Visactor Light Dashboard logo

Visactor Light Dashboard

Organization
VisActor
visactor-light-dashboard

创建支持业务判断与进一步分析的小而美的 Dashboard,适用于经营概览、指标监测和专题分析。Powered by VisActor。

Overview

PublisherVisActor
Repositoryskills
Skill namevisactor-light-dashboard
Stars
473
Forks
89
Bundled files
134
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.

  • 134 bundled files

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

  • Open source

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

Installation

Install the Visactor Light 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/VisActor/skills/tree/main/skills/visactor-light-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/VisActor/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/visactor-light-dashboard .claude/skills/visactor-light-dashboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visactor Light 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 Visactor Light 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 Visactor Light 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.

轻量 Dashboard

新建默认复制完整模板,先运行,再做最小业务适配。继承适用的排版、图表样式、筛选联动、动效和生命周期。用户指定风格或宿主约束优先;移除或重写能力时,记录原因及替代行为,并验证其余体验没有退化。

围绕使用者的问题组织指标、图表、发现与探索路径。分析深度取决于任务和可用证据;简单问题可以用一张图回答。修改已有页面时沿用已确认的分析目标,只处理请求涉及的部分。

1. 明确问题与数据条件

明确谁使用、要判断什么,以及页面支持的决策或后续核查。检查数据粒度、字段、时间覆盖、比较基准和缺失情况,区分能够回答的问题与需要补充的证据,见分析设计。

2. 组织分析与探索路径

围绕主要问题选择比较、贡献、分布、交叉分组等适用分析;每张图增加新的比较、定位、解释或核对依据。首页突出主要发现和必要证据,结论区分观察事实、可能解释与待验证假设。数据支持时给出下一步核查或验证方式。

按问题选择图形与阅读顺序;有进一步分析价值时,按指标深入分析设计入口、后续问题、明细核对与返回路径。

3. 选择并适配模板

从模板列表与可视总览选择接近任务的基座,按模板接入替换数据、口径、查询和文案,再调整布局与图形。模板是实现参考,各页面的指标与分析路径按当前问题设计。

继承所选模板的排版、主题、控件、动效和响应式行为;用户要求与宿主规范优先。查询、渲染与联动使用 visual-query,数据源按 server-runtime选择。可恢复的分析条件、布局与资源引用通过所属 DSL 和公开 Builder 管理,临时交互与具体绘制留在 UI。

独立模板以单个 HTML 维护,样式和脚本内嵌并按职责分段;直接编辑对应文件,不增加独立 CSS/JS 维护源或生成同步层。

4. 验证分析与体验

按验收标准核对数字、范围、比较依据和结论边界,确认深入操作提供新证据;再验证受影响的交互及桌面、窄屏呈现。交付时简述已验证结果与数据限制。

按需参考

任务资料
设计分析、撰写发现与决策依据分析设计
选择与维护实现基座模板列表 · 模板接入
调整阅读顺序、布局与视觉布局 · 配色与材质
设计指标卡与时间趋势指标卡 · 趋势
调整筛选控件筛选 · Select 接入
配置图表、查询与状态VBI · VQuery · VSeed

Bundled files

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

and 74 more files.

Frequently asked questions

What does the Visactor Light Dashboard AI skill do?

创建支持业务判断与进一步分析的小而美的 Dashboard,适用于经营概览、指标监测和专题分析。Powered by VisActor。

Why use Visactor Light Dashboard on TypingMind?

Because you install it once and use it with any model. Visactor Light 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 Visactor Light Dashboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VisActor/skills/tree/main/skills/visactor-light-dashboard. 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 Visactor Light 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 Visactor Light Dashboard?

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

Is the Visactor Light Dashboard AI skill free?

Yes. It is published on GitHub by VisActor 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇