# ulanzi-tc001

> Use this tool when you need to control the Ulanzi TC001 Pixel Clock device remotely over local HTTP, solving problems related to automated timing and scheduling. It provides an interface to send commands and receive status updates, allowing for seamless integration into various workflows. Ideal for use cases requiring precise timing control, such as video production or photography.

Canonical page: https://skillsregistry.net/skills/felipeouropreto-ulanzi-tc001  
JSON: https://api.skillsregistry.net/v1/skills/felipeouropreto-ulanzi-tc001

## Description

Control the Ulanzi TC001 (Pixel Clock) over local HTTP.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/felipeouropreto-ulanzi-tc001)

## 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": "felipeouropreto-ulanzi-tc001"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/felipeouropreto-ulanzi-tc001` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/felipeouropreto-ulanzi-tc001/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