# youtube-api-project

> youtube-api-project — labeveryday-youtube-api-project. Use this tool when you need to analyze and improve your YouTube channel's performance, solving problems such as understanding audience engagement and optimizing video content. It provides inputs such as channel data and metrics, and outputs actionable insights and recommendations. Use it in the context of YouTube channel management and content creation to inform data-driven decisions.

Canonical page: https://skillsregistry.net/skills/labeveryday-youtube-api-project  
JSON: https://api.skillsregistry.net/v1/skills/labeveryday-youtube-api-project

## Description

This repo is focused on helping creators analyze and improve their YouTube channels

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/labeveryday/youtube-api-project)

## 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": "labeveryday-youtube-api-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/labeveryday-youtube-api-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/labeveryday-youtube-api-project/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