Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIDeepSeekDeepSeekMuseMuse+22 more

    AI Fashion Guided Selling & Size Recommendation Agent

    2

    Guides fashion shoppers toward the right products, sizes, outfits, alternatives, and purchase links using occasion, budget, style, fit, color, season, and inventory data.

    $10

    /mo

    Subscription · cancel anytime

    Secure checkout via Stripe

    • Always the latest version
    • Delivered live to your agent via MCP
    • Cancel anytime, access ends at period end
    Security scanned
    AI Fashion Guided Selling & Size Recommendation Agent

    AI Fashion Guided Selling & Size Recommendation Agent

    Example session with this skill installed

    A shopper needs a wedding guest outfit under $250 for early autumn.

    Customer details

    • height: 5'4"
    • usual size: M
    • preferred style: elegant
    • preferred colors: navy, emerald, burgundy
    • fit preference: comfortable but polished
    • product links: available
    • inventory data: available
    • size chart: available

    Create a personalized recommendation with

    • top product recommendation
    • recommended size
    • size confidence
    • fit reasoning
    • complete outfit
    • alternative options
    • purchase links
    • return-risk note
    • Read your context and instructions
    • Compiled the ai fashion guided

    === PERSONALIZED FASHION RECOMMENDATION ===

    Shopping goal
    Wedding guest outfit

    Occasion
    Early autumn wedding

    Budget
    Under $250

    Style preference
    Elegant

    Color preference
    Navy, emerald, or burgundy

    Fit preference
    Comfortable but polished

    Customer height
    5'4"

    Usual size
    M

    Top recommendation
    Emerald midi wrap dress

    Recommended size
    M

    Size confidence
    Medium

    Why this works
    A midi wrap silhouette is a strong wedding guest option because it feels polished without being overly formal. Emerald works well for early autumn, and the wrap shape gives more flexibility around the waist than a rigid fitted dress.

    Fit reasoning
    Based on the shopper’s usual size M and the adjustable wrap silhouette, M is the first size to try. If the fabric has no stretch, if the customer is between sizes, or if more bust coverage is preferred, size L may be the safer choice.

    Complete outfit

    • emerald midi wrap dress
    • nude or metallic block heels
    • small gold earrings
    • structured clutch
    • lightweight shawl or tailored coat for cooler weather

    Alternative options

    1. Navy satin midi dress for a more classic evening look.
    2. Burgundy A-line dress for a softer romantic style.
    3. Emerald pleated dress for a more relaxed fit through the waist and hips.

    Purchase links

    • Emerald midi wrap dress: [product link]
    • Nude block heels: [product link]
    • Gold earrings: [product link]
    • Structured clutch: [product link]

    Return-risk note
    Medium. The recommendation is based on usual size and height, but confidence would improve with bust, waist, hip, and the product’s exact fabric-stretch information. If the item is final sale or non-stretch, recommend confirming measurements before purchase.

    Next question
    Would you like the outfit to feel more classic, romantic, or modern?

    $10/mo

    Subscription · always the latest version

    • Secure checkout via Stripe
    • Cancel anytime
    • Delivered live via MCP

    About this skill

    Fashion AI Sales Advisor & Size Recommendation Agent helps online clothing stores, fashion brands, premium boutiques, Shopify stores, WooCommerce stores, and ecommerce teams guide shoppers toward better purchase decisions.

    Many fashion shoppers abandon a store because they are unsure which product, size, color, style, or outfit combination to choose. This skill solves that problem by acting like a digital fashion sales advisor and personal stylist. It recommends products based on occasion, budget, height, usual size, optional measurements, preferred fit, style direction, season, color preferences, product data, size charts, fit notes, customer reviews, return-risk signals, and inventory availability.

    The agent can suggest the best size, explain fit reasoning, provide confidence levels, offer safer alternatives, build complete outfits, recommend shoes and accessories, respect the shopper’s budget, avoid unavailable products, and provide purchase links when product URLs are available.

    It is especially useful for fashion ecommerce stores, boutique brands, premium clothing shops, Shopify stores, WooCommerce stores, and online retailers that receive many sizing questions, high return rates, and abandoned carts caused by customer indecision.

    The skill includes guided-selling flows, size recommendation logic, category-specific fit rules, occasion-based styling playbooks, inventory-aware recommendation logic, return-risk reduction, complete outfit building, ecommerce integration fields, QA scorecards, pilot launch planning, ROI formulas, and sales proposal language.

    It is designed to improve customer confidence, increase conversion rate, raise average order value, reduce sizing support tickets, and lower avoidable size-related returns.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Shopify.

    This skill provides fashion styling guidance, product recommendation logic, size recommendation reasoning, outfit-building workflows, return-risk analysis, ecommerce advisor specifications, and implementation planning. It does not guarantee perfect fit, guarantee lower returns, replace a professional tailor, replace human customer support for complex cases, place orders, process payments, or verify live inventory unless connected to approved store systems.

    Real performance depends on product data quality, size chart accuracy, fit notes, inventory accuracy, customer measurements, brand sizing consistency, product photography, customer expectations, return policy, customer support quality, and ongoing optimization.

    Size recommendations should always be presented as guidance, not certainty. If product data, size charts, fit notes, or measurements are missing, the agent should clearly state the uncertainty and recommend a safer next step.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Free to use

    No account required to browse

    Trust & safety

    Security scan

    Security scan passed 4 months ago

    Permissions

    Read Files
    Write Files

    File Scopes

    *.md
    *.txt
    *.docx
    *.pdf
    *.csv
    *.xlsx
    *.json
    *.yaml
    *.yml
    README.md
    products/**
    catalog/**
    inventory/**
    size-charts/**
    fit-notes/**
    reviews/**
    returns/**
    orders/**
    shopify/**
    woocommerce/**
    fashion/**
    outfits/**
    styling/**
    support/**
    faq/**
    analytics/**
    reports/**
    docs/**

    This skill uses file access to read user-provided product catalogs, size charts, fit notes, product descriptions, inventory exports, product URLs, customer reviews, return reason reports, ecommerce support FAQs, brand voice guidelines, styling rules, and analytics summaries. It uses write access to create structured Markdown/text outputs such as fashion guided-selling blueprints, personalized product recommendation logic, size recommendation frameworks, outfit-building rules, return-reduction audits, ecommerce advisor specifications, QA scorecards, Shopify/WooCommerce implementation notes, sales proposals, pilot plans, ROI estimates, and SKILL.md files. Product catalog, inventory, size chart, review, return report, and ecommerce platform access should only be enabled in approved implementation environments with read-only or least-privilege permissions. The default safe setup does not require unrestricted network access, terminal access, environment-variable access, payment access, production write access, customer database write access, automated discounting permissions, or autonomous order placement.

    Listed4 months ago

    What's inside

    Frequently Asked Questions

    This agent acts as a digital personal stylist and sales advisor, using style preferences, body measurements, and real-time inventory data to provide personalized product and size recommendations. It solves the issues of high return rates due to poor fit and shopping cart abandonment caused by customer indecision.

    The skill includes ready-to-use guided selling flows, size recommendation logic, category-specific fit rules, and sales proposal templates. You also receive ROI formulas and QA scorecards to help you measure the agent's impact on your conversion rates and average order value.

    Yes, the agent is designed with inventory-aware logic and ecommerce integration fields, making it compatible with platforms like Shopify and WooCommerce. It can be configured to verify stock levels and only recommend items that are currently available in the shopper's recommended size.

    Beyond just finding the right size, this agent can build complete outfits—including shoes and accessories—based on specific occasions, budgets, and seasonal trends. It uses 'styling playbooks' to ensure recommendations are fashion-forward and contextually relevant to the shopper's needs.

    The skill is built for modern LLM-based agents and is delivered with clear setup instructions and pilot launch planning. Configuration involves inputting your specific product data, size charts, and style guidelines into the provided framework to go live quickly.

    New in E-commerce