⭐ Reviews & Pricing AI Skills

Screen Amazon product niches through Glasser using multiple sources for search demand, ranked offers, customer reviews, price history, and selling economics. Use Jev through Glasser to score evidence-backed opportunities and identify the next validation step; do not turn a preliminary score into a launch recommendation.

Analyze competitor ecommerce price history through Glasser. Match exact Amazon product variants, detect abnormal price increases and decreases, measure their dates and observed duration, explain the surrounding pattern, and optionally compare current merchant offers or propose monitoring thresholds. Use for historical pricing, promotions, repricing signals, and competitor price monitoring.

Analyze Amazon workflows with JustOneAPI, including product Details, product Top Reviews, and best Sellers across 4 operations.

This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when use...

Automated daily Amazon market digest. Given the user's own ASINs (1-10) and any competitor ASINs (up to 20), produces a daily change-detection briefing: price moves, BSR shifts, new entrants in the surrounding category, review wave detection, stockout signals. Output is a triaged alert dashboard (RED/YELLOW/GREEN) comparing today against yesterday's snapshot. Designed for unattended scheduled automation (cron-style daily run). Use when the user EXPLICITLY requests ongoing OPERATIONAL daily monitoring of their products and the surrounding market — a "what changed since yesterday" digest. Use when user asks: set up daily market monitoring for my ASINs, run my daily radar, what changed in my tracked market since yesterday, daily briefing on my tracked ASINs and competitors, emerging-brand or stockout alerts on my watchlist. Establishing monitoring and recurring runs always require the user's explicit opt-in — do not activate on vague update questions. Requires ZOODATA_API_KEY.

One-click market viability assessment for Amazon sellers. Analyzes market size, competition intensity, brand landscape, pricing structure, and consumer pain points to deliver a GO/CAUTION/AVOID recommendation. Uses all 11 ZooData API endpoints with cross-validation for data-backed decisions. Use when user asks about: market entry, can I sell, should I enter, market viability, is this niche worth it, category analysis, market opportunity, market assessment, niche evaluation, product category research. Pick this to EVALUATE a specific niche/category the user already named (one GO/CAUTION/AVOID verdict). To discover what to sell with no target in mind, use amazon-opportunity-discoverer; to track how categories shift over time, use amazon-market-trend-scanner. Requires ZOODATA_API_KEY.

Comprehensive listing health check and optimization engine for Amazon sellers. Scores listings across 8 dimensions, benchmarks against category leaders, identifies keyword gaps, and generates data-backed improvement recommendations. Supports single ASIN or bulk audit (10-100+ ASINs for agencies). Uses all 11 ZooData API endpoints with cross-validation. Use when user asks about: listing audit, listing optimization, listing score, listing quality, improve my listing, listing review, listing diagnosis, title optimization, bullet point optimization, keyword gaps, listing benchmark, A+ content, listing health check, listing comparison. Requires ZOODATA_API_KEY.

Extract and cluster product defect signals from ecommerce reviews to prioritize quality fixes and address low ratings or negative sentiment.

Estimate import duties, tariffs, and landed costs for cross-border ecommerce shipments by HS code and destination. Use when an ecommerce seller is pricing a...

Audit and optimize brand messaging to improve how AI platforms portray your brand. Fix negative AI sentiment signals and strengthen positive brand associatio...

Create a read-only Shopify store performance overview for a day, week, month, or valid custom period. Use it to review sales, orders, promotions, shipping speed, low stock on products that sold, and upcoming seasonal preparation; never use it to change store data, campaigns, or themes.

Use when: user says "每日竞品监控" / "盯一下 ASIN X 的价格变化" / "今天我的排名怎么样" / "我的关键词排名跌了吗" / "竞品有动作吗" / "track ASIN X" / "daily radar" / "Buy Box 被抢了吗". Covers: ASIN 健康体检 + 贴身竞品 SERP 排位 + 类目新进入者扫描 + 主动给"防守/反击"动作建议。可写入基线对比"昨天 vs 今天"。 NOT for: 从 0 到 1 找新 niche (use amazon-product-explorer) / 写 Listing 文案 (use ama

Use when: user asks "what should I sell" / "find a blue-ocean niche" / "is X category worth entering" / "I want to launch a new product in Y" / "从 0 到 1 选品" / "新品立项". Covers: GTM scouting SOP — external demand → niche filter → benchmark products → review pain mining → IP clearance → final go/no-go r

Create Xiaohongshu or REDnote copy from a product, experience, topic, or audience brief. This AI Xiaohongshu copywriter produces title options, a structured note body, cover wording, relevant hashtags, and a natural comment starter for product discovery, local experiences, beauty, food, fashion, travel, and knowledge posts. It then renders a matching vertical 3:4 Xiaohongshu cover built around the chosen title, with a headline-safe composition. Optionally it reads Xiaohongshu itself — the notes already running for the topic, one page of a note's top comments, and an account's own recent notes — so Xiaohongshu research, competitor note analysis and comment analysis rest on the platform instead of on guesswork.

Track Shopify store sales and monitor store performance using PPSPY sales monitoring tools. Create monitoring tasks, inspect hourly and daily sales, and mana...

卖家精灵 Amazon 选品 AI Skills 全集 —— 10 个综合分析工作流（/product-research、/market-analysis、/competitor-analysis 等）+ 17 个战术选品策略卡（新品爆发、ABA 高增长、低品牌垄断、变体拆解等），通过 38 个 MCP 数据工具...

Fetch complete Amazon product data including title, current price, currency, star rating, review count, availability, main image, and product URL. Works from...

Analyze Taobao and Tmall workflows with JustOneAPI, including product Details, product Reviews, and shop Product List across 10 operations.

使用 Reveyes API 批量抓取亚马逊商品评论，支持 20 个站点。 输出完整评论数据（含所有字段），并由 AI 从跨境电商运营者视角深度分析差评， 提供产品质量、物流包装、Listing 准确性、客服反馈、改善优先级等结构化分析报告。 Use when: 用户提到抓评论、查差评、分析竞品口碑、给出 ASI...

Scrape product pages and search marketplace listings through ToolRouter's MCP server - product title, price, variants, images and specs from any store URL (Shopify detected automatically), plus listings from eBay, Facebook Marketplace, Vinted, Gumtree, Craigslist, Mercado Libre, OLX, Rakuten, Carousell, Trade Me and Google Shopping. Use for competitor pricing, product research, resale price checks and listing monitoring.

Finds Instagram UGC creators for brand campaigns using apidojo's Instagram scraper on Apify. Triggers when the user asks to: find Instagram UGC creators for product campaigns, discover micro-influencers posting organic product reviews on Instagram, identify creators for paid partnership posts or product seeding on Instagram, find authentic lifestyle creators in beauty food fitness or home decor, build an Instagram UGC creator list for a DTC brand, or find creators posting about a product category with strong engagement. Returns creator handle, follower count, avg likes, engagement rate, niche hashtags, and bio link. Ideal for DTC brands, e-commerce companies, and influencer campaign managers.

亚马逊商品与类目买家反馈洞察。用于按 ASIN 或 browse node 查询评论主题、主题提及量、星级影响、评价趋势、退货主题和退货趋势，帮助分析产品口碑及类目问题。用户提到亚马逊评论分析、评价主题、差评原因、评论趋势、退货原因、退货趋势、ASIN 口碑洞察、类目反馈、MENTIONS、STAR_RATING_IMPACT、Customer Feedback API 时触发。即使未明确提及 API，只要希望从聚合反馈中判断某个亚马逊商品或类目的常见好评、差评或退货问题，也应触发此技能。

Use when user wants to optimize Amazon product listings, generate product images, improve titles, monitor CTR, or automate end-to-end Amazon product optimiza...

Manage Bring! shopping lists (Einkaufsliste / grocery list) — add, catalog-match, preview, remove, check off items, batch/stdin ops, and default lists. Use when a user wants to set up Bring! or manage shopping-list items. Setup passwords are entered only in the user's own terminal and are never accepted in chat or stored on disk.