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    AI Beauty & Skincare Product Matchmaker Agent

    Recommends beauty and skincare products based on skin type, goals, budget, preferences, avoided ingredients, current routine, and availability, then builds routines and bundles.

    Updated Jun 2026
    0 installs

    Free

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    • Downloadable skill package
    • Works with Compatible with ChatGPT Custom GPTs, ChatGPT Agents
    • 3 permissions declared
    • Instant install

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    You say

    Store/brand: GlowLine Beauty Available product catalog: Gel Cleanser A, Rich Cream B, Fragrance-Free Moisturizer C, Brightening Serum D, Retinol Cream E, Mineral Sunscreen F Customer skin type: Sensitive Primary skincare or beauty goal: Hydration and barrier support Budget: Mid-range Routine level: Beginner Current routine: Uses only a basic cleanser at night Products already owned: Basic cleanser Texture preferences: Lightweight but comforting Fragrance preference: Fragrance-free Ingredients to avoid: Fragrance and retinol Ingredients preferred: Ceramides, glycerin, panthenol, soothing ingredients Known sensitivities: Skin becomes red and uncomfortable with fragranced products Makeup use: Sometimes Climate/season: Dry winter climate Need product availability filtering: Yes Need routine type: Starter kit and morning/evening routine Need JSON table: Yes Special constraints: Do not recommend retinol. Do not make medical claims. Keep the routine simple and beginner-friendly.

    Your agent does

    === CATALOG-BASED BEAUTY PRODUCT MATCHING === Store/brand: GlowLine Beauty Customer profile: Sensitive skin, hydration and barrier support goal, beginner routine level, mid-range budget, fragrance-free preference, avoids fragrance and retinol, dry winter climate, occasional makeup use. Filtering logic: Prioritize gentle, fragrance-free, barrier-supportive products. Exclude retinol products and any product with fragrance if identified. Keep the routine simple because the customer is a beginner and reports sensitivity. Eligible products: - Fragrance-Free Moisturizer C - Mineral Sunscreen F, if suitable for sensitive skin and fragrance-free - Gel Cleanser A, only if confirmed fragrance-free and non-stripping Rejected products: - Retinol Cream E: excluded because the customer avoids retinol and has sensitive skin. - Rich Cream B: needs ingredient verification. Exclude if fragranced. - Brightening Serum D: not a first-priority product for a sensitive beginner focused on barrier support. Missing catalog data: - full ingredient lists - price for each product - stock status - fragrance status for Gel Cleanser A - fragrance status for Mineral Sunscreen F - sunscreen SPF and filter type - whether Rich Cream B contains fragrance - whether Fragrance-Free Moisturizer C contains ceramides, glycerin, or panthenol Final recommendation: Sensitive Skin Barrier Starter Kit Core products: 1. Gel Cleanser A Use only if confirmed fragrance-free and gentle. This product would serve as the evening cleanser and optional morning cleanser. 2. Fragrance-Free Moisturizer C This is the core moisturizer for barrier support and daily comfort. It best matches the customer’s fragrance-free preference. 3. Mineral Sunscreen F This is the morning protection step. Recommend only if the formula is suitable for sensitive skin and does not conflict with the customer’s preferences. Morning routine: 1. Rinse with water or use Gel Cleanser A if needed. 2. Apply Fragrance-Free Moisturizer C. 3. Apply Mineral Sunscreen F as the final morning step. Evening routine: 1. Cleanse with Gel Cleanser A. 2. Apply Fragrance-Free Moisturizer C. How to introduce products: Introduce one new product at a time. Start with the moisturizer first, then add sunscreen, then confirm whether the cleanser is comfortable. Patch test each new product before regular use. What not to add yet: Do not add retinol, exfoliating acids, strong brightening serums, fragrance-heavy products, or multiple new active products at once. Bundle value story: This starter kit gives the customer a simple, fragrance-free routine focused on cleansing, moisturizing, and daytime protection without overwhelming sensitive skin. Cross-sell opportunity: After the customer uses the starter kit comfortably, recommend a gentle hydrating serum only if the catalog includes a fragrance-free option with barrier-supportive ingredients. Professional care note: If the customer experiences burning, swelling, open skin, severe redness, persistent rash, or signs of an allergic reaction, recommend stopping the product and consulting a qualified healthcare professional or dermatologist. JSON-ready recommendation table: { "store_name": "GlowLine Beauty", "customer_profile": { "skin_type": "sensitive", "primary_goal": "hydration and barrier support", "budget": "mid-range", "routine_level": "beginner", "preferences": [ "fragrance-free", "lightweight but comforting texture" ], "avoided_ingredients": [ "fragrance", "retinol" ], "current_routine": [ "basic cleanser at night" ] }, "recommendations": [ { "product_name": "Fragrance-Free Moisturizer C", "sku": "not provided", "category": "moisturizer", "price": "not provided", "availability": "unknown", "routine_step": "moisturize", "time_of_day": "morning and evening", "why_it_fits": "Best match for the customer's fragrance-free preference and barrier-support goal.", "usage_frequency": "daily", "ingredients_to_note": [ "verify ceramides", "verify glycerin", "verify panthenol" ], "cautions": "Patch test before regular use.", "bundle_role": "core", "priority": "high" }, { "product_name": "Mineral Sunscreen F", "sku": "not provided", "category": "sunscreen", "price": "not provided", "availability": "unknown", "routine_step": "protect", "time_of_day": "morning", "why_it_fits": "Adds daytime protection to the routine and supports a complete morning skincare routine.", "usage_frequency": "daily in the morning", "ingredients_to_note": [ "verify SPF", "verify fragrance-free status", "verify sensitive skin suitability" ], "cautions": "Do not recommend as primary pick until fragrance status and SPF details are confirmed.", "bundle_role": "core", "priority": "medium" }, { "product_name": "Gel Cleanser A", "sku": "not provided", "category": "cleanser", "price": "not provided", "availability": "unknown", "routine_step": "cleanse", "time_of_day": "evening", "why_it_fits": "Could support a simple cleansing step if the formula is gentle and fragrance-free.", "usage_frequency": "daily evening use if tolerated", "ingredients_to_note": [ "verify fragrance-free status", "verify non-stripping formula" ], "cautions": "Exclude if fragranced or drying.", "bundle_role": "core", "priority": "medium" } ], "excluded_products": [ { "product_name": "Retinol Cream E", "sku": "not provided", "reason": "Excluded because the customer avoids retinol and has sensitive skin." }, { "product_name": "Brightening Serum D", "sku": "not provided", "reason": "Not recommended as a first step because the customer is a sensitive-skin beginner focused on barrier support." } ], "bundle": { "bundle_name": "Sensitive Skin Barrier Starter Kit", "bundle_type": "starter", "products": [ "Gel Cleanser A, if verified fragrance-free", "Fragrance-Free Moisturizer C", "Mineral Sunscreen F, if verified fragrance-free and suitable" ], "value_story": "A simple fragrance-free routine focused on cleansing, moisturizing, and daytime protection." }, "missing_data": [ "full ingredient lists", "product prices", "stock status", "fragrance status for Gel Cleanser A", "fragrance status for Mineral Sunscreen F", "SPF details", "sensitive skin suitability notes" ], "professional_care_note": "For severe, persistent, painful, infected, allergic, or medically concerning skin symptoms, consult a qualified healthcare professional or dermatologist." }

    About This Skill

    Beauty AI Product Advisor & Skincare Routine Builder helps cosmetics stores, skincare brands, beauty retailers, DTC brands, product catalog teams, and e-commerce customer support teams recommend suitable beauty products and build personalized skincare routines. The skill considers skin type, skincare goals, beauty goals, budget, fragrance preferences, texture preferences, avoided ingredients, preferred ingredients, known sensitivities, current routine, product availability, customer experience level, makeup use, climate, season, and catalog constraints. It can create morning routines, evening routines, starter kits, minimalist routines, premium skincare bundles, beauty product quiz results, catalog-based product matches, cross-sell strategies, upsell strategies, JSON-ready recommendation tables, and customer-friendly explanations. The agent is especially useful for beauty retailers that want to help customers choose products more confidently while increasing bundle relevance, cart value, cross-sell opportunities, and repeat purchase potential. It supports customer-first recommendations by explaining why each product fits, what routine step it belongs to, how often it should be used, which products should be avoided, and when a customer should seek professional care instead of relying on cosmetic product guidance. The skill is designed for safe retail personalization. It does not diagnose skin conditions, prescribe treatment, invent product claims, or promise guaranteed skincare results.

    Use Cases

    • Automate personalized skincare routine generation for beauty store customers.
    • Increase average order value through intelligent bundle and cross-sell logic.
    • Standardize cosmetic advice across customer support and sales channels.
    • Map product catalogs to specific skin types and ingredient preferences.

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    Permissions

    Write Files
    Read Files
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    File Scopes

    *.md *.txt *.csv *.xlsx *.json *.yaml *.yml README.md beauty/** skincare/** cosmetics/** product-catalog/** inventory/** ingredients/** recommendations/** routines/** bundles/** cross-sell/** upsell/** quiz/** customer-support/** shopify/** woocommerce/** ecommerce/** crm/** reports/** docs/**

    This skill uses file access to read user-provided product catalogs, inventory files, ingredient lists, product descriptions, product claim sheets, price lists, stock availability files, customer quiz responses, customer preference notes, existing routine notes, beauty bundle notes, cross-sell strategy notes, upsell strategy notes, Shopify exports, WooCommerce exports, customer support templates, and brand guidelines. It uses write access to create structured Markdown/text/JSON-style outputs such as skincare product recommendations, morning routines, evening routines, starter kits, minimalist routines, premium beauty bundles, beauty quiz result outputs, catalog-based matching reports, cross-sell strategies, upsell strategies, product exclusion explanations, customer support responses, routine education notes, JSON-ready recommendation tables, and SKILL.md files. Browser access is useful when the host environment allows public product page review, retailer catalog checking, ingredient page review, or competitor offer analysis. Network access may be useful only in approved environments where the agent is allowed to access public product pages, authorized inventory feeds, or retailer data. The default safe setup does not require terminal access, environment-variable access, private credentials, CMS publishing access, production website write access, payment access, database write access, server access, medical record access, prescription data access, or private health profile access. The skill is intended for cosmetic product guidance, retail personalization, bundle planning, and customer support. It does not provide medical diagnosis, dermatology treatment, prescription advice, or emergency care.

    Compatible with ChatGPT Custom GPTs, ChatGPT Agents, Claude-style workflows, Cursor, Claude Code, Codex CLI, OpenCode, Replit, Shopify beauty stores, WooCommerce beauty stores, custom e-commerce stores, product recommendation workflows, customer support workflows, beauty quiz systems, CRM personalization workflows, catalog merchandising workflows, DTC skincare brands, cosmetics retail systems, product bundle planning, and systems that support structured Markdown instruction files such as SKILL.md. It can also be used manually in any AI chat by pasting the instructions or uploading the SKILL.md file. Actual product recommendations depend on the accuracy of the provided product catalog, ingredient lists, claims, pricing, stock status, availability, product warnings, brand policies, and retail compliance requirements.

    Frequently Asked Questions

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