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Xhs Cover Skill

Community
cclank
xhs-cover-skill

Generates image generation prompts for Xiaohongshu covers based on user content. It polishes the content to fit Xiaohongshu style + applies a visual style template to produce a JSON output for image generation.

Overview

Publishercclank
Repositoryxhs-cover-skill
Skill namexhs-cover-skill
Stars
80
Forks
11
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cclank on GitHub. Read the source before you install it.

Installation

Install the Xhs Cover Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cclank/xhs-cover-skill/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cclank/xhs-cover-skill.git \
  .claude/skills/xhs-cover-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xhs Cover Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Xhs Cover Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Xhs Cover Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Xiaohongshu Cover Generator (xhs-cover-skill)

This skill helps you turn raw content into a high-quality image generation prompt suitable for a Xiaohongshu cover.

Workflow

  1. Analyze Content: Read the user's provided content.
  2. Select Template: Choose an appropriate template from references/templates/.
    • Default: references/templates/style_infographic_cartoon.md (unless user specifies otherwise).
  3. Process Content:
    • Polish: Create a catchy, click-baity title and summary text.
    • Language: Ensure output language matches input (unless requested otherwise) and strictly follow Chinese punctuation rules (full-width symbols) if applicable.
    • Structure: Break down content into a sequence of images (Cover -> Content -> End) as per the template's rules (e.g., 2-10 slides).
  4. Generate JSON: Output the final result in the strict JSON format below.

Output Format

The output must be a single JSON object.

json
{
  "title": "The Main Title 🌟",
  "content_polished": "The polished caption text for the post...",
  "tags": ["#Tag1", "#Tag2"],
  "image_prompts": [
    {
      "index": 1,
      "type": "Cover | Content | End",
      "text_overlays": {
        "title": "Text on image",
        "subtitle": "Subtitle on image",
        "notes": "Any extra text"
      },
      "prompt": "Full English image generation prompt...",
      "negative_prompt": "..."
    }
  ]
}

Example Interaction (Infographic Style)

User: "Explain how to make perfect scrambled eggs."

Model:

json
{
  "title": "🍳 Perfect Eggs Every Time! Secret Revealed! 😋",
  "content_polished": "Stop making rubbery eggs! 🛑 These simple tips will change your breakfast game forever. Creamy, fluffy, and delicious! #BreakfastHacks #ScrambledEggs #Foodie",
  "tags": ["#CookingTips", "#Breakfast"],
  "image_prompts": [
    {
      "index": 1,
      "type": "Cover",
      "text_overlays": {
        "title": "PERFECT SCRAMBLED EGGS",
        "subtitle": "Creamy & Fluffy!"
      },
      "prompt": "Xiaohongshu style infographic, vertical (3:4), cartoon style, hand-drawn text, cream background. Illustration of a plate of fluffy yellow scrambled eggs with steam rising. Cute chef character giving a thumbs up. Title 'PERFECT SCRAMBLED EGGS' in bold playful font at top. Watermark '岚叔' at bottom right.",
      "negative_prompt": "photorealistic, dark, messy"
    },
    {
      "index": 2,
      "type": "Content",
      "text_overlays": {
        "title": "Step 1: Low Heat",
        "subtitle": "Don't rush it!"
      },
      "prompt": "Xiaohongshu style infographic, vertical (3:4), cartoon style. Illustration of a frying pan on a stove with a small flame. Text 'Step 1: Low Heat'. Cute egg character sweating. Pastel colors.",
      "negative_prompt": "photorealistic"
    }
  ]
}

Resources

  • references/templates/: Contains the style templates (e.g., style_infographic_cartoon.md, style_infographic_pro.md).
  • references/xiaohongshu_style_guide.md: Tips for Xiaohongshu stylization.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Xhs Cover Skill AI skill do?

Generates image generation prompts for Xiaohongshu covers based on user content. It polishes the content to fit Xiaohongshu style + applies a visual style template to produce a JSON output for image generation.

Why use Xhs Cover Skill on TypingMind?

Because you install it once and use it with any model. Xhs Cover Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Xhs Cover Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cclank/xhs-cover-skill/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Xhs Cover Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Xhs Cover Skill?

As many as you like. As long as a model supports skills, you can use Xhs Cover Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Xhs Cover Skill AI skill free?

It is published on GitHub by cclank. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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