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Table Generation

lingzhi227/agent-research-skills

Turns experimental results from JSON or CSV files into publication-ready LaTeX tables with proper booktabs formatting, bold best results, and multi-row layouts. Handles the four main table types you see in papers: comparison tables (methods vs metrics), ablation studies (component analysis), descriptive tables (dataset stats), and custom layouts. The skill enforces a strict no-hallucination rule, only using numbers from actual data sources, which is exactly the kind of guardrail you want when generating tables for submission. It integrates with standard LaTeX packages and outputs properly formatted tables with captions, labels, and significance markers. Saves you from manually formatting tables in LaTeX, which is always more tedious than it should be.

skills.sh installs
1.7K
GitHub stars
459
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add lingzhi227/agent-research-skills --skill table-generation --agent claude-code

Installs into .claude/skills of the current project.

Files

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.)
SKILL.md on GitHub

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Details

Repository
github.com/lingzhi227/agent-research-skills
Categories
Code Review & Quality, AI & Agent Building, Data Science & ML
First seen
Jun 3, 2026

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