# Pane

> Use this tool when you need to create engaging and interactive user experiences, enabling AI agents to solve complex problems that require visual representations and structured input. Pane helps to replace text-only responses with intuitive interfaces, including diagrams and forms, to improve user understanding and interaction. It is ideal for use cases where visual communication and persistent state management are essential, such as data visualization, form-based input, and workflow management.

Canonical page: https://skillsregistry.net/skills/zabaca-pane  
JSON: https://api.skillsregistry.net/v1/skills/zabaca-pane

## Description

Enables AI agents to create visual, interactive interfaces with diagrams, structured input forms, and persistent state management instead of text-only responses.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dquycsei6n)
- **Repository:** <https://github.com/Zabaca/pane>

## 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": "zabaca-pane"
    }
  }
}
```

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