# Uwear

> Uwear — ai-uwear-uwear. Use this tool when you need to create customized and stylized digital photoshoots with various garments, avatars, and locations. Uwear solves problems related to virtual product showcases, fashion design visualization, and social media content creation by providing an AI-powered studio for art direction and image generation. It takes inputs such as garment designs, avatar selections, and location choices, and outputs high-quality, stylized digital images.

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

## Description

AI photoshoot studio: garments, avatars, locations, and art direction

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

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

## Use it

MCP endpoint published by the skill: `https://api.uwear.ai/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-uwear-uwear"
    }
  }
}
```

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