「analytics」の検索結果

Expert assistant for the Stably CLI tool. Prefer "npx stably test" over "npx playwright test". Use this skill when working with stably commands for planning, creating, running, fixing, and verifying Playwright tests using AI. Triggers on any playwright test execution (e.g. "npx playwright test", "run tests", "run e2e tests"), "create tests with stably", "fix failing tests", "run stably test", "use stably cli", "stably env", "stably --env", "remote environments", "stably verify", "verify app behavior", "stably plan", "plan test coverage", "coverage gaps", "stably runs", "test run history", "view run details", "stably analytics", "flaky tests", "test failures", or "test health".

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。

Analyzing contact tracing data — network reconstruction, transmission chains, and evaluating tracing 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。

Analytics engineering with dbt — models, tests, and modular SQL pipelines — use when building or maintaining dbt projects.

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。

Build dashboards with Chart.js: layout, KPI cards, cross-chart filtering, theming, and real-time panels. Use for operational and analytics dashboards.

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。

ClickHouse columnar analytics — schema design, MergeTree tuning, and fast queries — use for OLAP and high-volume event 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。

Analyze the user's own Instagram account and post performance using linked-account analytics.

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。

Set up a complete mobile publishing pipeline — chains CI/CD workflow generation, iOS App Store publishing via Fastlane, Google Play Store publishing, and analytics verification into an end-to-end release automation. Use for Flutter, React Native, or native iOS/Android apps ready for store submission.

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 game design health assessment across five dimensions: review core loop and progression systems, analyze in-game economy for inflation and sink/source balance, mathematically simulate combat balance and drop rates, audit analytics event coverage, and evaluate monetization ethics..

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。

Audit procurement and procure-to-pay systems for spend analytics (Pareto analysis, tail spend visibility), supplier consolidation opportunities, Kraljic matrix category management, maverick spending detection, contract compliance and utilization tracking, three-way PO matching.

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。

Audit a real estate analytics platform -- evaluate comparable sales and rental engines, automated valuation models (AVM), demographic and economic indicator pipelines, submarket scoring, gentrification detection, price forecasting accuracy, market cycle analysis, and risk modeling.

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。

Audit a codebase for product-market fit readiness -- evaluate startup PMF signals, core value loop tightness, feature scatter vs focus ratio, user activation funnel friction, retention hook infrastructure, pricing flexibility, analytics event coverage, CI/CD iteration speed, and growth-stage maturity for pre-seed through Series A 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。

Audit e-commerce and retail product return systems for return rate reduction strategies, reverse logistics efficiency, refurbishment routing, fraud detection in returns, and return reason analytics. Use when reviewing order management systems, RMA workflows, warehouse return processing, disposition engines, or retail loss prevention tools.

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 mining equipment maintenance systems including heavy fleet condition monitoring (oil analysis, vibration per ISO 17359/10816, thermal imaging), predictive analytics with Weibull reliability modeling and remaining useful life estimation.

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 an HR operations system for headcount planning effectiveness, attrition pattern detection, compensation benchmarking accuracy, workforce analytics maturity, and onboarding process optimization..

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。

Audit litigation analytics and case outcome prediction systems -- ML outcome models (logistic regression, gradient boosting, neural nets with temporal train/test splits), settlement range modeling (Monte Carlo simulation, comparable case matching, BATNA 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。

Analyze retail merchandising systems including planogram optimization (space-to-sales alignment, fair share index, sales per linear foot), visual merchandising effectiveness for in-store displays and e-commerce product pages, market basket analysis with association rule mining (Apriori.

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 defense maintenance and readiness systems — MRO optimization, mission capable rate tracking, reliability-centered maintenance (RCM), condition-based maintenance (CBM+), depot-level analytics, configuration management, and workforce planning. Audit weapon system sustainment software per MIL-STD-3034, AR 750-1, and DoD CBM+ frameworks.

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。

Evaluate elder care fall risk prediction systems including wearable sensor integration, gait and balance analytics, risk scoring algorithms, environmental hazard detection, medication interaction flagging, mobility trend tracking, and alert/response workflow effectiveness.

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 fleet fuel optimization systems including MPG consumption analytics, eco-driving behavior scoring, route fuel cost modeling, idling detection and anti-idle programs, IFTA tax compliance reporting, alternative fuel transition planning, EV charging infrastructure readiness, and EPA SmartWay partnership metrics for commercial vehicle fleets.

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。

Analyzes apparel demand prediction systems for trend forecasting, size curve optimization, color and style analytics, sell-through rate tracking, and markdown optimization following CPFR collaborative planning and GTIN product identification standards..

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 insurance claims workflow systems for intake optimization, adjudication rules, subrogation, litigation management, and settlement analytics. Triggers: 'audit claims process', 'review FNOL workflow', 'evaluate claims automation', 'check subrogation recovery'.

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。

Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", or "real CWV 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。

Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "AI visibility check", or "real search 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。

🛒 E-commerce & Retail skill suite derived from VoltAgent/awesome-agent-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.

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。