'product' 검색 결과

실물 상품 사진을 바탕으로 형태·색상·소재·로고 위치 등을 유지하는 원칙에 따라 쇼핑몰용 대표·특징·사용 장면 이미지와 확인용 갤러리를 만듭니다.

• 참조 사진으로 상품 대표 이미지를 만들 때
• 한 장으로 상품의 특징을 전달할 때
• 상품을 사용하는 장면을 만들 때

Capture unexpected behavior and workarounds encountered while using Prisma 8, Prisma Compute, or Prisma Postgres. Record symptoms, causes, versions, and reproduction steps in a local log linked to a Linear ticket, checking for duplicates first.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording an unexpected Prisma error and its workaround
• Documenting undocumented behavior found in an example app
• Preserving reproduction steps from a customer report

Route product questions to a specialist for prioritization, research, analytics, experiments, or implementation. Support recurring discovery by tracking interviews and assumption tests, checking how customer needs connect to proposed solutions, and returning results with a concise digest.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing features with an explicit framework
• Planning product experiments and sample sizes
• Tracking weekly interviews and assumption tests

Assess whether a product is mature or declining, then compare extending it, replacing it, or retiring it. Use diagnostic questions, a product portfolio worksheet, and a replacement risk register with backup plans to document the next move.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing between a product refresh, replacement, or retirement
• Checking whether a mature product is entering decline
• Setting consistent plans across an aging product line

Search Taobao and Tmall by keyword and collect product listings with displayed prices, shop names, images, sales figures, and tags. Use price filters, sorting, and pagination to compare products or research multiple keywords.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find products matching a keyword
• Compare listings within a price range
• Research Tmall-only product listings

Collect Amazon product reviews by supplying an ASIN, Amazon's product identifier. BrowserAct returns ratings, review text, publication dates, reviewer details, and verified purchase status without an Amazon login, providing data for feedback research and competitor comparisons.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gathering reviews of competing products
• Collecting feedback to identify product improvements
• Preparing comparisons by verified purchase status

Score product remarkability 1-10 to decide if it's worth promoting. Seth Godin's Purple Cow test. Triggers on: "is this product worth promoting", "should I promote", "product audit", "purple cow", "remarkable product", "is it remarkable", "rate this product", "product quality check", "worth my reputation", "product evaluation", "would I recommend without commission", "product remarkability score", "evaluate this affiliate product", "quality gate for promotion".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate Nano Banana Pro (Gemini 3 Pro Image) prompts for e-commerce product photography. Given a user-uploaded product photo, this skill identifies the main subject, asks the user to choose a scene type, then outputs a professional, ready-to-paste English prompt optimized for Nano Banana Pro's image-to-image capabilities. Use this skill whenever the user uploads a product image and wants to generate an e-commerce photo, product shot, commercial image, or marketing visual using Nano Banana Pro / Gemini. Trigger phrases include: "ecom shot", "电商图", "产品图", "商品图", "product photo", "e-commerce image", "make a product shot", "generate a Nano Banana prompt for this product", "帮我做一张电商主图", "白底图", "商拍", "产品摄影", "hero shot", "packshot", or any request involving turning a casual product photo into a professional commercial image. Also trigger when the user mentions Nano Banana / Gemini image generation with a product photo.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs Amazon-compliant main product images and the 7 secondary image types (Infographic / Multi-angle / Detail Shot / Lifestyle / Variants / What's in Box / Size Reference) — with platform-mandatory main-image rules, conversion-rate-tuned secondary types per product category, and multi-image consistency anchored to the main image URL. Use when the user says "Amazon main image", "亚马逊主图", "product main image", "white background product image", "Amazon listing image", "亚马逊副图", "secondary images", "product carousel images", or any request for the 1:1 product image suite that lives on the Amazon detail page carousel. For A+ Content / detail-page modules (21:9 Hero Banner and 3:2 module layouts), see the `product-shots-detail-page` skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Filter Temu products by multiple dimensions (keyword/product ID/store ID, front/backend categories, price, rating, reviews, total/weekly/daily sales, listing date, fully-managed/semi-managed, semi-managed regions, tags, etc.). Triggered when users mention Temu products, Temu product selection, Pinduoduo cross-border, Temu bestsellers, Temu semi-managed, fully-managed products, Temu product query, or temu items. Even if the user does not mention the tool name, this skill should be triggered whenever searching for products, viewing sales/ratings/prices, or filtering products on Temu.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Filter Shopify standalone store products by multiple dimensions (keyword/URL, price, weekly sales, listing date, Facebook ads, competitiveness, supplier availability, shipping country, etc.). Triggered when users mention Shopify products, Shopify product selection, standalone store product selection, Shopify bestsellers, Shopify dropshipping, standalone store sourcing, Facebook ad products, Shopify product query, or shopify items. Even if the user does not mention the tool name, this skill should be triggered whenever searching for products, viewing weekly sales/revenue/competitiveness, or filtering products on Shopify standalone stores.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Search and filter TikTok global e-commerce products based on FastMoss data, supporting keyword search, multi-dimensional filtering (category, shop type, commission rate, sales, creator count, etc.) and sorting. Trigger when users mention TikTok product selection, TikTok product search, TikTok product data, TikTok creator sales, TikTok commission rate, TikTok bestseller tracking, TikTok GMV analysis, TikTok product search, TikTok product research, TikTok creator sales, TikTok commission rate, TikTok GMV analysis, FastMoss. Even if the user does not explicitly mention "FastMoss", trigger this skill whenever their need involves searching product data or analyzing product performance on TikTok.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Advanced Amazon product search and filtering powered by Nexscope data, supporting multi-dimensional criteria including category, price, monthly sales, keywords, BSR rank, review count, rating, package dimensions, weight, fulfillment type, and more. Trigger when users mention Nexscope product selection, Amazon product search, advanced product selection, BSR filtering, sales rank filtering, keyword-based product discovery, category search, competitor screening, niche product discovery, historical rank filtering, or similar terms. Even if the user does not explicitly mention "Nexscope," trigger this skill whenever the request involves multi-criteria Amazon product search, sales-metric-based filtering, or advanced product selection beyond simple keyword search.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Retrieve Amazon product details by ASIN, including price, title, main image, listing date, material, weight, variant monthly sales, and up to 12 months of monthly sales history. Triggered when users query Amazon product details, ASIN lookup, product pricing, sales rank history, monthly sales trends, product dimensions, FBA fees, product specifications, batch ASIN query, Nexscope product details, ASIN detail lookup, monthly sales data, pricing info, product specifications, FBA fees, batch ASIN query. Even if users do not explicitly mention "Nexscope", this skill should be triggered whenever the task involves obtaining structured product data for one or more Amazon ASINs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

🇺🇸 Your dev team ships features nobody asked for while user-reported bugs pile up for months. Operations blames engineering for ignoring users; engineering blames operations for not understanding technical constraints. This gives you the complete Product × Engineering × Operations alignment SOP — from unified backlog to 10-day sprint cadence to veto power rules. What's inside: • Dual-layer Kanban system (master backlog + sprint board with unified tagging) • 10-day sprint standard process (Day 1 dev → Day 6 testable build → Day 10 ship) • Issue template with reproducibility requirements (3x reported = auto-severe) • Tri-party alignment meetings (daily standup / sprint planning / sprint review) • Operations veto power on releases (P0 bug = block shipping) • User feedback → product iteration closed loop (beta testing + interview SOP) • Core metrics framework (acquisition → activation → retention → monetization → referral) • Technical debt management (20-30% sprint capacity reserved) • Ready-to-use templates: Bug Report, Sprint Planning, Responsibility Matrix Built from: Real product strategy meetings + beta testing frameworks. References Supabase sprint model, Manus/DeepSeek commercialization alignment. By @WeiYipei. 🇨🇳 你的研发团队在做没人要的新功能，用户反馈的 Bug 堆了三个月没人动。运营觉得研发不听用户，研发觉得运营不懂技术。这份 SOP 给你从统一看板到 10 天迭代节奏到一票否决权的完整产研运协同框架。 🇯🇵 開発チームは誰も求めていない機能を作り、ユーザーから報告されたバグは何ヶ月も放置。このSOPは、統一バックログから10日スプリント、リリース拒否権まで、プロダクト×エンジニアリング×オペレーションの完全な連携フレームワークを提供します。 🇰🇷 개발팀은 아무도 요청하지 않은 기능을 만들고, 사용자가 보고한 버그는 몇 달째 방치됩니다. 이 SOP는 통합 백로그부터 10일 스프린트, 릴리스 거부권까지 제품×개발×운영 완전 협업 프레임워크를 제공합니다. Triggers: "product ops" | "engineering operations" | "product development SOP" | "sprint planning" | "iteration management" | "cross-functional alignment" | "product engineering ops" | "dev ops collaboration" | "产研运协同" | "迭代管理" | "产品研发运营" | "プロダクト開発運営" | "제품개발운영"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configure and manage Field Service Lightning inventory: ProductItem (stock at locations), ProductTransfer (stock movement), ProductConsumed (parts used on work orders), ProductRequest/ProductRequestLineItem (replenishment ordering), ProductItemTransaction (audit trail). NOT for work orders, work types, or service appointments — use admin/fsl-work-order-management. NOT for ERP parts and inventory sync — use architect/fsl-integration-patterns. NOT for Omnichannel Inventory (OCI) — use architect/order-management-architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

my-products の product-analytics (web/product-analytics) の apps/<app>/events.yml に、App Store で公開された最新バージョンの記録を足す。app をチェックボックスで選ばせ、App Store の lookup API で最新バージョン・公開日時・リリースノートを取ってエントリを書き、commit する。「events.yml に追記」「審査が通ったので events に反映」「バージョン公開を記録」「my-products-update-apps-event」で発火。ASO 変更・記事公開などバージョン以外の施策だけを記録するときは、手順 4 から先の書式に従って手で書く。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Temu, SHEIN, AliExpress, and TikTok product selection big data analysis agent. Identify trending products, analyze competition, estimate demand, and find sourcing opportunities across fast-fashion and marketplace platforms. Triggers: temu product selection, shein product research, aliexpress trending, tiktok shop products, temu selector, fast fashion products, temu trending, shein trends, product sourcing, dropshipping products, temu winning products

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Find and compare products that fit a budget, size, or compatibility requirement, with prices, images, and product links. Search from photos or social posts, explore secondhand listings, and look for discounts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare products within a budget
• Find a product shown in a photo
• Search Facebook Marketplace for used items

Plan product listings across startup, SaaS, AI, and MCP directories. Assess launch readiness, choose relevant sites, prepare tailored descriptions, and track submissions, published links, and referral results in a structured workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning directory listings for a product launch
• Tailoring descriptions to different directory audiences
• Preparing an MCP server registry submission

Work with John, a product manager persona, to clarify requirements through user interviews and stakeholder alignment. Turn a product vision into a PRD, a product requirements document, and small, validated increments for development.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a product idea into a PRD
• Discovering requirements through user interviews
• Aligning stakeholders on product requirements

Design focused products built around AI APIs, with guidance on prompts, model selection, output validation, and user experience. Track usage and set cost limits to connect product behavior with operating costs and pricing decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design an AI service for a specific task
• Create prompt templates and validate responses
• Track API costs and set usage limits

Build a product strategy across nine connected areas, including vision, target markets, customer value, growth, and competitive advantages. Clarify priorities, work to exclude, success metrics, and assumptions, then propose small experiments to test the strategy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining the direction of a new product
• Aligning target markets with customer value
• Clarifying priorities and work to exclude

Practice spoken answers to product manager interview questions about designing or improving products. Follow six steps to clarify assumptions, choose users, prioritize a problem, and compare solutions before selecting an MVP, a first version with limited scope.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Practicing answers to product improvement interview questions
• Preparing for product design interview questions
• Turning scattered ideas into a clear spoken answer