
Progress Checklist
Copy and track progress:
XHS Infographic Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Found → load preferences → continue
- [ ] Not found → run first-time setup → MUST complete before Step 1
- [ ] Step 1: Analyze content → analysis.md
- [ ] Step 2: Confirmation 1 - Content understanding ⚠️ REQUIRED
- [ ] Step 3: Generate 3 outline + style variants
- [ ] Step 4: Confirmation 2 - Outline & style & elements selection ⚠️ REQUIRED
- [ ] Step 5: Generate images (sequential)
- [ ] Step 6: Completion report
Flow
Input → [Step 0: Preferences] ─┬─ Found → Continue
│
└─ Not found → First-Time Setup ⛔ BLOCKING
│
└─ Complete setup → Save EXTEND.md → Continue
│
┌───────────────────────────────────────────────────────────────────────────┘
↓
Analyze → [Confirm 1] → 3 Outlines → [Confirm 2: Outline + Style + Elements] → Generate → Complete
Step 0: Load Preferences (EXTEND.md) ⛔ BLOCKING
Purpose: Load user preferences or run first-time setup.
CRITICAL: If EXTEND.md not found, MUST complete first-time setup before ANY other questions or steps. Do NOT proceed to content analysis, do NOT ask about style, do NOT ask about layout — ONLY complete the preferences setup first.
Use Bash to check EXTEND.md existence (priority order):
# Check project-level first
test -f .canghe-skills/canghe-xhs-images/EXTEND.md && echo "project"
# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.canghe-skills/canghe-xhs-images/EXTEND.md" && echo "user"
┌────────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├────────────────────────────────────────────────────┼───────────────────┤ │ .canghe-skills/canghe-xhs-images/EXTEND.md │ Project directory │ ├────────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.canghe-skills/canghe-xhs-images/EXTEND.md │ User home │ └────────────────────────────────────────────────────┴───────────────────┘
┌───────────┬─────────────────────────────────────────────────────────────────────────────────────────────────────┐ │ Result │ Action │ ├───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ Found │ Read, parse, display summary → Continue to Step 1 │ ├───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ Not found │ ⛔ BLOCKING: Run first-time setup ONLY (see below) → Complete and save EXTEND.md → Then Step 1 │ └───────────┴─────────────────────────────────────────────────────────────────────────────────────────────────────┘
First-Time Setup (when EXTEND.md not found):
Language: Use user's input language or saved language preference.
Use AskUserQuestion with ALL questions in ONE call. See references/config/first-time-setup.md for question details.
EXTEND.md Supports: Watermark | Preferred style/layout | Custom style definitions | Language preference
Schema: references/config/preferences-schema.md
Step 1: Analyze Content → analysis.md
Read source content, save it if needed, and perform deep analysis.
Actions:
- Save source content (if not already a file):
- If user provides a file path: use as-is
- If user pastes content: save to
source.mdin target directory - Backup rule: If
source.mdexists, rename tosource-backup-YYYYMMDD-HHMMSS.md
- Read source content
- Deep analysis following
references/workflows/analysis-framework.md:- Content type classification (种草/干货/测评/教程/避坑...)
- Hook analysis (爆款标题潜力)
- Target audience identification
- Engagement potential (收藏/分享/评论)
- Visual opportunity mapping
- Swipe flow design
- Detect source language
- Determine recommended image count (2-10)
- Generate clarifying questions (see Step 2)
- Save to
analysis.md
Step 2: Confirmation 1 - Content Understanding ⚠️
Purpose: Validate understanding + collect missing info. Do NOT skip.
Display summary:
- Content type + topic identified
- Key points extracted
- Tone detected
- Source images count
Use AskUserQuestion for:
- Core selling point (multiSelect: true)
- Target audience
- Style preference: Authentic sharing / Professional review / Aesthetic mood / Auto
- Additional context (optional)
After response: Update analysis.md → Step 3
Step 3: Generate 3 Outline + Style Variants
Based on analysis + user context, create three distinct strategy variants. Each variant includes both outline structure and visual style recommendation.
For each strategy:
| Strategy | Filename | Outline | Recommended Style |
|---|---|---|---|
| A | outline-strategy-a.md | Story-driven: emotional, before/after | warm, cute, fresh |
| B | outline-strategy-b.md | Information-dense: structured, factual | notion, minimal, chalkboard |
| C | outline-strategy-c.md | Visual-first: atmospheric, minimal text | bold, pop, retro |
Outline format (YAML front matter + content):
---
strategy: a # a, b, or c
name: Story-Driven
style: warm # recommended style for this strategy
style_reason: "Warm tones enhance emotional storytelling and personal connection"
elements: # from style preset, can be customized in Step 4
background: solid-pastel
decorations: [clouds, stars-sparkles]
emphasis: star-burst
typography: highlight
layout: balanced # primary layout
image_count: 5
---
## P1 Cover
**Type**: cover
**Hook**: "入冬后脸不干了🥹终于找到对的面霜"
**Visual**: Product hero shot with cozy winter atmosphere
**Layout**: sparse
## P2 Problem
**Type**: pain-point
**Message**: Previous struggles with dry skin
**Visual**: Before state, relatable scenario
**Layout**: balanced
...
Differentiation requirements:
- Each strategy MUST have different outline structure AND different recommended style
- Adapt page count: A typically 4-6, B typically 3-5, C typically 3-4
- Include
style_reasonexplaining why this style fits the strategy - Consider user's style preference from Step 2
Reference: references/workflows/outline-template.md
Step 4: Confirmation 2 - Outline & Style & Elements Selection ⚠️
Purpose: User chooses outline strategy, confirms visual style, and customizes elements. Do NOT skip.
Display each strategy:
- Strategy name + page count + recommended style
- Page-by-page summary (P1 → P2 → P3...)
Use AskUserQuestion with three questions:
Question 1: Outline Strategy
- Strategy A (Recommended if "authentic sharing")
- Strategy B (Recommended if "professional review")
- Strategy C (Recommended if "aesthetic mood")
- Combine: specify pages from each
Question 2: Visual Style
- Use strategy's recommended style (show which style)
- Or select from: cute / fresh / warm / bold / minimal / retro / pop / notion / chalkboard
- Or type custom style description
Question 3: Visual Elements (show after style selection) Display the selected style's default elements from preset, then ask:
- Use style defaults (Recommended) - show preview: background, decorations, emphasis
- Adjust background - options: solid-pastel / solid-saturated / gradient-linear / gradient-radial / paper-texture / grid
- Adjust decorations - options: hearts / stars-sparkles / flowers / clouds / leaves / confetti
- Type custom element preferences
After response:
- Single strategy → copy to
outline.mdwith confirmed style - Combination → merge specified pages with confirmed style
- Custom request → regenerate based on feedback
- Style defaults → use preset's Element Combination as-is
- Background adjustment → update elements.background with user choice
- Decorations adjustment → update elements.decorations with user choice
- Custom elements → parse user's preferences into elements fields
- Update
outline.mdfrontmatter with final style and elements
Step 5: Generate Images
With confirmed outline + style + layout:
Visual Consistency — Reference Image Chain: To ensure character/style consistency across all images in a series:
- Generate image 1 (cover) FIRST — without
--ref - Use image 1 as
--reffor ALL remaining images (2, 3, ..., N)- This anchors the character design, color rendering, and illustration style
- Command pattern:
--ref <path-to-image-01.png>added to every subsequent generation
This is critical for styles that use recurring characters, mascots, or illustration elements. Image 1 becomes the visual anchor for the entire series.
For each image (cover + content + ending):
- Save prompt to
prompts/NN-{type}-[slug].md(in user's preferred language)- Backup rule: If prompt file exists, rename to
prompts/NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.md
- Backup rule: If prompt file exists, rename to
- Generate image:
- Image 1: Generate without
--ref(this establishes the visual anchor) - Images 2+: Generate with
--ref <image-01-path>for consistency - Backup rule: If image file exists, rename to
NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.png
- Image 1: Generate without
- Report progress after each generation
Watermark Application (if enabled in preferences): Add to each image generation prompt:
Include a subtle watermark "[content]" positioned at [position].
The watermark should be legible but not distracting from the main content.
Reference: references/config/watermark-guide.md
Image Generation Skill Selection:
- Check available image generation skills
- If multiple skills available, ask user preference
Session Management:
If image generation skill supports --sessionId:
- Generate unique session ID:
xhs-{topic-slug}-{timestamp} - Use same session ID for all images
- Combined with reference image chain, ensures maximum visual consistency
Step 6: Completion Report
Xiaohongshu Infographic Series Complete!
Topic: [topic]
Strategy: [A/B/C/Combined]
Style: [style name]
Layout: [layout name or "varies"]
Location: [directory path]
Images: N total
✓ analysis.md
✓ outline-strategy-a.md
✓ outline-strategy-b.md
✓ outline-strategy-c.md
✓ outline.md (selected: [strategy])
Files:
- 01-cover-[slug].png ✓ Cover (sparse)
- 02-content-[slug].png ✓ Content (balanced)
- 03-content-[slug].png ✓ Content (dense)
- 04-ending-[slug].png ✓ Ending (sparse)
Image Modification
| Action | Steps |
|---|---|
| Edit | Update prompt file FIRST → Regenerate with same session ID |
| Add | Specify position → Create prompt → Generate → Renumber subsequent files (NN+1) → Update outline |
| Delete | Remove files → Renumber subsequent (NN-1) → Update outline |
IMPORTANT: When updating images, ALWAYS update the prompt file (prompts/NN-{type}-[slug].md) FIRST before regenerating. This ensures changes are documented and reproducible.
Content Breakdown Principles
- Cover (Image 1): Hook + visual impact →
sparselayout - Content (Middle): Core value per image →
balanced/dense/list/comparison/flow - Ending (Last): CTA / summary →
sparseorbalanced
Style × Layout Matrix (✓✓ = highly recommended, ✓ = works well):
| sparse | balanced | dense | list | comparison | flow | mindmap | quadrant | |
|---|---|---|---|---|---|---|---|---|
| cute | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓ | ✓ | ✓ | ✓ |
| fresh | ✓✓ | ✓✓ | ✓ | ✓ | ✓ | ✓✓ | ✓ | ✓ |
| warm | ✓✓ | ✓✓ | ✓ | ✓ | ✓✓ | ✓ | ✓ | ✓ |
| bold | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ | ✓ | ✓✓ |
| minimal | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| retro | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓ | ✓ | ✓ | ✓ |
| pop | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓✓ | ✓ | ✓ | ✓ |
| notion | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ |
| chalkboard | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓✓ | ✓ |
| study-notes | ✗ | ✓ | ✓✓ | ✓✓ | ✓ | ✓ | ✓✓ | ✓ |
References
Detailed templates in references/ directory:
Elements (Visual building blocks):
elements/canvas.md- Aspect ratios, safe zones, grid layoutselements/image-effects.md- Cutout, stroke, filterselements/typography.md- Decorated text (花字), tags, text directionelements/decorations.md- Emphasis marks, backgrounds, doodles, frames
Presets (Style presets):
presets/<name>.md- Element combination definitions (cute, notion, warm...)
Workflows (Process guides):
workflows/analysis-framework.md- Content analysis frameworkworkflows/outline-template.md- Outline template with layout guideworkflows/prompt-assembly.md- Prompt assembly guide
Config (Settings):
config/preferences-schema.md- EXTEND.md schemaconfig/first-time-setup.md- First-time setup flowconfig/watermark-guide.md- Watermark configuration
Notes
- Auto-retry once on failure | Cartoon alternatives for sensitive figures
- Use confirmed language preference | Maintain style consistency
- Two confirmation points required (Steps 2 & 4) - do not skip
Extension Support
Custom configurations via EXTEND.md. See Step 0 for paths and supported options.
FAQ
What does the canghe-xhs-images skill do?
Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.
How do I install canghe-xhs-images?
Run npx skills add https://github.com/freestylefly/canghe-skills --skill canghe-xhs-images in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/canghe-xhs-images/ (personal) or .claude/skills/canghe-xhs-images/ (project).
Which AI agents can use canghe-xhs-images?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is canghe-xhs-images safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains canghe-xhs-images?
It is published by freestylefly in freestylefly/canghe-skills. It has 569 recorded installs.
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