12000‑Star baoyu-skills: One‑Click AI Toolkit for Xiaohongshu Covers, Infographics & Slides

The baoyu-skills library for Claude Code, now with over 12,000 GitHub stars, provides modular AI‑driven commands that let users generate Xiaohongshu post covers, professional infographics, and slide images in a single step, supporting multiple platforms, customizable styles, and automatic updates.

AI Open-Source Efficiency Guide
AI Open-Source Efficiency Guide
AI Open-Source Efficiency Guide
12000‑Star baoyu-skills: One‑Click AI Toolkit for Xiaohongshu Covers, Infographics & Slides

This article introduces baoyu-skills, an open‑source collection of Claude Code skills created by Baoyu that automates repetitive content‑creation tasks such as generating Xiaohongshu (Little Red Book) covers, infographics, and slide images. The author, after testing the tool, describes it as exceptionally effective.

Core Features

Multi‑platform support via ClawHub, OpenClaw and the Claude Code Plugin Marketplace.

Modular design – each skill can be installed independently.

Continuous updates with new skills added regularly.

Focus on practical productivity improvements for content creators, media operators, designers, developers, and everyday office work.

Installation Methods

Four main ways to install the skill set are provided:

Quick install (recommended): npx skills add jimliu/baoyu-skills Publish to ClawHub/OpenClaw using ./scripts/sync-clawhub.sh --dry-run and ./scripts/sync-clawhub.sh --all.

Register as a plugin in the Claude Code Marketplace: /plugin marketplace add JimLiu/baoyu-skills.

Direct install of a single plugin: /plugin install baoyu-skills@baoyu-skills.

Let an Agent install automatically: Please install Skills from github.com/JimLiu/baoyu-skills.

Test Results

Examples of generated outputs are shown:

Using /baoyu-xhs-images --style notion to create a simple‑line‑art illustration for a Xiaohongshu post about “武松景阳冈打虎”.

The tool also produces English prompts even when the input is Chinese.

Prompt‑result screenshots demonstrate that the system returns both image prompts and descriptive text.

Generated images illustrate the final visual output.

Core Skill Categories

Content Skills

baoyu-xhs-images : Generates 1‑10 cartoon‑style information cards for Xiaohongshu, supporting a two‑dimensional style × layout system. Example commands show automatic style selection, explicit style/layout flags, and direct content input.

baoyu-infographic : Professional infographic generator with 20 layout types and 17 visual styles. Commands allow automatic recommendation, explicit layout, style, and aspect‑ratio specifications.

baoyu-cover-image : Article cover image generator with a five‑dimensional system (type × palette × rendering × text × mood), offering 54 unique style combinations. Commands support automatic dimension selection, quick mode, and manual specification of each dimension.

baoyu-slide-deck : Generates slide images from content by first creating a styled outline and then rendering a single slide picture.

AI Generation Skills

baoyu-imagine : AI image generation with multiple styles and sizes. Example prompts include a cute cat floating in space and a professional office scene.

Utility Skills

baoyu-markdown-to-html : Converts Markdown files to HTML with optional styling (e.g., GitHub style).

Updating Skills

To update to the latest version, run the /plugin command in Claude Code, navigate to the Marketplaces tab, select baoyu-skills, and choose “Update marketplace”. Automatic updates can also be enabled.

Reference Resources

GitHub repository: https://github.com/JimLiu/baoyu-skills
OpenClaw: https://github.com/openclaw/openclaw
Claude Code docs: https://docs.anthropic.com/en/docs/claude-code
Automationopen-sourceAI generationXiaohongshuClaude Codeinfographicbaoyu-skills
AI Open-Source Efficiency Guide
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AI Open-Source Efficiency Guide

With years of experience in cloud computing and DevOps, we daily recommend top open-source projects, use tools to boost coding efficiency, and apply AI to transform your programming workflow.

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