发现 documentation data analysis 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Expert on external API integration, backend proxy architecture, backend functions, rate limiting, and data fetching strategies. Use when integrating with external services, designing backend functions, or under...
Use when organizing experiment logs, results, and metadata for Python research code.
Basketball statistics formatting using BasketballStats\StatsFormatter for percentages, averages, and totals. Use when displaying stats, calculating averages, or formatting basketball numbers.
Create, edit, and analyze Excel spreadsheets with formulas, charts, pivot tables, and data analysis (Official Anthropic skill)
Create and edit Excel spreadsheets for budgets, expense tracking, event planning, project management, and data analysis. Use for financial and organizational tasks.
AI-powered RCA Copilot for root cause analysis and incident explanation. Use when: (1) Building incident context retrieval from Neptune and DynamoDB, (2) Implementing evidence ranking and root cause candidate g...
Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales
Analyze examples and mock data for name diversity, understanding the context and purpose before suggesting changes. Use when reviewing test data, documentation, or seed data.
Copilot agent for database schema design, ER diagrams, normalization, DDL generation, and performance optimization Trigger terms: database design, schema design, ER diagram, normalization, DDL, database modeli...
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottlene...
Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performan...
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Use when the agent needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, e...
Use when working with SQLMesh projects - creating models, reviewing plans, validating changes, debugging failures, or deploying to production environments.
Data analysis and visualization expert using Python pandas and visualization libraries
Generate intelligent Python project documentation with UML class diagrams, architecture diagrams, and code analysis. Analyzes codebase structure to recommend and create appropriate visualizations for project ov...
Generate well-structured Mermaid diagrams for visual documentation. Use when designing systems, documenting workflows, creating architecture diagrams, or any task requiring visual representation of processes, r...
Build a complete data clustering and visualization pipeline from any data source. Use when the user wants to analyze patterns in text data (GitHub issues, Slack messages, support tickets, code reviews, forum po...
Professional document generator for Active Directory health assessments. Creates executive-quality DOCX reports with consistent branding, proper data visualization, severity-based formatting, and actionable rem...
テスト結果報告書を作成する。テスト完了後の結果報告、品質レビュー時に使う。
Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecasting models.
Customer/user segmentation with actionable insights. Use when identifying distinct customer groups, analyzing segment-specific behavior, profiling high-value segments, or testing segmentation hypotheses.
Systematic investigation of metric changes and anomalies. Use when a metric unexpectedly changes, investigating business metric drops, explaining performance variations, or drilling into aggregated metric drive...
Create concise executive summaries from detailed analysis. Use when preparing board decks, executive briefings, or condensing complex analysis into decision-ready formats.
Conversion funnel analysis with drop-off investigation. Use when analyzing multi-step processes, identifying conversion bottlenecks, A/B testing funnel performance, or optimizing user journeys.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。