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    Wardrobe Builder v1

    2

    Turn your photos and shopping order screenshots into a structured, searchable JSON wardrobe database with AI vision and automated linting.

    Free

    2 installsSecurity scanned

    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.

    Item was written to wardrobe.json

    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 use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    2 installs

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    Trust & safety

    Security scanned

    Verified clean 4 months ago

    • Free to download with an account

    Listed4 months ago

    What's inside

    Frequently Asked Questions