# smart-panels

> smart-panels — datagrout-smart-panels. Use this tool when you need to create declarative UI components that can be stored as logic-cell facts and rendered natively or transpiled to other applications. It solves problems of UI management and integration by providing a flexible and scalable solution for building user interfaces. With smart-panels, you can input logic-cell facts and output native or transpiled UI components, making it ideal for use cases that require seamless UI rendering across different platforms.

Canonical page: https://skillsregistry.net/skills/datagrout-smart-panels  
JSON: https://api.skillsregistry.net/v1/skills/datagrout-smart-panels

## Description

Smart Panels for DataGrout: declarative UI stored as logic-cell facts, rendered natively with egui or transpiled to MCP Apps

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/DataGrout/smart-panels)

## 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": "datagrout-smart-panels"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/datagrout-smart-panels` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/datagrout-smart-panels/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