
Latex Formatting
Handles LaTeX setup and formatting for academic paper submissions across major ML and NLP venues like NeurIPS, ICML, ICLR, and ACL. You can scaffold a new paper with the right template, run pre-submission checks for anonymization and required sections, or fix common formatting issues like special characters and mismatched environments. The scripts are practical: a checker that validates structure and catches TODOs, a citation validator, and an auto-fixer that cleans up text while preserving math mode. Most useful when you're rushing to meet a conference deadline and need to ensure compliance without manually reading venue specs. Pairs well with compilation and citation management skills.
- skills.sh installs
- 2.3K
- GitHub stars
- 459
- last updated
- Aug 21, 2026
Install
$ npx -y skills add lingzhi227/agent-research-skills --skill latex-formatting --agent claude-codeInstalls into .claude/skills of the current project.
Files
LaTeX Formatting
Set up and manage LaTeX formatting for academic papers.
Input
$0— Action:setup,fix,check$1— Venue name (forsetup) or.texfile path (forfix/check)
Scripts
Pre-submission format checker
python ~/.claude/skills/latex-formatting/scripts/latex_checker.py paper/main.tex --venue neurips --check-anon
Checks: word count, required sections, TODO markers, anonymization, mismatched environments, content stats.
Validate citations and references
python ~/.claude/skills/citation-management/scripts/validate_citations.py \
--tex paper/main.tex --bib paper/references.bib --check-figures
Clean LaTeX text (fix special characters)
python ~/.claude/skills/latex-formatting/scripts/clean_latex.py \
--input paper/main.tex --output paper/main_cleaned.tex
Replaces special/non-UTF8 characters with LaTeX equivalents, skips math environments.
Key flags: --dry-run, --tables-only
Auto-fix after checking
python ~/.claude/skills/latex-formatting/scripts/latex_checker.py paper/main.tex --venue neurips --fix
Sponsors
Details
- Repository
- github.com/lingzhi227/agent-research-skills
- Categories
- AI & Agent Building, Data Science & ML, Debugging
- First seen
- Jun 3, 2026
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