A smart outfit recommender that synthesizes real-time weather data and personal style preferences into actionable daily fashion advice.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ootd
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ootd using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
OOTD is a sophisticated AI-driven utility designed to streamline personal grooming and daily preparation. By operating within the ecosystem of Openclaw Skills, it acts as a digital wardrobe assistant that understands the intersection of environmental factors and personal aesthetics. The skill bridges the gap between raw meteorological data and the practical decision-making required to dress appropriately for the day.
Whether you are preparing for a local commute or planning for travel to a different climate, OOTD processes your specific style profile and inventory to provide tailored suggestions. It moves beyond generic fashion advice by integrating directly with your local workspace files to ensure every recommendation is relevant to what you actually own and how you prefer to present yourself.
To get started, ensure you have installed the necessary dependencies for Openclaw Skills.
USER.md with a brief description of your style (e.g., "I prefer minimalist streetwear").nano ~/.openclaw/workspace/wardrobe.json
ootd
# Or for a specific location
ootd "San Francisco"
The skill relies on a structured workspace environment to deliver personalized results:
| Component | Format | Description |
|---|---|---|
| Wardrobe File | JSON | Contains an array of items with name, type, tags, and temp bounds. |
| User Profile | Markdown | Defines the persona and style preferences used for natural language generation. |
| Weather Skill | Dependency | Provides the real-time environmental context for the recommendation. |
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