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Visactor Map2d Dashboard

Organization
VisActor
visactor-map2d-dashboard

创建富有空间感的交互式地图 Dashboard,围绕地域差异、时空事件和业务问题组织分析、证据与后续行动。Powered by VisActor。

Overview

PublisherVisActor
Repositoryskills
Skill namevisactor-map2d-dashboard
Stars
473
Forks
89
Bundled files
65
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.

  • 65 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 Map2d 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-map2d-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-map2d-dashboard .claude/skills/visactor-map2d-dashboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visactor Map2d 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 Map2d 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 Map2d 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.

地图 Dashboard

新建默认复制完整模板,先运行,再做最小业务适配。继承适用的材质、布局、地图动效、导航、联动和生命周期。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。

用真实空间数据帮助用户发现问题、检验证据并确定下一步。交付单个 HTML;新建从完整模板起步,继承其地图、外观、控件和生命周期。修改已有页面时沿用宿主,只处理受影响的部分。用户指定的风格和业务目标优先,卡片数量与图表类型由分析任务决定。

1. 确定问题与证据

先明确谁要做什么判断、当前可采取什么行动。按分析与决策选择值得验证的问题,确定比较基准、计算口径、支持或推翻判断的证据及记录核对路径;按空间分析检查地域覆盖、位置精度与聚合尺度。

分析从真实数据能力出发:有可比时间才比较变化,有真实层级才下钻,有关系数据才画连线。结论随筛选重算,区分事实、假设和未知;数据不足时说明可支持的判断和需要补充的证据。普通样式或控件维护无需展开分析流程。

2. 接入并组织分析

  • 先按模板适配确认事实粒度、稳定 ID、字段映射与完整记录,再按地图接入确认坐标、地域身份和未定位记录。敏感数据源与地域口径沿用确认规则。
  • 优先复用宿主接入,其余按数据接入判断选择。通过 visual-query 的 Builder → VQuery → VSeed → VChart / VTable 链路表达筛选、聚合与证据,地图消费同一查询范围。
  • 概览呈现主要发现和必要范围;有进一步问题的指标才提供分析入口。深入后增加比较、解释或检验,保留定位、图元选择、完整明细和返回路径。模板中的地震示例与默认最高/最低摘要需按任务适配。

3. 呈现与交付

默认复用布局与避让和外观契约,具体样式、主题与动画参数以 HTML 内的 token 和实现为准。图表为问题提供证据,地图保留连续可操作区域;深浅主题、窄屏、键盘、减少动态效果及失败恢复保持可用。

按验收标准检查分析质量、数据一致性和实际操作,说明重要发现、支持的下一步及证据限制。源码检查与历史验收结果不能代替本次运行证据。

Bundled files

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

and 5 more files.

Frequently asked questions

What does the Visactor Map2d Dashboard AI skill do?

创建富有空间感的交互式地图 Dashboard,围绕地域差异、时空事件和业务问题组织分析、证据与后续行动。Powered by VisActor。

Why use Visactor Map2d Dashboard on TypingMind?

Because you install it once and use it with any model. Visactor Map2d 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 Map2d Dashboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VisActor/skills/tree/main/skills/visactor-map2d-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 Map2d 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 Map2d Dashboard?

As many as you like. As long as a model supports skills, you can use Visactor Map2d Dashboard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Visactor Map2d 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.

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