# dataviz

> dataviz — sckelemen-dataviz. Use this tool when you need to visualize complex data sets and create interactive dashboards to gain insights and make informed decisions. It solves problems related to data analysis, reporting, and communication by providing a user-friendly interface to input data and output interactive visualizations. Ideal for use cases involving data exploration, business intelligence, and data storytelling, it integrates with git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/sckelemen-dataviz  
JSON: https://api.skillsregistry.net/v1/skills/sckelemen-dataviz

## Description

A data visualization MCP Server

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SCKelemen/dataviz)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sckelemen-dataviz"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sckelemen-dataviz` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sckelemen-dataviz/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt