# labeled-recorder

> labeled-recorder — zermatabdenour-labeled-recorder. Use this tool when you need to automate video editing for gameplay footage, as it generates machine-readable labels for Unity Recorder captures, enabling AI agents to cut shorts and trailers. The labeled-recorder tool accepts GameLabel calls and outputs labeled video tracks, streamlining the editing process. Ideal for game developers and content creators seeking to efficiently produce engaging video content from gameplay recordings.

Canonical page: https://skillsregistry.net/skills/zermatabdenour-labeled-recorder  
JSON: https://api.skillsregistry.net/v1/skills/zermatabdenour-labeled-recorder

## Description

Unity package that writes a machine-readable label track beside every Unity Recorder capture, so an AI agent can cut shorts and trailers from gameplay footage. One-line GameLabel calls that compile away in player builds, plus an MCP server for agent-driven editing.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-11-03

## Source

- **Source listing:** [GitHub](https://github.com/ZermatAbdenour/labeled-recorder)

## 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": "zermatabdenour-labeled-recorder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zermatabdenour-labeled-recorder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zermatabdenour-labeled-recorder/pull`

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