LimHyungTae

LimHyungTae / awesome-claudecode-paper-proofreading

Public

Claude Code-driven research paper proofreading prompt

176
18
100% credibility
Found Mar 10, 2026 at 118 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
AI Summary

A set of prompts designed for an AI assistant to proofread LaTeX research papers in robotics and computer vision by first detecting issues and then fixing selected ones.

How It Works

1
🔍 Discover the Helper

While preparing your research paper for a big conference, you find these special guides that let an AI assistant catch mistakes in your writing.

2
📥 Save the Guides

You download the helpful prompt files to a folder on your computer so they're ready to use anytime.

3
📂 Open Your Paper Folder

You go to the folder with your paper files and start your AI writing assistant right there.

4
🧐 Check Paper Setup

You load the first guide along with your main paper file, and the AI carefully scans for setup issues like missing pictures or label problems, listing them clearly with numbers.

5
Pick What to Fix
✨
Fix Everything

Tell it to fix all issues, and watch your paper improve automatically.

➡️
Fix Some

Choose specific numbered issues to fix or skip others.

❌
Skip All

Decide to handle them yourself later.

6
📖 Deep Content Review

Next, you run the second guide with your paper and its printed version, letting the AI act like a tough reviewer to polish language, clarity, and science.

🎉 Paper Ready to Submit

Your research paper is now error-free, clear, and conference-ready, boosting your confidence for submission.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 118 to 176 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is awesome-claudecode-paper-proofreading?

This repo delivers two Claude Code prompts for proofreading LaTeX research papers, targeting robotics and computer vision submissions to venues like ICRA, CVPR, and RA-L. It runs a two-phase workflow inside your paper workspace: first, Claude scans for issues like preamble errors, citation duplicates, and awkward phrasing, numbering them for review; then, you pick what to fix before any changes hit your files. Pair it with Claude Code's context driven development by launching `claude` in your project dir and referencing prompts alongside your main.tex and PDF.

Why is it gaining traction?

Unlike generic grammar tools, these prompts mimic a top conference reviewer—drawing from 100+ real reviews—with checks for overclaiming, figure placement via PDF cross-checks, and notation consistency that generic AIs miss. The detect-first approach in Claude Code spec driven workflow prevents overzealous edits, while modular categories let you tweak priorities. Early adopters in claude code test driven development praise its focus on submission pitfalls, like tense in Related Work or hyphenation rules.

Who should use this?

Robotics researchers polishing ICRA or RSS papers, computer vision folks prepping CVPR drafts, or RA-L associate editors self-auditing. Ideal for non-native English writers from Korean or Japanese labs hitting common LaTeX traps like macro inconsistencies or vspace hacks. Skip if you're not in academia or lack Claude Code setup.

Verdict

Worth cloning for robotics/CV paper drafters—author's creds as RSS Pioneer and ICRA top reviewer add real value despite 34 stars and 1.0% credibility score signaling early stage. Solid docs and no-fuss CLI integration make it low-risk to test, but expect iteration as claude github integration evolves.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.