「analysis」の検索結果

Nexscope Ozon keyword mining: mines Ozon (and Wildberries) related keywords around a seed keyword with multi-dimensional filtering by search volume, growth, product count, seller count, competitor count, price, relevancy, title density, cart-add conversion, etc. Each mined keyword carries a full market profile (monthly search volume, growth, market space, competitor/seller counts, average price, cart-add conversion, top products). Use for Ozon keyword expansion, long-tail keyword mining, and seed keyword opportunity analysis. Trigger when the user mentions Ozon keyword mining, Ozon keyword expansion, Ozon long-tail keyword mining, find related keywords around a term, Ozon blue-ocean keyword mining, Nexscope Ozon, Ozon keyword mining, Ozon keyword expansion, Ozon related keywords, mine Ozon keywords. Also trigger when the intent is to mine Ozon related keywords around a seed term and view market profiles, even without explicitly mentioning 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 visual or keyword-derived competitors from a product image or URL across supported marketplaces. 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。

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。

Search and browse product listings across multiple eBay international sites. Trigger when user mentions eBay product search, eBay listing query, eBay price comparison, eBay market browsing, eBay sold items, eBay auction search, eBay product research, eBay products, eBay pricing, eBay competitors, eBay auctions, eBay market analysis — even if "eBay" is not explicitly mentioned, as long as the need involves searching products on eBay, comparing eBay prices, finding sold listings, or analyzing eBay market data.

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 patent bibliographic (catalog) information from the Nexscope patent database by patent ID or publication number. Triggered when users mention patent bibliographic info queries, patent catalog information, patent applicant queries, patent inventor queries, patent classification codes, patent abstract retrieval, patent citation analysis, patent priority claims, patent application citations, patent examiner information, patent bibliographic data, inventor lookup, applicant lookup, patent classification, patent metadata, Nexscope, or patent citations. Even if the user does not explicitly mention "bibliographic info," this skill should be triggered whenever their need involves querying detailed metadata for a specific patent by patent ID or publication number.

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。

Assess product imagery for TRO, trademark, patent, and copyright infringement risk. 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。

Retrieves patent claims data from Nexscope (Nexscope). Trigger when the user mentions patent claims, claim text, independent claims, dependent claims, claim count, claims tree, claims analysis, claim scope, claim language, viewing the claims section of a specific patent, patent claims, independent claims, dependent claims, claims text, Nexscope. Also trigger when the user requests patent claims information by patent ID or publication number, even without explicitly mentioning Nexscope or 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。

Retrieve detailed Amazon product information by ASIN, including title, Item Highlights when extractable from raw HTML, images, bullet points, specifications, A+ content, pricing, ratings & reviews, variants, and more. Trigger when users mention Amazon product details, ASIN lookup, Item Highlights, product page data, listing analysis, bullet point extraction, product image retrieval, variant inspection, competitor listing research, price lookup, review breakdown, product specification query, or similar terms. Even if the user does not explicitly say "product details," trigger this skill whenever the request involves retrieving structured data from Amazon product pages via ASIN.

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 product discovery and potential bestseller mining via Nexscope data. Triggered when users mention product mining, potential bestsellers, high-conversion product selection, click growth analysis, market growth opportunities, keyword-based product selection, FBA profit screening, niche market product discovery, seller origin filtering, Nexscope data, FBA profitability screening, keyword-based product selection. Even if users do not explicitly mention "Nexscope", this skill should be triggered whenever the task involves keyword-driven Amazon product selection based on conversion rates, click volume, and profitability metrics.

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。

Browse Amazon category nodes by parent identifier or search category metadata by name. 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。

Route Amazon product-selection work across market, keyword, competitor, trend, review, and profitability capabilities. 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 traffic keyword lists for an Amazon ASIN via Nexscope, including traffic source type, conversion type, organic rank, and ad rank with historical month and multi-dimensional sorting. Trigger when user mentions ASIN reverse traffic keywords, traffic keyword list, keyword traffic structure, organic/ad keyword analysis, keyword conversion type, Nexscope traffic keyword, Amazon traffic keywords, reverse ASIN keywords — even if "Nexscope" is not explicitly mentioned, as long as the need involves viewing keyword traffic sources and keyword lists for a specific ASIN.

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 Nexscope data to reverse-lookup traffic keywords for any Amazon ASIN, including organic ranking, ad ranking, search volume, traffic share, organic/paid scores, ABA TOP3 click concentration, click conversion rate, year-over-year search volume changes, and weekly/monthly time windows. Trigger when the user mentions ASIN keyword analysis, ASIN reverse lookup, traffic keyword research, organic ranking query, ad ranking query, keyword position tracking, Nexscope keyword data, competitor keyword peeking, viewing which keywords drive traffic to a product, analyzing keyword performance for a specific ASIN, time windows by week/month/recent N days, ASIN reverse keyword lookup, traffic keywords, organic ranking, ad ranking, search volume, Nexscope keywords, competitor keyword reverse lookup, click concentration, click-to-purchase conversion, week-over-week search volume. Even if the user does not explicitly mention "Nexscope", if their need involves finding keywords associated with a specific Amazon product (ASIN), 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。

Use Nexscope market list capability to filter Amazon niche markets by category dimensions, supporting market size, competition, top concentration, seller structure, new product share, price/rating/margin ranges, and many other criteria for discovering viable markets and evaluating product selection directions. Trigger when the user mentions Amazon market research, niche category research, market opportunity screening, market concentration analysis, new product opportunities, market selection, Nexscope market research, category market research. Even if the user does not explicitly mention "Nexscope", if the need is to screen and evaluate Amazon markets by category dimensions, 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。

Record a causal relationship between two memories in AgentDB — "X caused Y", "A supersedes B", "patch-foo depends-on patch-bar". Use when the user is documenting cause/effect, dependencies, supersessions, or after-action analysis.

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。

Investigating bugs via root cause analysis, reproduction steps, and impact assessment. Investigation-only — finds why bugs occur and where to fix them, no code. Use when a bug needs RCA before a fix.

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。

Integrating OWASP ZAP/Burp Suite/Nuclei, planning penetration tests, executing DAST, and scanning for vulnerabilities. For runtime vulnerability validation. Complements Sentinel static analysis.

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。

Defining KPIs, tracking events, and dashboards: North Star Metric, funnel and cohort analysis, test-intelligence views. GA4/Amplitude/Mixpanel/PostHog. Use when metrics design is needed.

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。

Designing new skill agents via gap analysis, overlap detection, SKILL.md + reference generation, and Nexus integration. Not for task orchestration (Nexus) or format-only audits (Gauge).

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。

Enumerating failure modes via pre-mortem analysis. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.

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。

Designing A/B tests: hypothesis docs, sample size, feature flags, significance analysis, CUPED, SRM detection, switchback experiments. Use when hypothesis validation is needed.

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。

Guide users from coverage analysis to monitor creation. USE WHEN user asks what should I monitor, where are my gaps, improve coverage, or wants a systematic approach to monitoring across their data estate.

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。

Investigate data incidents and find root causes using Monte Carlo's observability data. Guides the agent through systematic investigation: alert lookup, lineage tracing, ETL checks, query analysis, and data profiling. Activates when a user asks about data issues, incidents, alerts, or why data looks wrong.

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。