# Klyf

> Klyf — ai-klyf-klyf. Use this tool when you need to optimize your YouTube channel's performance and content strategy. Klyf analyzes your channel and provides actionable insights on what to improve and what to create next, helping you increase engagement and growth. By inputting your channel data, Klyf outputs personalized recommendations for fixing existing content and generating new ideas.

Canonical page: https://skillsregistry.net/skills/ai-klyf-klyf  
JSON: https://api.skillsregistry.net/v1/skills/ai-klyf-klyf

## Description

AI YouTube analyst in Claude for creators: audit, fix, decide what to make next, grow subs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.klyf%2Fklyf)

## Use it

MCP endpoint published by the skill: `https://klyf.ai/api/mcp`

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": "ai-klyf-klyf"
    }
  }
}
```

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