yunshenwuchuxun

yunshenwuchuxun / latex-paper-skills

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A modular skill-based framework for writing, revising, and managing LaTeX academic papers with AI assistance.

81
7
100% credibility
Found Mar 27, 2026 at 81 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TeX
AI Summary

A collection of smart helper tools and ready examples for creating professional research papers on machine learning and AI topics using guided AI assistance and LaTeX formatting.

How It Works

1
📚 Find the paper helper

You discover this friendly tool on a code-sharing site that helps everyday people create research papers with smart assistants.

2
💡 Pick your idea

You share a simple research topic, like 'ways to make AI learning faster', and the tool starts planning your paper.

3
🗺️ Watch your outline appear

The planner creates a clear map of your main ideas, supporting points, and what evidence you'll need—everything feels organized and exciting.

4
Choose your paper style
📖
Review style

Gather and summarize what's already known on your topic.

🧪
Test style

Design simple checks and gather your own results.

5
📝 Build it step by step

Follow easy checklists to fill in sections, with helpers checking facts and adding trustworthy sources.

6
✅ Review and polish

Smart friends double-check your writing, fix rhythms, and ensure everything cites properly.

🎉 Your paper is ready

Download a beautiful, print-ready PDF of your complete research paper, ready to share with the world.

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AI-Generated Review

What is latex-paper-skills?

This modular, skill-based framework turns AI agents into LaTeX paper writers for academic ML/AI work, handling everything from topic to compiled PDF with verified BibTeX citations and gated workflows that block prose until plans are approved. Feed it a prompt like "Use the empirical-paper-writer skill. Topic: rolling calibration for reservoirs" and it scaffolds outlines, issues-driven drafting, experiment matrices, and multi-agent collaboration via Gemini or Claude bridges. Built around TeX and IEEEtran, it manages revising papers while enforcing no-fabrication rules.

Why is it gaining traction?

Unlike ad-hoc AI prompting, its skill-based design—echoing modular github actions or routers—delivers structured outputs like contribution maps and result backfills, with real showcases of review and empirical papers. Developers hook in their AI runtime for portable, verifiable assistance, standing out from generic chat tools by gating quality via issues CSVs and citation audits. The multi-model support and cloud-experiment templates make it a practical drop-in for paper prototyping.

Who should use this?

ML researchers drafting arXiv surveys or empirical pieces on topics like PEFT or reservoir forecasting, especially those juggling experiments and writing. Academics tired of manual BibTeX hunts or outline churn will appreciate the skill-based assistance for managing revisions. It's ideal for teams with AI CLIs wanting modular frameworks akin to st modular github setups.

Verdict

Grab it for quick paper skeletons if you run Codex CLI or similar—81 stars and 1.0% credibility reflect early days with limited test coverage, but docs and bilingual guides make onboarding fast. Polish outputs manually until maturity catches up; strong prototype potential for academic LaTeX workflows.

(198 words)

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