# Caffeinated Wardrobe

> Use this tool when you need to streamline your wardrobe management and receive personalized styling recommendations. The Caffeinated Wardrobe API enables tracking of clothing items, outfit composition, and analysis of wear patterns, providing AI-powered suggestions based on inputs from calendar, weather, or purchase history. It integrates with various MCP servers, such as filesystem, calendar, or browser, to offer context-aware outfit ideas.

Canonical page: https://skillsregistry.net/skills/michelle-caffeinated-wardrobe  
JSON: https://api.skillsregistry.net/v1/skills/michelle-caffeinated-wardrobe

## Description

Caffeinated Wardrobe is like an API for your closet. This MCP server brings programmatic wardrobe management to any MCP-compatible AI client - track clothing items, compose (and remember) outfits, analyze wear patterns, and get AI-powered styling recommendations. Combine with filesystem, calendar, or browser MCP servers for context-aware outfit suggestions based on your schedule, weather, or recent purchases.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/michelle/caffeinated-wardrobe)

## 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": "michelle-caffeinated-wardrobe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michelle-caffeinated-wardrobe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michelle-caffeinated-wardrobe/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