Profitable niche discovery for Amazon sellers. Identifies underserved markets with high demand but low competition. Analyzes market gaps, emerging segments, and untapped opportunities across categories. Use when the user asks about finding niches, profitable markets, underserved segments, market gaps, blue ocean opportunities, niche research, or what markets to enter on Amazon.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Amazon Brand Analytics interpretation and strategic insights for Brand Registry owners. Decode Search Frequency Rank (SFR) data, analyze Market Basket patterns, interpret Item Comparison reports, and extract demographic insights to optimize product strategy and advertising spend. Works with Brand Analytics data from all Amazon marketplaces. Requires Brand Registry access. Use when: (1) analyzing Search Frequency Rank data for keyword opportunities, (2) interpreting Market Basket data for cross-sell and bundling, (3) understanding Item Comparison competitive positioning, (4) extracting customer demographic insights, (5) optimizing product portfolio based on customer behavior, (6) building data-driven advertising strategies.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Seller storefront analysis and competitive intelligence for Amazon. Analyzes seller revenue estimation, product portfolio strategy, growth trajectory, and market positioning. Reverse-engineer successful seller strategies and identify expansion opportunities. Use when the user asks about analyzing sellers, competitor seller analysis, seller revenue estimation, storefront analysis, seller strategy, or learning from successful Amazon sellers.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product research questions.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Comprehensive Amazon profit analysis and revenue optimization. Revenue waterfall analysis, hidden fee identification, ACoS impact assessment, return cost calculation, and profitability optimization strategies. Use when the user asks about Amazon profit analysis, profitability calculation, fee analysis, margin optimization, or revenue breakdown.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Trending products and rising categories discovery for Amazon sellers. Analyzes Best Seller Rank patterns, seasonal trends, new release momentum, and emerging niches. Identifies product opportunities before they peak. Use when the user asks about what's trending on Amazon, hot products, rising categories, seasonal opportunities, viral products, what to sell next, emerging niches, or early-mover opportunities. Also trigger for questions like 'what should I sell now?', 'what products are doing well?', 'find me trending niches', or 'what's hot on Amazon?'.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Deep Amazon review analysis for competitive intelligence and product improvement. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from customer feedback. Turn reviews into actionable product development and marketing strategies. Use when the user asks about review analysis, customer feedback, product complaints, sentiment analysis, or what customers think about products.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Amazon sales volume estimator for sellers and product researchers. Estimate monthly sales and revenue from BSR (Best Seller Rank), ASIN, or keyword. Three modes: (A) BSR Calculator — input BSR + marketplace + price + category to get instant sales estimate, (B) ASIN Lookup — input ASIN to auto-fetch data and estimate sales, (C) Keyword Market Analysis — input keyword to analyze total market size and competition. Works on 12 Amazon marketplaces. No API key required. Use when: (1) estimating how many units a product sells per month, (2) sizing a market or niche opportunity, (3) analyzing competitor sales performance, (4) comparing sales across price points, (5) identifying top sellers vs long-tail distribution.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7662026年8月26日 更新
Analyze Java project architecture at macro level - package structure, module boundaries, dependency direction, and layering. Use when user asks "review architecture", "check structure", "package organization", or when evaluating if a codebase follows clean architecture principles.
日本語の概要は準備中です。原文の説明を表示しています。
decebals/claude-code-java☆ 7532026年9月7日 更新
Use when the user already has a FINISHED video and wants Higgsfield to repurpose, restyle, clip or analyze it: Shorts Studio (restyle one 4–120s source video into a set of short-form clips from a style preset), Clipify (turn one YouTube video into subtitled clips), Virality Predictor (predict virality, hook strength, attention, retention risk with a dashboard), or Video Analysis (scene-by-scene breakdown of an uploaded video or a YouTube link). Also use when the user asks which of these cost credits and which are free, 'turn my video into shorts', 'will this go viral', 'score my ad', 'break this video down scene by scene'. Names: shorts_studio_create, shorts_studio_create_preset, shorts_studio_list_presets, shorts_studio_status, clipify, virality_predictor, brain_activity, video_analysis_create, video_analysis_status.
日本語の概要は準備中です。原文の説明を表示しています。
OSideMedia/higgsfield-ai-prompt-skill☆ 7472026年9月27日 更新
Deep bug analysis to break the fix-forget-repeat cycle. Analyzes root cause category, why fixes failed, prevention mechanisms, and captures knowledge into specs. Use after fixing a bug to prevent the same class of bugs.
日本語の概要は準備中です。原文の説明を表示しています。
fy-agent/fyagent☆ 7462026年10月15日 更新
Review affiliate campaign results and improve strategy. Triggers on: "review my results", "what went wrong", "how to improve conversions", "analyze my campaign", "affiliate retrospective", "why am I not converting", "improve my strategy", "what should I change", "campaign review", "optimize my approach", "learn from my results", "post-mortem on my campaign".
日本語の概要は準備中です。原文の説明を表示しています。
Affitor/affiliate-skills☆ 7192026年10月13日 更新
Analyze site's internal link structure and optimize for hub-and-spoke SEO architecture. Triggers on: "optimize internal links", "internal linking", "link structure", "hub and spoke links", "orphan pages", "link equity", "internal link audit", "fix my internal links", "link architecture", "site structure optimization", "internal linking strategy", "link flow", "improve site structure", "find orphan pages", "maximize link equity", "internal link map".
日本語の概要は準備中です。原文の説明を表示しています。
Affitor/affiliate-skills☆ 7192026年10月13日 更新
Generate affiliate performance reports with KPIs and recommendations. Triggers on: "show my affiliate report", "how are my programs doing", "performance review", "earnings report", "monthly affiliate report", "weekly report", "analyze my affiliate earnings", "which program is best", "EPC report", "conversion rate analysis", "revenue breakdown", "campaign performance".
日本語の概要は準備中です。原文の説明を表示しています。
Affitor/affiliate-skills☆ 7192026年10月13日 更新
Analyze YouTube channel and video performance using the YouTube Data API. Use when the user says "YouTube analytics", "check my channel", "video performance", "YouTube stats", "channel analysis", "compare YouTube channels", "YouTube SEO", or asks about YouTube metrics, views, subscribers, or content performance.
日本語の概要は準備中です。原文の説明を表示しています。
OpenClaudia/openclaudia-skills☆ 7152026年10月11日 更新
SEO and competitive intelligence via the SemRush API. Use when asked to research competitors, analyze domains, find keyword opportunities, check backlinks, or estimate traffic. Trigger phrases: "competitor analysis", "domain overview", "keyword research", "backlink check", "traffic estimate", "SEO intelligence", "semrush", "competitive research".
日本語の概要は準備中です。原文の説明を表示しています。
OpenClaudia/openclaudia-skills☆ 7152026年10月11日 更新
Run a full GEO/SEO client analysis for a domain via the Enception external API — start the analysis, poll its status, and download the PDF report covering AI visibility, market research, and competitors. Use when the user says 'run a client analysis', 'analyze <domain> for GEO', 'GEO analysis for <domain>', or 'check analysis status'.
日本語の概要は準備中です。原文の説明を表示しています。
OpenClaudia/openclaudia-skills☆ 7152026年10月11日 更新
Brand monitoring and mention tracking via the Brand.dev API. Use when asked to monitor brand mentions, track sentiment, find PR opportunities, detect logo usage, or analyze brand presence online. Trigger phrases: "brand monitoring", "mention tracking", "brand sentiment", "PR opportunities", "logo detection", "brand.dev", "brand mentions", "media monitoring".
日本語の概要は準備中です。原文の説明を表示しています。
OpenClaudia/openclaudia-skills☆ 7152026年10月11日 更新
Design, plan, and analyze A/B tests with statistical rigor. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, sample size calculation, test duration, multivariate testing, or conversion experiments. Trigger phrases include "A/B test", "split test", "experiment", "statistical significance", "sample size", "test duration", "which version wins", "conversion experiment", "hypothesis test", "variant testing".
日本語の概要は準備中です。原文の説明を表示しています。
OpenClaudia/openclaudia-skills☆ 7152026年10月11日 更新
Conduct full competitor strategy breakdowns across SEO, ads, social, email, pricing, and positioning. Use when the user asks to analyze competitors, benchmark against rivals, understand competitive landscape, find competitor weaknesses, or build a competitive matrix. Trigger phrases include "competitor analysis", "competitive analysis", "who are my competitors", "competitor research", "competitive landscape", "benchmark competitors", "competitor ads", "competitor SEO", "competitor pricing", "SWOT analysis", "competitive matrix".
日本語の概要は準備中です。原文の説明を表示しています。
OpenClaudia/openclaudia-skills☆ 7152026年10月11日 更新
Fetch Google review ratings and review counts for businesses via DataForSEO API. Use when the user asks to check Google reviews, get review counts, compare business ratings, audit Google Maps presence, or analyze competitor reviews.
日本語の概要は準備中です。原文の説明を表示しています。
OpenClaudia/openclaudia-skills☆ 7152026年10月11日 更新
Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave. Use for trading concepts; capability-discovery questions about available analysis lenses, Schools, models, modes, or data sources; attached charts; pasted OHLCV; chart annotation; or asset-plus-timeframe requests across crypto, stocks, or forex. Defaults unselected market analysis to strict ICT/SMC, honors explicit School/source selectors, and fails closed when no native analyzer exists. Phase 1 comparison is Q&A-only; fetch fresh Mobius Quant API data only after the capability gate.
日本語の概要は準備中です。原文の説明を表示しています。
MobiusQuant/OpenMobius-skill☆ 7012026年9月4日 更新
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
日本語の概要は準備中です。原文の説明を表示しています。
mhattingpete/claude-skills-marketplace☆ 6832026年7月25日 更新