latex-tables_skill

Overview

This skill generates publication-ready LaTeX tables for regression results and summary statistics with academic formatting. It produces clean code using booktabs, aligned numeric columns, labels, captions, and notes for standard errors and significance stars. The output is ready to drop into a LaTeX document and easy to adapt to journal styles.

How this skill works

You tell the skill the table type (regression, summary, balance), the software that produced the output (Stata, R, Python), and any journal/style constraints. The skill builds a LaTeX table using booktabs, optional threeparttable for notes, aligned numeric columns, and a caption/label. It also adds significance stars, standard-error rows, and a compact notes block, and returns brief compilation and refinement instructions.

When to use it

• Converting regression output from Stata, R, or Python into LaTeX
• Standardizing table style across a manuscript or replication package
• Preparing summary statistics or balance tables for appendices
• Adding clear notes, significance stars, and labels for submission
• Creating multi-model side-by-side regression tables

Best practices

• Keep tables as narrow as possible; prefer compact variable names and abbreviations
• Use booktabs for horizontal rules and threeparttable for notes when needed
• Align numeric columns on the decimal point for readability
• Include clear captions, labels, and a notes block explaining standard errors and stars
• Test compile with your target LaTeX class and adjust column widths or font size for fit

Example use cases

• Three-column regression table with controls and fixed effects, plus standard errors in parentheses
• Summary statistics table with mean and standard deviation columns and sample size
• Balance table for pre-treatment covariates with mean differences and p-values
• Appendix tables formatted to AEA-style with notes and data source line
• Quick conversion of a Python/R model summary into ready-to-use LaTeX code