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Skills/lingzhi227/agent-research-skills/table-generation
table-generation logo

table-generation

lingzhi227/agent-research-skills
814 installs140 stars
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Installation

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

Summary

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.

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

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

Score

0–100
63/ 100

Grade

C

Popularity15/30

814 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Table Generation skill score badge previewScore badge

Markdown

[![Table Generation skill](https://www.remoteopenclaw.com/skills/lingzhi227/agent-research-skills/table-generation/badges/score.svg)](https://www.remoteopenclaw.com/skills/lingzhi227/agent-research-skills/table-generation)

HTML

<a href="https://www.remoteopenclaw.com/skills/lingzhi227/agent-research-skills/table-generation"><img src="https://www.remoteopenclaw.com/skills/lingzhi227/agent-research-skills/table-generation/badges/score.svg" alt="Table Generation skill"/></a>

Table Generation FAQ

How do I install the Table Generation skill?

Run “npx skills add https://github.com/lingzhi227/agent-research-skills --skill table-generation” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

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. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Table Generation skill free?

Yes. Table Generation is a free, open-source skill published from lingzhi227/agent-research-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Table Generation work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Table Generation works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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