statistical-power-calculator
Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.
Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.
Creates effective data visualizations using various libraries and tools, with focus on clarity and insight communication. Trigger keywords: chart, graph, plot, visualization, dashboard, matplotlib, d3, plotly, visualization.
Identify and validate profitable business opportunities by analyzing market size (TAM/SAM/SOM), unit economics, competitive landscape, and PMF indicators. Generates comprehensive HTML reports with opportunity scorecards.
WCAG-compliant Mermaid diagrams using verified accessible color palette. Use when creating diagrams, flowcharts, or any color-dependent visualizations requiring accessibility compliance for color blindness.
Extract extreme response values with linked statistics from OrcaFlex simulations. Use for design load identification, max/min extraction with associated values, and extreme event characterization.
Publication-quality tables in Python with rich styling, formatting, conditional formatting, and export to HTML/images - inspired by R's gt package
Generates concise summaries of log content using type-specific summarization templates
获取A股数据(baostock)并缓存到本地CSV文件,避免MCP返回大量数据占用上下文。触发场景:(1)获取超过100条的K线数据 (2)需要多次查询同一股票数据 (3)需要用grep/awk分析数据 (4)用户提到"保存数据"或"缓存数据"
Fix markdown table alignment and spacing issues. Use when formatting tables in markdown files, aligning columns, normalizing cell padding, or ensuring proper table structure. Triggers: markdown table, table alignment, table formatting, md table, align columns.
Creates and edits Mermaid diagrams for flowcharts, sequence diagrams, ERDs, state machines, architecture diagrams, process flows, timelines, and more. Use when user mentions diagram, flowchart, mermaid, visualize, refactor diagram, sequence diagram, ERD, architecture diagram, process flow, state machine, or needs visual documentation.
Create D3.js charts and interactive data visualizations. Use when building bar charts, line charts, scatter plots, pie charts, force-directed graphs, geographic maps, or any custom data visualization.
PolicyEngine aggregation patterns - using adds attribute and add() function for summing variables across entities
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
Guide selection and interpretation of statistical hypothesis tests. Use when: (1) Choosing appropriate test for research data, (2) Checking assumptions before analysis, (3) Interpreting test results correctly, (4) Reporting statistical findings, (5) Troubleshooting assumption violations.
Create evidence synthesis matrices for systematic reviews. Use when: (1) Organizing extracted data, (2) Comparing study characteristics, (3) Identifying patterns across studies, (4) Preparing synthesis for manuscripts.
Conduct subgroup analyses to examine effect moderation. Use when: (1) Testing pre-specified moderators, (2) Exploring heterogeneity, (3) Identifying differential effects, (4) Meta-analysis synthesis.
Interpret statistical results correctly and comprehensively. Use when: (1) Writing results sections, (2) Discussing findings, (3) Avoiding common misinterpretations, (4) Reporting effect sizes and confidence intervals.
Analyze policy impacts for congressional districts and representatives' constituents. Use when the user mentions a specific district (NY-17, CA-52), a representative's name, or asks about geographic policy impacts at district level. Provides HuggingFace district datasets.
Conduct sensitivity analyses to test robustness of findings. Use when: (1) Testing assumption violations, (2) Meta-analysis robustness, (3) Handling missing data, (4) Examining outliers.
Create publication-quality data visualizations. Use when: (1) Presenting results, (2) Exploratory data analysis, (3) Manuscript preparation, (4) Grant proposals, (5) Presentations.