Cs Xiaohuang Skill logo

Cs Xiaohuang Skill

Community
ChenShuo2004
cs-xiaohuang-skill

当用户提到“小黄”“有温度 IP”“温度种子”“爱心天线”,或希望为固定品牌角色制作标准图、动作表情、三视图、表情包、场景插画、2D/3D 转换、黑白共创、联名、风格迁移、身份修复时使用;也用于把中文文章、公众号、博客、Notion 文档、方法论、工作流或知识型帖子转成小黄轻手绘正文配图。始终保持同一角色身份;正文配图先识别认知锚点并输出 shot list 或逐张生成 16:9 配图。

Overview

PublisherChenShuo2004
Repositorycs-skills
Skill namecs-xiaohuang-skill
Stars
204
Forks
21
Bundled files
22
LicenseMIT
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.

  • 22 bundled files

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

  • Open source

    Published by ChenShuo2004 on GitHub. Read the source before you install it.

Installation

Install the Cs Xiaohuang 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/ChenShuo2004/cs-skills/tree/main/cs-xiaohuang-skill
  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/ChenShuo2004/cs-skills.git /tmp/cs-skills
mkdir -p .claude/skills
cp -r /tmp/cs-skills/cs-xiaohuang-skill .claude/skills/cs-xiaohuang-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cs Xiaohuang 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 Cs Xiaohuang 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 Cs Xiaohuang 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.

小黄 IP 与正文配图

小黄就是“有温度”的固定品牌角色。这个 skill 是它的唯一入口:既把中文内容的判断、变化、关系或隐喻画成正文配图,也稳定生成、编辑和延展小黄的品牌 IP 资产。

始终遵守:可以换动作、场景、媒介和画法;不可以换掉角色身份。

先读参考

纯文字配图规划可先读内容与模式参考;所有生图、编辑或角色评估任务都必须查看 assets/reference-xiaohuang.png;它是唯一的身份锚点。再按任务读取,避免一次加载无关内容:

  • 身份、标准图、修复、三视图或一致性检查:references/character-dna.md。
  • 2D/3D、黑白、动作表情、多形态、联名或风格迁移:references/media-and-variants.md。
  • 品牌 IP 生成或编辑:references/ip-prompt-templates.md。
  • 正文配图:references/style-dna.md、references/xiaohuang-ip.md、references/composition-patterns.md、references/prompt-template.md。
  • 交付前:references/qa-checklist.md。

两种工作模式

先判定模式,再读取对应参考资料;不要把品牌 IP 的参考和正文配图规则一次性加载。若用户同时需要两种结果,先完成当前目标,再明确切换模式。

1. 正文配图模式

  • 配图规划:分析文章怎么配图、哪些段落值得配图时,先输出 shot list,不生成图片。
  • 直接生成:用户要求生成图片、出图或直接配好图时,为每个认知锚点单独调用当前可用的图像工具;不要把多张配图拼成一张。
  • 局部编辑:只改标题、错字、标注或指定元素;保持其余构图、比例与风格不变。

2. 品牌 IP 资产模式

  • 角色延展:标准图、动作、表情、三视图、表情包、场景植入和品牌海报插画。
  • 媒介转换:保持角色身份,将 2D 转为 3D、线稿、软胶、树脂或用户指定媒介。
  • 风格迁移与联名:只迁移视觉语言;与其他角色共创时,双方身份必须分别可辨。
  • 身份修复:按 DNA 修复错误轮廓、爱心天线、面部或四肢,而非重新设计角色。

正文配图工作流

  1. 消化内容。 读取用户提供的文章、笔记、链接、Markdown、Notion 内容、截图或单个观点;区分核心观点、认知转折、可视化关系和不需要配图的段落。
  2. 选择认知锚点。 不要平均配图。优先选择能帮助理解的判断、前后变化、输入输出、分流、瓶颈、反馈、角色状态或核心隐喻。
  3. 先做配图策略。 默认只给出 3~6 张 shot list,不生成图片;短内容可为 1~3 张,长文通常不超过 8 张。用户要求直接生成或配好图时,在内部完成策略后直接进入下一步,不重复确认。每张包含:插入位置、核心意思、构图类型、小黄的动作、主要物件与建议标注词。
  4. 发明新的隐喻。 将抽象概念转换成可见动作和低科技物件;每次从当前文章重新设计画面,不复用之前的案例构图。
  5. 逐张生成。 每张图只表达一个结构。使用 references/prompt-template.md 组合提示词,并让小黄承担解释概念的关键动作。
  6. 检查与迭代。 按 references/qa-checklist.md 检查。中文错字多时,减少标注后重生成;元素过多时,删到只剩一个动作与少量物件。
  7. 保存交付。 当用户在 workspace 中工作时,将成图保存至 assets/<article-slug>-illustrations/,按 01-topic.png、02-topic.png 递增命名;不覆盖原图,除非用户明确要求。

品牌 IP 延展工作流

  1. 锁定输入角色。 明确区分身份参考、风格参考、场景参考和编辑目标;不要把所有输入图都当成编辑目标。
  2. 写出不变量与变量。 不变量是轮廓逻辑、爱心天线、面部比例、细四肢与暖色体系;变量是动作、表情、场景、构图、媒介、光线和画法。
  3. 选择任务结构。 先决定是角色延展、媒介转换、风格迁移、联名共创还是身份修复;多版本必须改变结构,不只换材质。
  4. 单资产生成或编辑。 用户明确要求生成时直接调用可用生图工具;每个独立资产单独生成,局部问题只做单一目标编辑。
  5. 检查与迭代。 按 QA 清单检查。两个及以上身份锚点失败时重新设计;只有一个局部失败时固定不变量后局部修复。
  6. 保存交付。 保存到用户指定目录;未指定时使用清晰、可排序的文件名,且不覆盖旧资产。报告用途、媒介、路径、最稳版本与仍存风险。

统一硬规则

  • 角色 DNA 优先于画风。小黄必须保持暖黄不规则种子形身体、空心爱心天线、黑色竖椭圆眼、小弧线嘴、腮红和细黑四肢;不得变成梨子、鸡蛋、水滴、动物或通用黄色吉祥物。
  • 正文配图默认 16:9 横版、暖白底、黑色轻手绘线条和充足留白;一张只解释一个关系,标注最多 6 处,小黄必须承担关键动作。
  • 品牌 IP 默认使用暖白背景与克制的 2D 手绘蜡笔 / 油画棒 / 彩铅质感;只有用户要求时才切换到 3D、黑白或其他媒介。
  • 不复制他人 IP、受保护角色或旧图构图。风格迁移只迁移线条、材质、色彩和氛围;联名时不得合并轮廓或交换身份标志。
  • 不用于复杂架构图、可编辑矢量图、PPT 式信息图或 ChatCut 视频策划。品牌角色主导的插画、场景图和海报资产属于本 skill 范围。

用户指令优先级

  • “只换颜色”或“只换风格”时,不改变角色结构。
  • “图一换成图二风格”时,图一负责小黄身份与构图,图二只提供视觉语言。
  • “做 3D”时,只转换体积、材质和光线,保持角色比例和锚点。
  • “多来几个不同的”时,改变轮廓比例、重心、凹凸、肢体和天线方向,不只换材质。
  • 当前明确指令只决定可变项;若与角色 DNA 冲突,优先保留身份锚点并说明风险。只有用户明确确认“创建新角色”时,才允许改变身份锚点。

输出口径

正文配图规划时,简短输出 shot list 和推荐优先级。品牌 IP 交付时,说明生成数量、每张用途、媒介、文件路径、最稳版本与身份漂移风险。不要长篇解释视觉理论。

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 Cs Xiaohuang Skill AI skill do?

当用户提到“小黄”“有温度 IP”“温度种子”“爱心天线”,或希望为固定品牌角色制作标准图、动作表情、三视图、表情包、场景插画、2D/3D 转换、黑白共创、联名、风格迁移、身份修复时使用;也用于把中文文章、公众号、博客、Notion 文档、方法论、工作流或知识型帖子转成小黄轻手绘正文配图。始终保持同一角色身份;正文配图先识别认知锚点并输出 shot list 或逐张生成 16:9 配图。

Why use Cs Xiaohuang Skill on TypingMind?

Because you install it once and use it with any model. Cs Xiaohuang 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 Cs Xiaohuang Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChenShuo2004/cs-skills/tree/main/cs-xiaohuang-skill. 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 Cs Xiaohuang 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 Cs Xiaohuang Skill?

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

Is the Cs Xiaohuang Skill AI skill free?

Yes. It is published on GitHub by ChenShuo2004 under the MIT license. 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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