Unovis Vue Skilld logo

Unovis Vue Skilld

Organization
skilld-dev
unovis-vue-skilld

Modular data visualization framework for React, Angular, Svelte, Vue, and vanilla TypeScript or JavaScript. ALWAYS use when writing code importing "@unovis/vue". Consult for debugging, best practices, or modifying @unovis/vue, unovis/vue, unovis vue, unovis.

Overview

Publisherskilld-dev
Repositoryvue-ecosystem-skills
Skill nameunovis-vue-skilld
Stars
180
Forks
8
Bundled files
161
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.

  • 161 bundled files

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

  • Open source

    Published by skilld-dev on GitHub. Read the source before you install it.

Installation

Install the Unovis Vue Skilld 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.
  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/skilld-dev/vue-ecosystem-skills.git /tmp/vue-ecosystem-skills
mkdir -p .claude/skills
cp -r /tmp/vue-ecosystem-skills/skills/unovis-vue-skilld .claude/skills/unovis-vue-skilld
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Unovis Vue Skilld 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 Unovis Vue Skilld 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 Unovis Vue Skilld 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.

f5/unovis @unovis/vue@1.6.5

Tags: latest: 1.6.5, beta: 1.6.5-topojson.0

References: Docs

API Changes

This section documents version-specific API changes for @unovis/vue — prioritize recent major/minor releases.

  • NEW: VisPlotband and VisPlotline — new auxiliary components for highlighting data ranges or specific values source

  • NEW: VisRollingPinLegend — new specialized legend component added in v1.6.0 source

  • NEW: VisTreemap — new hierarchical data visualization component; includes tileShowHtmlTooltip and topLevelParent props as of v1.6.4 source

  • NEW: VisAnnotations — new component for adding callouts and annotations to charts source

  • NEW: onRenderComplete — new callback available in VisXYContainer and VisSingleContainer to detect when rendering is finished source

  • NEW: VisArea enhancements — added stackMinHeight for better visibility of small values and optional line display via core config source

  • NEW: VisSankey updates — new onLayoutCalculated callback, getSankeyDepth method, and support for Zoom/Pan and Node selection source

  • NEW: VisGraph features — support for custom node rendering functions, SVG link labels, and Zoom start/end callbacks source

  • NEW: VisCrosshair additions — new forceShowAt prop, onCrosshairMove callback, and skipRangeCheck configuration source

  • NEW: SSR Readiness — major internal refactor to support SSR (Server-Side Rendering) for Nuxt and other frameworks source

  • NEW: Reactive Map Data — VisLeafletMap data property is now fully reactive in Vue source

  • NEW: Automatic Tooltip Placement — VisTooltip now automatically aligns when used in conjunction with VisCrosshair source

  • NEW: VisBulletLegend — now supports multiple colors per legend item source

  • NEW: VisXYContainer — improved scaleByDomain behavior to ensure consistency across multiple chart types source

Also changed: calc() support in Annotations · theme-patterns accessible theme · VisFlowLegend refactored wrapper · axis grid line dasharray CSS variables · skipRangeCheck Crosshair prop

Best Practices

  • Support ordinal values in XY components by returning the data index in the x accessor and providing a tickFormat to the VisAxis source
vue
<script setup lang="ts">
const x = (d, i: number) => i
const tickFormat = (i: number) => data[i].category
</script>

<template>
  <VisXYContainer :data="data">
    <VisStackedBar :x="x" :y="d => d.value" />
    <VisAxis type="x" :tick-format="tickFormat" />
  </VisXYContainer>
</template>
  • Define custom SVG gradients or patterns using the svgDefs property on VisXYContainer or VisSingleContainer source
vue
<template>
  <VisXYContainer :svg-defs="gradientDef">
    <VisArea :x="d => d.x" :y="d => d.y" color="url(#gradient-id)" />
  </VisXYContainer>
</template>
  • Display continuous lines across missing data points by filtering null values and passing the dataset directly to VisLine instead of the container source
vue
<template>
  <VisXYContainer>

    <VisLine :data="data.filter(d => d.value !== null)" :x="x" :y="y" />
  </VisXYContainer>
</template>
  • Attach events to axis ticks or other sub-elements using the events prop and component-specific selectors source
vue
<script setup lang="ts">
import { VisAxisSelectors } from '@unovis/vue'
const axisEvents = {
  [VisAxisSelectors.tick]: {
    click: (val: number) => console.log('Clicked tick:', val)
  }
}
</script>

<template>
  <VisAxis type="x" :events="axisEvents" />
</template>
  • Wrap Unovis components in <ClientOnly> when using Nuxt or SSR to prevent errors from top-level document or window references source
vue
<template>
  <ClientOnly>
    <VisXYContainer :data="data">
      <VisLine :x="x" :y="y" />
    </VisXYContainer>
  </ClientOnly>
</template>
  • Enable tooltips or interactions on TopoJSON map areas using the feature selector source
vue
<script setup lang="ts">
import { VisTopoJSONMapSelectors } from '@unovis/vue'
const triggers = {
  [VisTopoJSONMapSelectors.feature]: d => d.properties.name
}
</script>

<template>
  <VisTopoJSONMap :triggers="triggers" ... />
</template>
  • Fix clipped top or bottom axis labels by increasing the margin property on the VisXYContainer source
vue
<template>

  <VisXYContainer :margin="{ top: 10, right: 10, bottom: 10, left: 10 }">
    <VisStackedBar ... />
  </VisXYContainer>
</template>
  • Use tickTextWidth on VisAxis to enable automatic label wrapping and trimming for long axis labels source
vue
<template>
  <VisAxis type="x" :tick-text-width="100" />
</template>
  • Display multiple colors within a single legend bullet by passing an array to the color property of a legend item source
vue
<script setup lang="ts">
const items = [
  { name: 'Multi-segment', color: ['#ff0000', '#00ff00', '#0000ff'] }
]
</script>

<template>
  <VisBulletLegend :items="items" />
</template>
  • Programmatically control crosshair visibility and position using the forceShowAt property for custom sync or interaction logic source
vue
<template>

  <VisCrosshair :force-show-at="{ x: 1707093300 }" />
</template>

Bundled files

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

and 101 more files.

Frequently asked questions

What does the Unovis Vue Skilld AI skill do?

Modular data visualization framework for React, Angular, Svelte, Vue, and vanilla TypeScript or JavaScript. ALWAYS use when writing code importing "@unovis/vue". Consult for debugging, best practices, or modifying @unovis/vue, unovis/vue, unovis vue, unovis.

Why use Unovis Vue Skilld on TypingMind?

Because you install it once and use it with any model. Unovis Vue Skilld 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 Unovis Vue Skilld in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/skilld-dev/vue-ecosystem-skills/tree/main/skills/unovis-vue-skilld. 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 Unovis Vue Skilld?

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 Unovis Vue Skilld?

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

Is the Unovis Vue Skilld AI skill free?

Yes. It is published on GitHub by skilld-dev 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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