data-analysis

Data Analysis handles the full workflow of scientific data exploration: load CSV, Excel, or JSON files; identify and remove missing values, duplicates, and outliers; generate distributions and correlation heatmaps; and run parametric or non-parametric tests depending on your data's characteristics. Fit OLS, logistic, or mixed-effects regression models and export publication-ready results with effect sizes and confidence intervals.

Xlsx handles spreadsheet operations end-to-end: create new files with formulas and styling, read and analyze data using pandas, or modify existing files while preserving templates and calculations. The skill enforces zero formula errors and includes tools for data preview and formula recalculation.

Build production-grade systems in Google Sheets using advanced formulas, Apps Script, and multi-sheet architectures. Learn when Sheets works as a database or CRM, master QUERY and FILTER functions, connect multiple sheets into workflows, and automate tasks like data collection, email alerts, and API integrations without expensive tools.

Convert any data file to another format—CSV, Parquet, JSON, Excel, GeoJSON, and more—in a single DuckDB command. Handles both local and remote files, with support for partitioning and compression options when needed.

Humanize rewrites AI-generated text by disrupting the statistical patterns that detectors like Pangram and GPTZero rely on, then re-renders it in your authentic voice from a saved profile. Load your voice profile first (or generate one with the voice-profiler skill) to get YOU-specific output instead of generic humanization. For best results with classifiers, manually retype or verbally transcribe the output before submission.

Spreadsheet Builder lets you generate and structure spreadsheets through code or simple automation workflows, eliminating repetitive manual setup. Perfect for data-heavy tasks, this skill streamlines the creation of organized, formatted sheets at scale.