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Neural Creator Dashboard

Community
luoluo-121
neural-creator-dashboard

把用户的 Markdown / Obsidian 笔记和作品数据做成「创作神经网络看板」网页——中心光球、五只发光水母模块、点开后触须伞状展开、右侧分析栏,银灰配色,纯前端本地运行。Use when the user wants a neural-network style creator or knowledge dashboard, wants to visualize Obsidian notes, works metrics and bidirectional links, or mentions neural-creator-dashboard.

Overview

Publisherluoluo-121
Repositoryneural-creator-dashboard
Skill nameneural-creator-dashboard
Stars
194
Forks
57
Bundled files
Instructions only
LicensePolyForm-Noncommercial-1.0.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by luoluo-121 on GitHub. Read the source before you install it.

Installation

Install the Neural Creator Dashboard 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/luoluo-121/neural-creator-dashboard/tree/main/skills/neural-creator-dashboard
  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/luoluo-121/neural-creator-dashboard.git /tmp/neural-creator-dashboard
mkdir -p .claude/skills
cp -r /tmp/neural-creator-dashboard/skills/neural-creator-dashboard .claude/skills/neural-creator-dashboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Neural Creator Dashboard 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 Neural Creator Dashboard 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 Neural Creator Dashboard 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.

创作神经网络看板 · Neural Creator Dashboard

帮用户得到一个属于自己的「创作神经网络看板」:首页是一颗光球和五只代表模块(作品库、概念网络、方法库、选题池、创作台)的发光水母;点开水母,触须伞状展开到每一篇内容;点开一篇,右侧弹出它的数据、出链 / 反链 / 双向共振和二度关联。看板是 React + Vite 纯前端项目,不联网、不调用 AI。

使用许可

当前版本按 PolyForm Noncommercial 1.0.0 提供,用于学习、个人非商业使用及协议允许的其他非商业用途;商业使用需要另行授权。不要将本项目描述为 MIT 或无商业限制的开源软件。旧版 MIT 授权及第三方许可继续有效,具体见仓库 LICENSE 和 NOTICE.md。

需要的环境

  • git
  • Node.js 20.19+ 或 22.12+(node -v 确认)

步骤

1. 取得项目模板

把模板克隆到用户指定的位置(不要修改这个 skill 自己的文件夹):

bash
git clone --depth 1 https://github.com/luoluo-121/neural-creator-dashboard.git neural-dashboard
cd neural-dashboard
npm install

没有 git 时,可以从仓库页面下载 ZIP 解压,再执行 npm install。

2. 先用示例数据跑起来

bash
npm run dev

打开终端里显示的地址(默认 http://127.0.0.1:5173/ )。确认首页出现光球和五只水母后,再进行下一步。仓库里的示例数据全部是虚构的。

3. 导入用户自己的笔记

先问用户笔记文件夹的路径(例如 Obsidian 仓库),得到同意后再读取。导入脚本只读不写、不联网:

bash
npm run import -- --vault "<笔记文件夹>" --account "<账号名>" --followers <粉丝数>
  • 按文件夹名自动识别:名字含「作品 / works」的是作品,「方法 / 模板 / 流程 / methods / templates」的是方法笔记,「选题 / ideas」的是选题,「草稿 / 创作台 / drafts」的是草稿。识别不准时用 --works <文件夹>、--methods、--ideas、--drafts 指定(相对笔记文件夹的路径,可多次传)。
  • 作品的数据写在 frontmatter 里,中英文字段都认:观看/views、点赞/likes、评论/comments、收藏/saves、涨粉/follows、分享/shares、曝光/impressions、封面点击率/ctr、平均观看时长/duration、发布时间/date、类型/media(视频 / 图文)、tags;支持「1.2万」「12.4%」「21s」这类写法。
  • 正文里的 [[双链]] 会自动连线;同一个话题标签出现在两条以上内容里,会成为「概念」节点。
  • 格式参考 examples/vault/。可以先运行 npm run import -- --vault examples/vault 看效果。
  • 导入后数据写入 src/data/my-data.js,看板自动改读它;npm run import -- --reset 切回示例数据。

用户的数据不是 Markdown(比如表格)时,按 src/data/sample.js 的字段手写 src/data/my-data.js,再把 src/data/index.js 改成 export * from './my-data.js';。

4. 个性化

  • src/config.js:品牌名、图谱中心的名字、头像(放进 public/)、页脚文字。
  • src/neural/theme.js 与 src/neural/neural.css 顶部的 CSS 变量:配色。
  • public/media/:光球与水母视频,可以换成用户自己的素材(保持文件名,或同步修改 theme.js 里的路径)。

5. 验证

bash
npm run verify
npm run build

两条命令都应通过。再在浏览器里确认:首页有光球和五只水母;点「作品库」水母,触须伞状展开;点其中一篇,右侧弹出分析栏;浏览器控制台没有报错。

6. 部署(可选)

npm run build 生成的 dist/ 是纯静态文件,可以放到任何静态托管。

注意

  • 发光的光球和五只水母是这个看板的核心动效,个性化时可以换视频素材或颜色,但不要删除、隐藏或改成静态图片;改完运行 npm run verify 确认核心动效检查通过。
  • src/data/my-data.js 含用户的个人笔记,已写进 .gitignore。不要提交或公开部署它,除非用户明确要求。
  • 选题、草稿、目标只保存在浏览器 localStorage;换了数据但页面还显示旧的选题和草稿时,改 src/config.js 里的 storagePrefix 或清空该站点的 localStorage。
  • 不要往项目里加联网请求或 AI 调用;图谱分析是本地规则。
  • 更多开发约定见项目根目录的 AGENTS.md。

Frequently asked questions

What does the Neural Creator Dashboard AI skill do?

把用户的 Markdown / Obsidian 笔记和作品数据做成「创作神经网络看板」网页——中心光球、五只发光水母模块、点开后触须伞状展开、右侧分析栏,银灰配色,纯前端本地运行。Use when the user wants a neural-network style creator or knowledge dashboard, wants to visualize Obsidian notes, works metrics and bidirectional links, or mentions neural-creator-dashboard.

Why use Neural Creator Dashboard on TypingMind?

Because you install it once and use it with any model. Neural Creator Dashboard 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 Neural Creator Dashboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luoluo-121/neural-creator-dashboard/tree/main/skills/neural-creator-dashboard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Neural Creator Dashboard?

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 Neural Creator Dashboard?

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

Is the Neural Creator Dashboard AI skill free?

Yes. It is published on GitHub by luoluo-121 under the PolyForm-Noncommercial-1.0.0 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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