983 件 ・ 関連度順
概要と使いどころ
Detects insider data exfiltration by analyzing DLP policy violations, file access patterns, upload volume anomalies, and off-hours activity in endpoint and cloud logs. Uses pandas for behavioral analytics and statistical baselines. Use when investigating insider threats or building user behavior analytics for data loss prevention.
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。
Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.
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。
Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs. Activates for requests involving authentication anomaly detection, login behavior analysis, UEBA implementation, or suspicious sign-in investigation.
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。
gogcli（gog コマンド）の専門家スキル。Google Workspace と関連サービス25以上（Gmail, Calendar, Chat, Drive, Sheets, Docs, Slides, Tasks, Keep, Contacts, People, Groups, Admin, Classroom, Forms, Meet, Maps, YouTube, Photos, Sites, Analytics, Search Console, Apps Script, Zoom）をターミナルから操作するGoベースCLIツールの使い方を支援。OAuth2/サービスアカウント認証、マルチアカウント管理、自動化・エージェント安全機能を提供。Use when working with Google Workspace services via CLI, managing Gmail/Calendar/Drive/Sheets, automating Google Workspace tasks, or setting up gogcli authentication.
Manage Cloudflare DNS zones, Workers, Pages, R2, KV, D1, and analytics via REST API. Use when the user wants to query DNS, deploy a Worker, list R2 buckets, manage KV namespaces, run D1 queries, or check analytics without the Cloudflare MCP installed.
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。
Produces marketing performance reports and data-driven recommendations from WooCommerce sales data, social media metrics, and campaign analytics. Use when the task asks for "campaign performance", "ROI analysis", "monthly report", "sales trends", "product velocity", "audience insights", or "KPI tracking". Covers metric definition, reporting templates, slow-mover detection, and insight-to-action 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。
Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.
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。
When the user wants to set up, improve, or audit analytics tracking and measurement.
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。
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready 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。
Design, audit or improve marketing analytics, event tracking, funnels, UTM governance, reporting and decision-grade measurement.
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。
Master orchestrator for B2B SaaS marketing campaigns using the CATALYST framework (Coordinated Agents for Targeted, Analytics-Led, Year-round SaaS Transformation). Coordinates 79 specialist agents across 17 marketing disciplines. Use this skill for ANY large-scale marketing initiative: full GTM launches, annual marketing plans, multi-channel campaigns, quarterly planning, or any task requiring coordination across content, SEO, paid media, social, email, design, sales enablement, product marketing, analytics, project management, and client operations. Also triggers on: marketing strategy, campaign plan, GTM launch, quarterly plan, marketing ops, full-funnel campaign, marketing audit, growth plan.
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。
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
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。
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready 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。
Use when working with Codeium — codeium (Windsurf) AI coding assistant management and analytics. Covers team seat management, usage tracking, language analytics, editor adoption metrics, security policy configuration, and enterprise deployment review. Use when managing Codeium/Windsurf licenses, reviewing team adoption, or analyzing AI-assisted coding productivity.
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 when working with Cloudflare Dns Deep — advanced Cloudflare DNS management covering zone records, DNSSEC configuration, DNS analytics, load balancing pools, health checks, and DNS firewall. Use for deep DNS record management, DNSSEC troubleshooting, DNS traffic analytics, configuring DNS-based load balancing, or auditing DNS security settings.
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。
Expert en technologies éducatives avancées (LMS, MOOC, adaptive learning, gamification, analytics, accessibilité)
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。
Expert en ClickHouse (columnar OLAP, MergeTree, materialized views, real-time 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。
API business builder — Developer experience, rate limits, docs, billing, usage 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。
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
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。
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready 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。
backlog（atoms/pipeline/outputs）と skill ヘルス（usage/duration/unused）を統合分析し 1 レポートで提示する。kawai 氏型 analytics ループの起点。「次に何やる？」「atom 整理」「放置案件」「stale」「振り返り」「retro」「skill 使用統計」「unused skill」「atom-suggest」で発動。
When the user wants to optimize their subscription business end-to-end — from trial start through renewal, cancellation, and win-back. Use when the user mentions "subscription lifecycle", "trial conversion", "churn", "cancellation", "win-back", "lapsed subscribers", "dunning", "billing retry", "grace period", "renewal rate", "subscriber LTV", or "resubscribe". For paywall design and pricing strategy, see monetization-strategy. For subscription analytics dashboards, see app-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。
When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.
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。
Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance best practices. Use when: segment, analytics.js, customer data platform, cdp, tracking plan.
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。