table

Generate publication-quality LaTeX or plain-text tables from econometric regression results.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/sheehe/coase --skill table-sheehe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: table
Source: https://github.com/sheehe/coase/tree/main/%E5%AE%9E%E8%AF%81%E7%A7%91%E7%A0%94%E6%8F%92%E4%BB%B6/econometrics/econometrics/skills/table
Command: npx skills add https://github.com/sheehe/coase --skill table-sheehe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Econometric results often require publication-quality tables that adhere to journal styles. This skill automates the creation of clean, well-formatted LaTeX or plain-text tables from regression outputs across multiple toolchains.

Core Features & Use Cases

  • Generate publication-ready regression and summary tables from Stata (esttab/estout), R (modelsummary, fixest::etable, stargazer), and Python (manual LaTeX generation from statsmodels).
  • Support multi-model and multi-panel layouts with configurable notes, fixed effects indicators, and journal-style formatting (AER, QJE/Replications styles).
  • Use case: transform a set of regression results into a ready-to-submit table with appropriate decimal precision, significance notes, and labels for columns and rows.

Quick Start

Provide your regression results (coefficients, standard errors, and model specifications) and specify the target tool to generate a publication-quality table.

Frequently Asked Questions about table

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create publication-ready regression tables in LaTeX from Stata or R?

To create publication-ready regression tables, provide your regression coefficients, standard errors, and model specifications to this skill, which transforms them into clean LaTeX or plain-text tables using esttab, modelsummary, or stargazer workflows.

Can I format multi-model and multi-panel econometrics tables with fixed effects indicators?

Yes, this skill supports multi-model and multi-panel layouts, allowing you to configure fixed effects indicators, decimal precision, and journal-style formatting like AER or QJE replication styles for your econometric results.

Does this skill work with Python statsmodels for generating LaTeX tables?

Yes, this skill works with Python by providing manual LaTeX generation from statsmodels outputs, enabling you to transform regression results into publication-quality tables across Stata, R, and Python workflows.

What is the best way to apply AER or QJE journal styles to econometric summary tables?

The best way to apply journal styles like AER or QJE is to use this skill's ready-to-use templates, which automatically format decimal precision, significance notes, and column labels for your econometric summary tables.

How do I add significance notes and decimal formatting to plain-text regression tables?

You can add significance notes and decimal formatting by applying this skill's templates to your regression results, which automatically configure appropriate notes, fixed effects indicators, and labels for plain-text or LaTeX tables.