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Found 15 Skills
按ASIN获取并分析亚马逊商品评论，支持15个站点(含美国站)，按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review analysis, positive review analysis, star rating filter, review sentiment analysis, product improvement insights, Vine reviews, competitor reviews, customer feedback时触发此技能。即使用户未明确说"评论"，只要其需求涉及读取、筛选或分析亚马逊商品的买家评论，也应触发此技能。
MPSTATS Ozon 俄罗斯站按品牌下钻商品列表。按 Ozon 品牌展示名（俄语/拉丁）返回该品牌下全部商品的销量、销售额、价格、评分、库存、周转、损失销售额等完整指标，支持多维数值筛选、排序、货币换算。用于品牌对标、竞品分析、品牌商品结构研究、ASIN 级（productId 级）爆款拆解。当用户提到 Ozon 品牌下钻、Ozon 品牌商品、Ozon 竞品品牌分析、品牌结构、品牌 SKU、品牌爆款、Ozon 品牌销售、MPSTATS brand, Ozon brand products, brand drill-down, brand competitor analysis, Russian marketplace brand SKUs, brand revenue share 时触发此技能。即使用户未明确说"MPSTATS"，只要意图是按 Ozon 品牌看该品牌下所有商品及其销量/价格/评分表现，也应触发此技能。
MPSTATS Ozon 俄罗斯站商品搜索与反查。按俄语关键词、SKU、品牌名或卖家名在 MPSTATS 数据库中检索 Ozon 商品，返回商品 ID、标题、品牌和卖家信息，是 Ozon 选品与竞品链路的起点。当用户提到 Ozon 选品、Ozon 商品搜索、俄罗斯电商选品、Ozon 关键词搜索、Ozon SKU 查询、Ozon 品牌搜品、Ozon 卖家搜品、MPSTATS Ozon、Ozon product search, MPSTATS Ozon, Russian marketplace, Ozon SKU lookup, Ozon keyword search, Ozon brand/seller search 时触发此技能。即使用户未明确提到"MPSTATS"，只要其意图是在 Ozon 俄罗斯站按关键词/品牌/卖家发现或反查商品，也应触发此技能。
基于Sorftime数据的亚马逊多维度产品搜索与筛选，涵盖14个站点，支持历史月份快照回看。当用户提到Sorftime产品搜索、亚马逊产品筛选、竞品调研、类目分析、品牌热销、卖家分析、季节性产品、历史快照回看、产品搜索、月销量月销额、ABA关键词找产品、价格范围筛选、新品发现、多条件组合筛选、product search, competitor research, category analysis, brand bestsellers, seller analysis, seasonal products, historical snapshot时触发此技能。即使用户未明确提及"Sorftime"，只要其需求涉及亚马逊产品搜索、筛选、对比或类目/品牌/卖家维度的产品探索，也应触发此技能。
Research your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".
Use when analyzing Xiaohongshu account performance, tracking content metrics, researching competitors, or making data-driven decisions to optimize content strategy
Deep competitive intelligence for any market. Analyzes competitors' products, pricing, customer sentiment, GTM strategy, and growth signals using real web data. Produces battle cards, pricing landscape, and feature matrix. Use when the user wants to understand their competitive landscape, analyze competitors, compare products in a market, or research who they're competing against. Triggers for "who are my competitors", "competitive analysis", "competitor research", "battle cards", "pricing comparison", "competitor pricing", "market players", "competitive intelligence", "competitive landscape", "who else is in this space", "competitive moat", or any request to profile, compare, or map competitors in a category. Works standalone — no prior startup-design session needed.
MPSTATS marketplace analytics API. Use when working with MPSTATS API, Wildberries analytics, Ozon analytics, Yandex Market analytics, marketplace data, product research, sales analytics, competitor analysis, niche research, SKU analysis, seller analytics, brand analytics.
Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter's Five Forces", "market positioning", "moat assessment", "defensibility analysis".
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Triggers: 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]', or any variation requesting multi-source recency intelligence on a topic. Also use for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.
Use when analyzing Xiaohongshu account performance, researching competitor strategies, finding trending topics and hashtags, or needing detailed audience insights beyond platform-native analytics
X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.