Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsWardrobe Builder v1
Turn your photos and shopping order screenshots into a structured, searchable JSON wardrobe database with AI vision and automated linting.
Free
wardrobe-builder-v1
Example session with this skill installed
See the media section on this page for what you can upload to the agent while using this skill. This field does not support pictures.
- Read your context and instructions
- Compiled the wardrobe-builder-v1
Done — added this item to your wardrobe via wardrobe-builder v1.
New wardrobe item
ID: RalphLaurenwhitegraphicprintregularT-shirt
Category: tops
Brand: Ralph Lauren
Type: T-shirt
Photo: items/tops/RalphLaurenwhitegraphicprintregularT-shirt.jpg
Description: White Ralph Lauren Polo Bear crew-neck short-sleeve T-shirt with front bear graphic and Polo Bear text.
Verified
Item was written to wardrobe.json
Photo file exists in the wardrobe item folder
Wardrobe now has 1 item
Lint check: no missing required fields or image issues.
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
wardrobe-builder is a developer-centric asset management system for personal fashion. It transforms messy closet photos, shopping screenshots, and multi-item montages into a clean, structured JSON database. It handles the heavy lifting of OCR brand detection, visual feature extraction (color, fit, material), and automated image processing like background removal or intelligent cropping.
How it works
This skill provides a robust pipeline consisting of a directory scaffolder, an ingestion engine, a safe-write layer, and a linter. It can detect garment boundaries, split composite images into individual items, and map them to a strict schema. To ensure data integrity, it uses a confidence-based review queue—questionable data is flagged for your approval rather than polluting your database.
Supported Tools
- Python-based automation for local file management
- OCR & Computer Vision for attribute tagging
- Lark/Feishu CLI integration for remote photo uploading
- JSON-based local storage (no cloud lock-in)
Why use this skill
Manually tagging a 200-item wardrobe is tedious. Prompting an AI to "remember my clothes" results in hallucinations and lost context. This skill provides a permanent, local "source of truth" that other agents (like stylists) can query reliably. It includes a built-in linter to fix broken image paths and schema violations, keeping your data production-ready.
,example_output:How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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