MCP App StoreMCP App Store
from inferentialmistakes12
A rigorous 10-point statistical audit for movement science and neuroscience research to prevent common inferential mistakes.
This skill has not been reviewed by our automated audit pipeline yet.
Plotly (Interactive Python Visualizations)
Interactive Python visualization skill for building hoverable, zoomable, and embeddable charts (Plotly Express + Graph Objects) for EDA, dashboards, and present
CTX Link Check — Documentation Link Auditor
Scan project markdown for broken internal links, missing images, and unreachable external URLs; produce a clear report and suggested fixes before docs releases.
Scientific Exploratory Data Analysis
Human-guided, defensive exploratory data analysis for scientific datasets: capture context first, propose one step, run disposable scripts, and keep an append-o
Visualization Best Practices
Provides step-by-step guidance and production-ready patterns for creating clear, accurate, and effective data visualizations in analytics workflows.
Stata MCP
Run and debug Stata workflows via a local MCP Stata server: execute commands, load datasets, inspect variables, run .do files, and export graphs from within cha
Skill Evolve
Iteratively improve an existing Agent Skill by observing real outputs, extracting recurring failure patterns, and applying small, verifiable fixes (OTF + JIT +
Statistical Significance Calculator
Guides data-analytics workflows to compute and interpret statistical significance, with step-by-step calculations, code snippets, and validation checks.
Walmart Sales Data Deep Analyzer
Analyze Walmart weekly sales versus unemployment to produce charts, regression analysis, and a polished HTML report with business recommendations.