2,352 件 ・ 関連度順
概要と使いどころ
Query Mercado Libre public market intelligence through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
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。
Search Nexscope patents with a required Analytics query expression and return publication details and the full match count. Use this skill when the user asks for this exact ecommerce workflow, analysis, data lookup, or deliverable.
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。
Query Etsy public listing details through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
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。
Retrieve fulltext images (drawings, diagrams, charts) from patent documents by patent ID or publication number. Triggered when users ask about patent images, patent drawings, patent diagrams, patent illustrations, fulltext drawings, patent charts, patent technical drawings, or want to view/download embedded images in patent documents, patent fulltext drawings, patent diagrams, technical drawings, patent images, or Nexscope. Even if the user does not explicitly mention "fulltext drawings," this skill should be triggered whenever their need involves obtaining visual content (drawings, diagrams, charts) from specific patents.
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。
Query Google Patents public search through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
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。
Research public TikTok videos and commerce relationships through Nexscope.
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。
Analyze public Temu category opportunities and keyword demand through Nexscope.
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。
Find visually similar products in the public Temu marketplace through Nexscope.
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。
Mercado Libre product selection data query and analysis via the Nexscope gateway, covering 24 tools for products, catalog, keywords, categories, trends, sellers, reviews, exchange rates, and plan usage across Mexico, Brazil, Argentina, Chile, and Colombia sites. Triggered by: Mercado Libre, MercadoLibre, product selection, product search, category trends, hot keywords, reverse traffic keywords, seller search, review search, exchange rate, plan usage, Lanjing, Mercado product 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。
Search public Temu products and inspect product details and recent history through Nexscope.
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。
Amazon niche market review analysis and consumer sentiment insights. Trigger when the user mentions niche market review analysis, consumer sentiment, user pain points, customer feedback insights, review topic analysis, positive/negative review breakdown, niche market opinion mining, product review sentiment analysis, niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Nexscope data. Even if the user does not explicitly mention "niche market reviews", if their need involves analyzing consumer reviews within Amazon niche markets or understanding customer sentiment at the niche market level, this skill should also be triggered.
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。
Query 1688 public product details through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
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。
Research public TikTok commerce livestreams through Nexscope.
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。
Research public TikTok creators and commerce relationships through Nexscope.
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 keyword Share of Voice analysis, returning brand visibility share across the first 3 pages of Amazon search results (organic/ad/combined), 30-day exact search volume, median PPC bid, and TOP3 ASIN click and conversion data, covering 10 marketplaces. Trigger when the user mentions brand market share, brand voice share, search result brand distribution, Share of Voice, SOV analysis, brand competitive landscape, ad slot share, organic ranking brand share, PPC bid analysis, brand monopoly analysis, keyword share of voice, brand visibility, organic vs sponsored share, brand dominance, PPC bid analysis, search result brand distribution, competitive landscape, weighted SOV, top ASIN clicks conversions. Even if the user does not explicitly mention "Share of Voice" or "SOV", if their need involves analyzing brand market share or competitive landscape in Amazon keyword search results, this skill should also be triggered.
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。
Deep analysis of Amazon niche markets by product ASIN, covering monopoly level, brand concentration, new product success rate, and market opportunity score. Trigger when the user mentions niche market analysis by ASIN, ASIN market research, ASIN niche lookup, monopoly assessment, brand concentration analysis, new product success rate, market demand score, competitive landscape, Amazon sub-market exploration, ASIN niche analysis, niche by ASIN, monopoly level, brand concentration, new product success rate, market opportunity score, competitive landscape, Nexscope data. Even if the user does not explicitly mention "niche market" or "ASIN", if their need involves evaluating the competitive landscape, brand density, or opportunity potential of the niche segment a specific product ASIN belongs to, this skill should also be triggered.
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。
Research public TikTok Shop products and related market entities through Nexscope.
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。
Research public TikTok Shop stores and related entities through Nexscope.
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。
Deep analysis of Amazon niche markets by keyword, covering monopoly level, brand concentration, new product success rate, and market opportunity score. Trigger when the user mentions niche market analysis, keyword market research, monopoly assessment, brand concentration analysis, new product success rate, market demand score, competitive landscape, Amazon sub-market exploration, niche market analysis, keyword market, monopoly level, brand concentration, new product success rate, market opportunity score, competitive landscape, Nexscope data. Even if the user does not explicitly mention "niche market", if their need involves evaluating the competitive landscape, brand density, or opportunity potential of the Amazon market at the keyword dimension level, this skill should also be triggered.
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。
Research public TikTok ads and creative assets through Nexscope.
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。
Perform image-based visual product search on Amazon across 8 marketplaces. Use an image URL to find visually similar products, with optional Nexscope enrichment for sales data. Triggered when users mention Amazon image search, Amazon visual search, find similar products on Amazon, reverse image lookup Amazon, Amazon search by photo, or competitor image search. Even if the user does not explicitly mention "image search," this skill should be triggered whenever a user provides an image URL and wants to find visually matching or similar products 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。
Retrieve Amazon Ads Sponsored Products audience and search-term impression-share reports through Nexscope.
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。
Review a change against issue, RFC, branch, and user-request scope. Use when a broad review needs a dedicated scope/completeness pass or when the user asks whether the implementation actually matches the intended surface.
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。
Use on any core for first-run planning intake — Phase 0 runs the vendored BMAD-METHOD planning shelf, shared by every core, and Phase 1 (mining `04-prd.md` into intent records plus the Add-ons/sync-and-remote-entities decision) is full-stack-app's and pwa-app's shared procedure — identical mechanics, a different decision at step 5/8. Phase 0 also defines compressed intake, the path a user's explicit "just build it" choice takes on full-stack-app, pwa-app, authored, and copywriting cores: one batched round of questions in place of the shelf, writing a thinned archive at the same paths so Phase 1 (or, on copywriting, that core's own mining step), `ux-planner`, and the Re-entry pass all keep their documented source. Also use for the Re-entry pass, which mines new scope into additional intents without re-running the shelf, on any core with a module axis to add an intent to (full-stack-app, pwa-app, authored) — landing-page has none, so its own new-scope path runs through `hedgehog-landing-loop`'s Correction Protocol instead. Invoked by the `planner` agent, which decides the path; don't run standalone. landing-page runs this skill's Phase 0 on first run, then mines the same archive through `hedgehog-landing-loop`'s own planning-intake section, that core's counterpart to this skill's Phase 1. copywriting runs this skill's Phase 0 the same way (full or compressed), then mines the same archive through `hedgehog-copywriting-loop`'s own planning-intake section into a what/audience/register brief — no module axis, so its own new-scope path runs through that loop's Correction Protocol rather than the Re-entry pass below. An authored core runs this skill's Phase 0, then `hedgehog-core-design`, then this skill's Phase 1 mining against the designed layer sequence. A brownfield adoption (`hedgehog-adopt`) never runs this skill's shelf at all — the drivers BMAD elicits are already settled facts of a repo that already exists.
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。