table-generation

The table-generation skill converts JSON or CSV experimental data into publication-ready LaTeX tables using the booktabs package. It supports comparison, ablation, descriptive, and custom table layouts with features like bolding best results, multi-row formatting, and significance marking.

835
Installs
4
Use cases
5/10
Quality

Is table-generation safe to install?

Review the source first

Review the source first: our audit of table-generation's source files found 1 shell command, 0 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes a local Python script to process data files and generate LaTeX code.

How we audit skills: our security review methodology.

Who is this skill for?

Researchers and academics preparing experimental results for LaTeX-based papers.

What can you do with it?

  • Creating comparison tables for model performance
  • Generating ablation study tables with component checkmarks
  • Formatting dataset statistics and hyperparameter summaries
  • Producing custom LaTeX tables from structured data files

How good is this skill?

Quality score: 5/10. The skill documentation is clear, provides specific command examples, and defines the required LaTeX environment for output.

What does the skill file contain?

SKILL.md
# 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
```bash
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-d...

Frequently asked questions

What data formats does the skill accept?

The skill accepts JSON files, CSV files, or inline data.

Which LaTeX packages are required for the generated tables?

The generated tables require booktabs, multirow, multicol, and threeparttable packages.

Can the skill highlight second-best results?

Yes, the skill supports an --underline-second flag to highlight second-best results.

Data sourced from lingzhi227/agent-research-skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

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