# K-Trendz

> K-Trendz — stevanaindustrial558-k-trendz. Use this tool when you need to support K-Culture artists through decentralized and community-driven platforms, solving problems of opaque token trading and limited fan engagement. K-Trendz provides a transparent and governance-based interface for token trading, challenge participation, and community interaction. It is ideal for fans and artists seeking a secure and engaging way to promote K-Culture.

Canonical page: https://skillsregistry.net/skills/stevanaindustrial558-k-trendz  
JSON: https://api.skillsregistry.net/v1/skills/stevanaindustrial558-k-trendz

## Description

Empower fans to support K-Culture artists through transparent token trading, community governance, and engaging challenges on a decentralized platform.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Stevanaindustrial558/K-Trendz)

## 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": "stevanaindustrial558-k-trendz"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stevanaindustrial558-k-trendz` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stevanaindustrial558-k-trendz/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