About table-generation
A skill that converts experimental data into publication-ready LaTeX tables. It supports comparison, ablation, descriptive, custom, and multi-dataset layouts, with options for highlighting results.
Key features
- 01Generates LaTeX tables from JSON or CSV
- 02Supports comparison and ablation layouts
- 03Highlights best and second-best results
- 04Adds significance markers and captions
Use cases
- 01Formatting experiment results for a paper
- 02Creating multi-dataset comparison tables
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ lingzhi227/ agent-research-skills --skill table-generationAfter installing, type/table-generationin Claude Code to confirm it loaded.
Bundled filesreferences/table-templates.mdscripts/results_to_table.py
Details
From the project READMETable 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
\multirowfor 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:
booktabsrules (\toprule,\midrule,\bottomrule)\caption{}and\label{tab:...}- Bold best results using
\textbf{} - Table notes via
threeparttablewhen needed - Proper alignment (
lfor text,corrfor 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
Comments
Markdown supported