A comprehensive personal wardrobe management system for cataloging clothing, planning outfits, and optimizing shopping habits.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wardrobe
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install wardrobe using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Wardrobe?
The Wardrobe skill transforms your AI agent into a personal fashion consultant and digital closet manager. By leveraging Openclaw Skills, it helps you build a structured database of your garments, enabling you to avoid duplicate purchases and curate a more intentional collection. This skill provides a systematic way to track what you own, how often you wear it, and how to style it effectively for any occasion.
Beyond simple inventory, this tool encourages mindful consumption and decluttering. It allows users to visualize their closet through structured files and photos, making it easier to identify style gaps or seasonal rotation needs without digging through physical storage. It is a perfect example of how Openclaw Skills can bridge the gap between digital organization and physical lifestyle management.
Wardrobe Use Cases
- Prevent duplicate purchases by maintaining a real-time inventory of your closet.
- Generate outfit combinations for specific occasions like work, dates, or formal events.
- Manage seasonal rotations by tracking items currently in storage.
- Facilitate mindful shopping by checking the wishlist against existing items before buying.
- Streamline packing for trips using wardrobe-based templates.
- Identify items for decluttering based on wear frequency and condition.
How Wardrobe Works
- The system initializes a dedicated workspace at ~/wardrobe/ to store clothing data and item photos.
- You catalog clothing items by capturing details like type, color, brand, size, and season through natural conversation.
- The agent organizes items into specific subdirectories such as tops, bottoms, and shoes for easy retrieval.
- You can group individual items into outfit files to save successful combinations for future reference.
- The skill tracks wear frequency and seasonal status to optimize closet usage and rotation.
- You query the agent for advice on what to wear or whether a new purchase fits your current collection using Openclaw Skills logic.
Wardrobe Setup
To get started with this skill, ensure your environment is ready by creating the necessary directory structure:
mkdir -p ~/wardrobe/{tops,bottoms,outerwear,shoes,accessories,outfits,seasonal}
touch ~/wardrobe/wishlist.md
Once the folders are created, simply mention a piece of clothing to your agent to begin the cataloging process using Openclaw Skills. The agent will guide you through adding photos and metadata for each item.
Wardrobe Data Schema & Taxonomy
The Wardrobe skill organizes information into a clean, file-based hierarchy to ensure your data remains accessible and human-readable.
| Data Layer | Description |
|---|---|
| Item Metadata | Includes Type, Color, Pattern, Brand, Size, Season, and Formality level. |
| Visuals | Links to photos (flat lay or hanger view) stored within the directory. |
| Outfits | Markdown files (e.g., work-casual.md) listing combinations of tops, bottoms, and shoes. |
| Lifecycle | Optional tracking for purchase date, price, and wear frequency. |
| Storage | Metadata tagging for current location (active closet vs. seasonal storage). |
Wardrobe Advanced Features
- Wear tracking to calculate Return on Investment (ROI) based on cost-per-wear metrics.
- Capsule wardrobe goal tracking to compare current garment counts against target minimalism goals.
- Automated decluttering suggestions for items that haven't been logged as worn in over 12 months.
- Multi-agent support for complex tasks like travel packing and shopping gap analysis.
- Integration points for tracking the value of donated clothing for tax record purposes within Openclaw Skills.
SKILL.md
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