MCPInstall

table-generation

Generate publication-quality LaTeX tables from experimental results. Convert JSON/CSV data to booktabs-styled tables with bold best results, multi-row layouts, and proper captions. Use when creating result tables, comparison tables, or ablation tables for papers.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/lingzhi227/agent-research-skills --skill table-generation
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads table-generation automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Table Generation

Convert experimental results into publication-ready LaTeX tables.

Input

  • $0 — Table type: comparison, ablation, descriptive, custom
  • $1 — Data source: JSON file, CSV file, or inline data

Scripts

Generate LaTeX table from JSON/CSV

python ~/.claude/skills/table-generation/scripts/results_to_table.py \
  --input results.json --type comparison \
  --bold-best max --caption "Performance comparison" \
  --label tab:main_results

Supports: comparison, ablation, descriptive, multi-dataset table types. Additional flags: --type multi-dataset for methods x datasets x metrics layout, --significance for p-value stars, --underline-second for second-best results.

References

  • LaTeX table templates and examples: ~/.claude/skills/table-generation/references/table-templates.md

Table Types

comparison — Main results table

  • Rows = methods (baselines + ours), Columns = metrics/datasets
  • Bold the best result in each column
  • Include mean +/- std when available
  • Use \multirow for method categories (Supervised, Self-supervised, etc.)

ablation — Ablation study table

  • Rows = variants (full model, minus component A, minus component B, ...)
  • Columns = metrics
  • Bold the full model result
  • Use checkmarks for component presence

descriptive — Dataset/statistics table

  • Dataset characteristics, hyperparameters, or summary statistics
  • Clean formatting with proper units

custom — Free-form table

  • User specifies layout and content

Required Packages

\usepackage{booktabs}    % \toprule, \midrule, \bottomrule
\usepackage{multirow}    % \multirow
\usepackage{multicol}    % multi-column layouts
\usepackage{threeparttable}  % table notes

Output Format

Always generate tables with:

  1. booktabs rules (\toprule, \midrule, \bottomrule)
  2. \caption{} and \label{tab:...}
  3. Bold best results using \textbf{}
  4. Table notes via threeparttable when needed
  5. Proper alignment (l for text, c or r for numbers)

Rules

  • Only include numbers from actual experimental logs — never hallucinate results
  • All numbers must match the data source exactly
  • Use $\pm$ for standard deviations
  • Use \underline{} for second-best results when appropriate
  • Keep tables compact — avoid unnecessary columns
  • Use table* for wide tables spanning two columns
  • Add glossary/notes for abbreviated column headers

Related Skills

  • Upstream: data-analysis, experiment-code
  • Downstream: paper-writing-section, paper-compilation
  • See also: figure-generation

FAQ

What does the table-generation skill do?

Generate publication-quality LaTeX tables from experimental results. Convert JSON/CSV data to booktabs-styled tables with bold best results, multi-row layouts, and proper captions. Use when creating result tables, comparison tables, or ablation tables for papers.

How do I install table-generation?

Run npx skills add https://github.com/lingzhi227/agent-research-skills --skill table-generation in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/table-generation/ (personal) or .claude/skills/table-generation/ (project).

Which AI agents can use table-generation?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is table-generation safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains table-generation?

It is published by lingzhi227 in lingzhi227/agent-research-skills. It has 1,640 recorded installs.

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