table-output — table-output install table-output, philly-evict, community, table-output install, ide skills, LaTeX table generation, machine-readable table output, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Data Analysis Agents needing advanced table output capabilities in LaTeX and CSV formats. table-output is a skill that produces model results and group summaries in machine-readable tables and publication-ready LaTeX format using tools like fixest::etable and knitr::kable.

Features

Writes machine-readable tables to disk in .csv format
Produces publication-ready tables in .tex format using LaTeX
Utilizes fixest::etable and knitr::kable for table generation
Supports config-driven output paths using p_out(cfg, ...)
Includes key meta information in output tables

# Core Topics

table-output install LaTeX table generation machine-readable table output
jfish-fishj jfish-fishj
[0]
[0]
Updated: 3/7/2026

Agent Capability Analysis

The table-output skill by jfish-fishj is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for table-output install, LaTeX table generation, machine-readable table output.

Ideal Agent Persona

Perfect for Data Analysis Agents needing advanced table output capabilities in LaTeX and CSV formats.

Core Value

Empowers agents to generate machine-readable tables in .csv format and publication-ready tables in .tex format using libraries like fixest, knitr, or gt, while keeping output paths config-driven with p_out(cfg, ...).

↓ Capabilities Granted for table-output

Generating model results in LaTeX tables
Producing group summaries in CSV format
Updating analysis scripts to include table output
Creating publication-ready tables with key meta information

! Prerequisites & Limits

  • Requires R scripting environment
  • Output paths must be config-driven
  • LaTeX output preferred in R scripts
Labs Demo

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Boot Container Sandbox

table-output

Install table-output, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

When to use

  • Produce model results (coefficients, marginal effects, event-study/LP estimates).
  • Produce group summaries (means, shares, counts, rates).
  • Update an analysis script that currently writes only free-form text.

Rules

  • Write a machine-readable table to disk (.csv) and a publication table to disk (.tex).
  • Prefer LaTeX output in R scripts (fixest::etable, knitr::kable, or gt).
  • Keep output paths config-driven (p_out(cfg, ...)), never hardcoded.
  • Include key metadata columns when relevant: sample, spec, outcome, reference group, FE/cluster notes.
  • Keep column names stable and explicit (estimate, std_error, p_value, n_obs).

R patterns

  • Prefer fixest::etable(..., tex = TRUE) for regression tables.
  • Prefer a paired coefficients CSV extracted from summary(model)$coeftable.
  • Use knitr::kable(..., format = "latex", booktabs = TRUE) or gt::as_latex() for non-regression tables.
r
1# Regression table (LaTeX)
2tex_lines <- capture.output(fixest::etable(list(m1, m2), se.below = TRUE, digits = 3, tex = TRUE))
3writeLines(tex_lines, con = p_out(cfg, "tables", "model_main.tex"))
4
5# Coefficient CSV
6ct <- data.table::as.data.table(summary(m1)$coeftable, keep.rownames = "term")
7data.table::setnames(ct, c("Estimate", "Std. Error", "Pr(>|t|)"), c("estimate", "std_error", "p_value"))
8data.table::fwrite(ct, p_out(cfg, "tables", "model_main_coefficients.csv"))

Terminal presentation

  • Present key results as a compact Markdown table in terminal responses.
  • Show at minimum: term/group, estimate, standard error, p-value, and sample/spec label.
  • State reference category directly above or below the table.
  • Round for readability (typically 3-4 decimals) while preserving sign and significance.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is table-output?

Perfect for Data Analysis Agents needing advanced table output capabilities in LaTeX and CSV formats. table-output is a skill that produces model results and group summaries in machine-readable tables and publication-ready LaTeX format using tools like fixest::etable and knitr::kable.

How do I install table-output?

Run the command: npx killer-skills add jfish-fishj/philly-evict/table-output. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for table-output?

Key use cases include: Generating model results in LaTeX tables, Producing group summaries in CSV format, Updating analysis scripts to include table output, Creating publication-ready tables with key meta information.

Which IDEs are compatible with table-output?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for table-output?

Requires R scripting environment. Output paths must be config-driven. LaTeX output preferred in R scripts.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add jfish-fishj/philly-evict/table-output. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use table-output immediately in the current project.

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