Design data analysis from purpose clarification to visualization. Use when analyzing data, exploring BigQuery schemas, building queries, or creating Looker Studio reports.
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Design data analysis from purpose clarification to visualization. Use when analyzing data, exploring BigQuery schemas, building queries, or creating Looker Studio reports.
1. **Purpose**: Define what to visualize (link to design doc with KPIs)
Add product analytics events to track user interactions in the Metabase frontend
Analytics and data analysis workflow skill
analytics-frameworks
analytics-interpretation
Process YouTube analytics to extract actionable insights
Analytics and conversion tracking for lead generation websites. Use when implementing GTM, GA4, or any measurement. Works with astro-architecture for GTM setup. No CRO mérés nélkül vakrepülés.
Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visualization, Recharts.
Activate for marketing analytics, KPI tracking, reporting dashboards, attribution analysis, and performance optimization. Use when analyzing campaign data, creating reports, or measuring marketing ROI.
Real-time analytics with Redis counters, periodic PostgreSQL flush, and time-series aggregation. High-performance event tracking without database bottlenecks.
Define analytics tracking plan for features and initiatives
Создание профессиональных аналитических справок по финансам, экономике и юриспруденции в формате HTML. Два дизайна на выбор — dark-premium (тёмная тема с золотыми акцентами) и analytics-green (светлая тема с бирюзовыми акцентами). Создаёт две версии — статичную для мобильных устройств и интерактивную для компьютеров. Использовать при запросах на создание аналитических отчётов, финансовых справок, экономических обзоров, юридических заключений, сравнительных анализов, инвестиционных меморандумов.
Define the scope of analytics efforts by identifying relevant metrics, data sources, and analysis approaches. Use when framing pilot analysis questions, selecting KPIs, or aligning data feeds to business objectives and stakeholder needs.
You're a data leader who has built analytics functions at hypergrowth companies.
Comprehensive brownfield architecture analysis for existing codebases. Discovers structure, identifies patterns, assesses quality, calculates production readiness, and provides actionable recommendations. Use when analyzing existing codebases to understand architecture, assess quality, or prepare for modernization.
Deep attachment analysis with extraction, importance classification, and content analysis for emails and threads.
Perform an interactive, chunk-by-chunk review of changes in a PR or branch. Explain what each logical change does, then critique for potential issues.
Export and analyze VS Code Copilot chat logs for retrospective metrics. Extracts model usage, tool invocations, approval patterns, and timing data.
Parse and analyze CI failure logs to identify root causes and error patterns. Use when CI builds fail to understand what broke.
Analyze failed GitHub Action jobs for a pull request.
Examine code organization and identify structural patterns. Use when reviewing module design.
外部ライブラリや他言語で書かれたコードの実装を分析して知見を得る
Deep code analysis using consultant agent. Identifies technical debt, risks, and improvement opportunities.
Analyze a codebase to generate a comprehensive architecture and structure report. Use when user wants to understand a codebase, explore project structure, or generate analysis.
用「庫存快速回補」作為短期警戒訊號，評估銅價是否接近短線高點，同時給出一個「長期是否偏便宜」的歷史分位數判讀。
用跨資產訊號（全球股市韌性 + 中國利率環境）評估銅價能否突破關卡或進入「回補/回踩」到支撐的機率與路徑。
用公開資料量化「銅供應是否過度集中、主要產地是否結構性衰退、替代增量是否依賴少數國家」，並輸出可行的中期供應風險結論與情境推演。
Quick single email analysis - read metadata, content summary, and list attachments without extracting them.
Parse and interpret mathematical equations from research papers. Use when extracting formulas for implementation.
當接收到新需求或 Event Storming 產出後觸發。分析問題類別（CBF/IDF/RIF），生成完整的規格目錄結構。實現「需求與實作分離」、「規格即文檔、文檔即規格」。
Orchestrate 3-stage friction analysis workflow across conversations. Extracts raw friction, abstracts patterns, and presents for approval. Use when user wants to analyze conversation history for improvement opportunities.
Perform a thorough line-by-line analysis of a function, explaining not just what the code does but why it's written this way.
在「失業率走高／勞動市場轉弱」但「名目或實質 GDP 仍維持高位（或仍在成長）」的情境下，依據歷史關聯估算美國財政赤字占 GDP（Deficit/GDP）可能擴張的區間，並生成對長天期美債（長久期 UST）供給/利率風險的情境解讀。支援視覺化圖表輸出。
把「獲利成長 × 財務狀況（金融環境）」映射成「投資時鐘」，判斷目前落在哪個象限、近期是順時針還是逆時針旋轉、以及相對於上一輪循環的位置差異。
Analyze a GitHub issue and create detailed analysis in workflows/
以日本公債殖利率變化為觸發，量化「政府利息支出 / 稅收」負擔（含情境壓力測試），並判斷是否進入債務利息螺旋風險區。
從日本保險公司對超長期（10年以上）JGB 的淨買賣時間序列，自動產出「本月是否創紀錄淨賣出、連續淨賣出月數、期間累積淨賣出」等結論。
Analyzes a job offer for fit with the Candidate's profile and recommends an application strategy. Use before considering a new job offer.
Analyze log files by stripping ANSI escape sequences first. Use when asked to process, handle, read, or analyze log files that may contain terminal escape codes.
Systematically analyze a Magento 1 module to determine its purpose, usage, and migration requirements for Magento 2. Use when you need to decide whether to migrate a M1 module, find alternatives, or skip it.
用公開市場數據檢查「利率波動率（MOVE）是否對利率事件（如 JGB 殖利率變動）不恐慌，並且是否領先帶動 VIX / 信用利差走低」。
Go プロジェクトのパフォーマンスを計測・分析する。「パフォーマンス計測」「ベンチマーク」「perf」「性能測定」「プロファイリング」「最適化提案」「パフォーマンス分析」などで起動。ベンチマーク実行、プロファイリング、改善案の提示をサポート。
パフォーマンスボトルネックを特定し、最適化提案を提示
Evaluation framework for analyzing decision-making quality across five dimensions.
Analyze code review pipeline performance for a specific PR. Use when investigating slow PRs, identifying bottlenecks, or debugging performance issues in code reviews.
Analyze existing PRDs to generate actionable implementation plans, risk assessments, and resource estimates
LLM-based architectural analysis that transforms raw project data into meaningful structure
Grade component health based on regression triage metrics for OpenShift releases
This skill performs thorough analysis of Rust libraries to find optimization opportunities. It should be used when reviewing Rust code for performance improvements, memory efficiency, or when profiling indicates bottlenecks. Focuses on runtime performance and memory usage through dynamic profiling tools and static code analysis.