# eachlabs-fashion-ai

> Use this tool when you need to generate high-quality fashion visuals, such as model imagery or virtual try-on simulations, to enhance e-commerce experiences or create engaging runway videos. It solves problems related to product visualization, customer engagement, and marketing content creation. The tool takes input such as product descriptions, model preferences, and style guidelines, and outputs realistic and stylized fashion imagery and videos.

Canonical page: https://skillsregistry.net/skills/eftalyurtseven-eachlabs-fashion-ai  
JSON: https://api.skillsregistry.net/v1/skills/eftalyurtseven-eachlabs-fashion-ai

## Description

Generate fashion imagery, virtual try-on, runway videos.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/eftalyurtseven-eachlabs-fashion-ai)

## 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": "eftalyurtseven-eachlabs-fashion-ai"
    }
  }
}
```

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