# appletv

> appletv — lucakaufmann-appletv. Use this tool when you need to remotely control Apple TV devices, solving problems like media management and streaming issues. It provides an interface to send commands and receive feedback, allowing for seamless integration with other automation tasks. Ideal for use in home automation, media centers, or any setup requiring Apple TV control via pyatv.

Canonical page: https://skillsregistry.net/skills/lucakaufmann-appletv  
JSON: https://api.skillsregistry.net/v1/skills/lucakaufmann-appletv

## Description

Control Apple TV via pyatv.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/lucakaufmann-appletv)

## 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": "lucakaufmann-appletv"
    }
  }
}
```

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