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Found 20 Skills
When the user wants to analyze competitors for SEO, content, backlinks, or positioning. Also use when the user mentions "competitor analysis," "competitor research," "competitor keywords," "competitor backlinks," "link gap," "content gap," "competitor content," "competitive analysis," or "competitor comparison."
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI startup competitive analyses including the Lovable case study (4.3M views, 229K impressions launch day). By @WeiYipei. What's inside: • 4-step research framework (website teardown → social media → traffic sources → ad spend) • 3-version website evolution analysis (V1 / Beta / Launch via Wayback Machine) • X/Twitter propagation chain mapping (4-phase model + single-post teardown template) • Growth flywheel 6-stage scoring system (Activation → Referral → Acquisition → Retention → Revenue → Product) • KOL identification framework (Traffic King / Topic Starter / Mindset Shifter) • Content effectiveness ranking (validated: Visual Demo > User Story > Competitor Comparison) • ICP deep analysis template + Freemium pricing teardown • Complete self-check checklist 🇨🇳 Your competitor just blew up. You have no idea how they did it. Should you tear down their official website? Monitor their social media? Map their growth flywheel? This SOP provides you with a complete methodology from Wayback Machine snapshots to X/Twitter propagation chain restoration to six-stage flywheel scoring. Built from 150+ AI startup competitive analysis practices, including the full Lovable case study. 🇯🇵 Your competitor suddenly went viral. You have no idea how they grew. This SOP provides a complete competitive research framework from Wayback snapshots to Twitter propagation chain analysis to six-stage flywheel scoring. Built from 150+ AI startup analyses. 🇰🇷 Your competitor suddenly grew explosively. You don't know how they grew so fast. This SOP provides a complete competitor research framework from Wayback snapshots to X/Twitter propagation chain analysis to six-stage flywheel scoring. Built from 150+ AI startup analyses. Triggers: "competitor research" | "competitive analysis" | "competitor analysis" | "growth flywheel" | "market research" | "competitor research" | "competitive analysis" | "growth flywheel" | "propagation chain" | "competitive analysis" | "competitor analysis" | "social media teardown" | "Twitter propagation" | "content strategy analysis"
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI startup competitive analyses including the Lovable case study (4.3M views, 229K impressions launch day). By @WeiYipei. Inside: 4-step research framework (website → social → traffic → ad spend) · 3-version Wayback evolution analysis · X/Twitter propagation-chain mapping · growth-flywheel 6-stage scoring · KOL identification · content-effectiveness ranking · ICP + freemium pricing teardown · self-check checklist. New in 1.2: time-machine competitor archaeology — Google date-range search back to pre-fame years, star-history launch-day reconstruction (AppFlowy ~40-channel zero-budget launch teardown), competitor funding news as a launch-timing signal, and the "open source alternative" positioning play. Sourced from first-hand founder interviews (AFFiNE co-founder, 2026-04, self-reported figures marked). 🇨🇳 Your competitor just blew up. You have no idea how they did it. Should you tear down their website? Monitor their social media? Map their growth flywheel? This SOP provides you with a complete methodology from Wayback Machine snapshots to X/Twitter propagation chain reconstruction to 6-stage growth flywheel scoring. Built from 150+ AI startup competitive analysis practices, including the full Lovable case study. 🇯🇵 Your competitor suddenly went viral. You have no idea how they grew. This SOP provides a complete competitive research framework from Wayback snapshots to Twitter propagation chain analysis to 6-stage flywheel scoring. Built from analysis of over 150 AI startups. 🇰🇷 Your competitor has suddenly grown explosively. You don't know how they grew so fast. This SOP provides a complete competitor research framework from Wayback snapshots to X/Twitter propagation chain analysis to 6-stage flywheel scoring. Built from analysis of over 150 AI startups. Triggers: "competitor research" | "competitive analysis" | "competitor analysis" | "growth flywheel" | "market research" | "competitor research" | "competitive analysis" | "growth flywheel" | "propagation chain" | "competitive analysis" | "competitor analysis" | "social media teardown" | "Twitter propagation" | "content strategy analysis"
Research competitor apps on the Apple App Store. Extracts app metadata (title, subtitle, description, rating, reviews, category, developer, version, price) and downloads all screenshots. Use when user wants to analyze a competitor's app, research app store listings, gather competitive intelligence, or download app screenshots. Triggers on App Store URLs (apps.apple.com) or requests like "research this app", "analyze competitor", "get app store info", "download app screenshots".
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。
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]".
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.
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.
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".
Use when analyzing Xiaohongshu account performance, tracking content metrics, researching competitors, or making data-driven decisions to optimize content strategy
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.