Agent skill

Cs Xiaohuang Skill

by ChenShuo2004 in ChenShuo2004/cs-skills

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。

MITAuto-check passedMedia & Creative

Install Cs Xiaohuang Skill

skills CLI
$ npx skills add ChenShuo2004/cs-skills --skill cs-xiaohuang-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ChenShuo2004/cs-skills cs-xiaohuang-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ChenShuo2004/cs-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cs-xiaohuang-skill .claude/skills/cs-xiaohuang-skill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cs-xiaohuang-skill
GitHub stars
197
Token cost
~758 tokens
SKILL.md length
147 words
Files
25 (incl. references, assets)
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

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。

  • Works in 2 steps: 正文配图模式 → 品牌 IP 资产模式
  • Media & Creative work in your project
  • SKILL.md covers 先读参考, 两种工作模式, 正文配图工作流 and 品牌 IP 延展工作流, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cs Xiaohuang Skill is an agent skill from ChenShuo2004/cs-skills. 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。

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 28 other files, including reference files and assets (for example `README.md` and `agents/openai.yaml`).

It sits in Media & Creative. It works with Notion. The repository describes itself as: 陈硕的 Codex Skills 与 AI 工作流手册:把产品、内容、调研与交付沉淀为可复用的智能工作流。 The licence is MIT.

When your agent uses it

  • Media & Creative work in your project

Example prompts

  • “有温度 IP”
  • “/cs-xiaohuang-skill”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. 正文配图模式
  2. 品牌 IP 资产模式

What it can do on your machine

Read from SKILL.md and the folder at commit 6f5009d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cs Xiaohuang Skill loads about 758 tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 147 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~758
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ChenShuo2004/cs-skills at commit 6f5009d, republished under its MIT licence (© ChenShuo2004). 147 words, ~758 tokens.

Download SKILL.mdSave it as .claude/skills/cs-xiaohuang-skill/SKILL.md (or your agent's skills folder). This skill also uses 24 other files; get the full folder from GitHub.
name
cs-xiaohuang-skill
description
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。

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。

© ChenShuo2004, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 24 other files (references, assets) in cs-xiaohuang-skill of ChenShuo2004/cs-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • assets/examples/01-cognitive-anchor.png
  • assets/examples/02-one-idea.png
  • assets/examples/03-relation-reveal.png
  • assets/examples/04-negative-space.png
  • assets/examples/05-metaphor-translation.png
  • assets/examples/06-concise-labels.png
  • assets/examples/07-quality-check.png
  • assets/examples/ip/00-character-system.png
  • assets/examples/ip/01-standard-2d.png
  • assets/examples/ip/02-light-the-lamp.png
  • assets/examples/ip/03-soft-vinyl-3d.png
  • assets/examples/ip/04-shape-directions.png
  • assets/reference-xiaohuang.png
  • references
  • … and 8 more

Open the folder on GitHubat commit 6f5009d

Compare with similar skills

Cs Xiaohuang Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cs Xiaohuang Skill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cs Xiaohuang Skill this skillChenShuo2004/cs-skills197—~758Automated safety check: PassMIT
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Xiaohei Chinese Article Illustrationshelloianneo/ian-xiaohei-illustrations12k3 repos~470Automated safety check: WarnMIT
Video To NotesKIRVO-REPORTING/video-to-notes105—~1.5kAutomated safety check: PassMIT
Marketing PlanNexus-JPF/note-companion8705 repos~5.2kAutomated safety check: PassMIT
Lead Magnetscoreyhaines31/marketingskills54k5 repos~2.8kAutomated safety check: PassMIT

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Works with

Questions about Cs Xiaohuang Skill

What does Cs Xiaohuang 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。. Cs Xiaohuang Skill is an agent skill from ChenShuo2004/cs-skills.

When should I use Cs Xiaohuang Skill?

Cs Xiaohuang Skill fits situations like: media & Creative work in your project.

How do I install Cs Xiaohuang Skill in Claude Code?

Run `npx skills add ChenShuo2004/cs-skills --skill cs-xiaohuang-skill -a claude-code`. Or copy the skill folder (cs-xiaohuang-skill in ChenShuo2004/cs-skills) into .claude/skills/cs-xiaohuang-skill in your project. Claude Code loads it when a task matches its description.

How do I install Cs Xiaohuang Skill in Codex?

Run `npx skills add ChenShuo2004/cs-skills --skill cs-xiaohuang-skill -a codex`. Or copy the skill folder (cs-xiaohuang-skill in ChenShuo2004/cs-skills) into .agents/skills/cs-xiaohuang-skill in your project. Codex loads it when a task matches its description.

Can I use Cs Xiaohuang Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ChenShuo2004/cs-skills --skill cs-xiaohuang-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cs-xiaohuang-skill, .gemini/skills/cs-xiaohuang-skill, .github/skills/cs-xiaohuang-skill and .opencode/skills/cs-xiaohuang-skill in your project.

What does Cs Xiaohuang Skill need to run?

SKILL.md names no scripts, command-line tools or credentials: Cs Xiaohuang Skill is instructions for the agent only.

Does Cs Xiaohuang Skill access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cs Xiaohuang Skill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cs Xiaohuang Skill use?

Cs Xiaohuang Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cs Xiaohuang Skill use?

About 758 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.

What are the alternatives to Cs Xiaohuang Skill?

Skills that share tags, products or a category with Cs Xiaohuang Skill: Connector Setup (katipally/openlive, 342 stars), Xiaohei Chinese Article Illustrations (helloianneo/ian-xiaohei-illustrations, 12k stars), Video To Notes (KIRVO-REPORTING/video-to-notes, 105 stars) and Marketing Plan (Nexus-JPF/note-companion, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cs Xiaohuang Skill?

ChenShuo2004 (a GitHub user) maintains it in ChenShuo2004/cs-skills, which has 197 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 8, 2026.

Source: ChenShuo2004/cs-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.