maweiruc

maweiruc / proofread-stat-paper

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Claude Code slash commands for proofreading LaTeX statistics papers — grammar review (phrasing, spelling, punctuation) and technical review (assumptions, logic, notation).

claude-code latex proofreading statistics
18
0
100% credibility
Found May 11, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A collection of AI instructions for proofreading LaTeX statistical papers, checking grammar and technical elements to produce annotated documents and summary reports.

How It Works

1
🔍 Discover the paper proofreader

You find this helpful tool designed to check and improve your statistics research papers.

2
📥 Grab the checker instructions

You download the simple guide files that tell the AI how to proofread.

3
Pick your setup spot
📁
Just this paper

Place the files in your current paper's helper area.

🌍
All your papers

Put them in your main AI tools collection.

4
📄 Load your paper

Open your research paper document in the friendly AI writing helper.

5
✨ Ask for a proofread

Tell it to scan for better wording and grammar or for math logic and details, on the whole thing or just a section.

6
🎨 Spot the helpful marks

Receive your paper back with colorful notes highlighting fixes in red for language and blue for technical bits.

7
📋 Review the full report

Read the organized list of all suggestions, sorted by importance to make it super easy.

✅ Perfect paper achieved!

Your statistics paper is now polished, accurate, and ready to share with confidence.

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Star Growth

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AI-Generated Review

What is proofread-stat-paper?

This Claude Code CLI project delivers two slash commands—/proofread-grammar and /proofread-technical—for scrubbing LaTeX statistics papers. It flags grammar issues like phrasing and punctuation in red annotations, plus technical slip-ups such as shaky assumptions, notation inconsistencies, and logical gaps in blue. Users get an annotated .tex file that compiles to PDF and a running proofread_report.md, solving the pain of manual proofreading for dense academic math writing.

Why is it gaining traction?

Unlike generic grammar tools, it tackles stats-specific gotchas like asymptotic arguments and indexing errors, with targeted sections or line ranges via simple CLI syntax. Free Claude Code skills install in seconds globally or per-project, and it plays nice with Claude GitHub integration for seamless workflows—no pricing surprises at zero cost. Devs dig the demo outputs showing real fixes on planted errors, making Claude Code docs and download a no-brainer for quick wins.

Who should use this?

Stats PhDs and researchers polishing LaTeX manuscripts before submission, especially those verifying assumptions in theorems or methodology sections. Quantitative economists or data scientists drafting technical reports will save hours on notation checks. Anyone with Claude Code installed running deep models for max effort reviews.

Verdict

Grab it from the Claude GitHub repo if you're in stats academia—18 stars and 1.0% credibility score scream early days with thin tests, but solid docs and examples make it a low-risk experiment. Pair with Claude GitHub plugin for polish, not production pipelines yet.

(178 words)

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