Statisticians: the all-in-one AI plugin for your work

Skills for statisticians 17

• statistical analysisPicks the right test, checks assumptions, and writes the APA 7 result, for example a paired t-test with effect size and CI.
• seabornBuilds publication-quality statistical graphics in Python, like a faceted boxplot of treatment groups with confidence intervals.
• agency statistical analystSizes and reads A/B tests, for example telling you whether a 2% lift is real at your traffic level.
• data cleaning guidance assistantGuides missing values, outliers, duplicates, and transformations, for example imputing lab values with a documented rule.
• survey design and analysis assistantRuns a survey end to end, from sample size and question wording to weighted analysis and charts.
• experiment design plannerPlans a full experiment, covering variables, randomization, sample size, ethics, pilots, and timeline for a lab study.

Plus a start-here assistant, the prompt library and the app builder, and for members the daily brief.

Ready-made prompts 24

• Framing Statistical Questions3 prompts, like Translate Request Into Testable Hypotheses
• Designing Surveys And Experiments3 prompts, like Generate Effective Survey Questions
• Cleaning Data And Code3 prompts, like Write A Reproducible Data Cleaning Script
• Running Statistical Tests3 prompts, like Choose The Right Statistical Test
• Building Predictive Models3 prompts, like Plan Feature Selection and Transforms
• Interpreting Results And Uncertainty3 prompts, like Explain Effect Sizes To Non-Statisticians
• Visualizing Data And Results3 prompts, like Select Appropriate Charts

Apps you can build with AI 3

• Reviewed research evidence and writing workspaceKeeps sources, notes, and drafts in one place so your citations stay correct while you write. Demo included.
• Evidence-backed research and reporting workspaceCuts the time from research question to a cited, reviewable report you own. Demo included.
• Research data cleaningApplies reversible, documented cleaning rules you approve, so your dataset stays auditable. Demo included.

AI agents 12

In the download. An agent runs a whole recurring task for you, step by step, and asks you before anything important. Ask your AI: "Run the Product Experiment Sample Integrity Agent". Each one also has a guided set-up with sample data on its page.

• Product Experiment Sample Integrity AgentExperiment samples that are valid before anyone draws conclusions.
• Research Figure Reproduction AgentA reproducible figure bundle whose values and labels match the analysis.
• Research Analysis Assumption AgentEvery analysis has its assumptions checked, with violations decided by the investigator.
• Landing Page A/B Test Planning AgentA single-change test plan that is launched correctly and read at the right time
• Seasonal Outlook Skill AgentShow where outlooks are skillful, where they are not, and whether another method would do better.
• Analysis Plan Deviation Tracker AgentProduce a complete deviation log that matches the analysis actually run to the plan written.
• Process Parameter Window Study AgentDefine an operating window that the data actually support, with extra runs where it is thin.
• Raw Material Variability Study AgentIdentify which raw material attributes drive process outcomes and propose tighter specifications backed by data.
• Public Survey Quality Check AgentA quality report that says how far each survey result can be trusted, with corrected results and ranges
• A/B Test Validity Check AgentA test result read only when the data is valid, with a clear recommendation
• Variety Trial Ranking AgentA consistent, documented variety ranking with uncertainty and a clear note on any site-driven changes.
• Weather Station Data Gap Filling AgentA clean, flagged sensor series where every gap and drift is either corrected by a documented method or left open.

Connections (MCP servers) 12

A guide in the download. A connection lets your AI work in an app you already use. You add only the ones you use: ask your AI "Which apps can you connect to?" and follow the steps on each connection's page.

• Jupyter Notebook MCP serverLet your AI write and run code inside your Jupyter Notebook, cell by cell, and read the results.
• MCPR MCP serverLets your AI run R code in a live session, keep results between steps, and make plots for you.
• BigQuery MCP serverLets your AI look at your BigQuery tables and run SQL queries for you.
• Jupyter MCP serverLet your AI open, edit and run Jupyter notebooks for you while you watch. No install needed.
• Scholar MCP serverYour AI can search academic papers, read them, map citations, and save them into a personal library.
• MATLAB MCP serverLet your AI write and run MATLAB code, make interactive plots, and run long jobs for you.
• Snowflake MCP serverLet your AI ask questions of your Snowflake data and get real answers back in the chat.
• Google Scholar MCP serverLets your AI search Google Scholar and pull ready-made citations for papers you find. No install needed.
• arXiv MCP serverLets your AI search arXiv for research papers and pull up their details and full text. No install needed.
• Google Sheets MCP serverLets your AI read, write, and format your Google Sheets for you, right from the chat.
• DataCharter MCP serverLets your AI query your files and databases locally, with only the columns you allow and private details hidden.
• Excel MCP serverLets your AI create, read and edit Excel workbooks for you, without opening Excel.

Your Grok Bot team 12

• Statistical AnalysisRuns statistical tests and reports results in APA format for academic research.
• StatsmodelsFits and diagnoses statistical models for rigorous inference and forecasting.
• Ab Test SetupPlan statistically valid A/B tests with locked hypothesis, sample size, and pre-launch checklist.
• Data CleanerFinds what is actually wrong in a messy spreadsheet before anyone builds a chart on it.
• PymcBuild, fit, validate, and compare Bayesian models with PyMC for probabilistic inference.
• ShapExplains machine learning model predictions using SHAP values and visualizations.
• Scikit LearnBuild and evaluate classical ML models with scikit-learn pipelines.
• Hypothesis GenerationGenerates testable hypotheses from observations, designs experiments, and produces a structured LaTeX report.
• Data ScientistAnalyzes data, builds models, and delivers actionable business insights from complex datasets.
• Senior Data ScientistDesign experiments, build predictive models, and perform causal analysis from your data.
• Data Interpretation AssistantTurns complex datasets into clear insights, visualizations, and decisions for research scientists.
• Statistical Analysis Workflow AssistantStatistical analysis assistant for research scientists, from data cleaning to meta-analysis.