Noi1r

Noi1r / beamer-skill

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A Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations. Full lifecycle workflow with quality scoring, pedagogical review, TikZ audit, and more.

86
7
100% credibility
Found Mar 12, 2026 at 73 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TeX
AI Summary

A set of instruction guides that supercharge AI coding assistants to create, compile, review, and refine high-quality academic Beamer LaTeX presentations.

How It Works

1
🔍 Find Slide Helper

You're preparing a lecture and search for an easy way to make professional academic slides, discovering this smart guide for AI helpers.

2
🛠️ Prepare Your Computer

Install free software to create and handle PDF documents, like the tools needed for fancy academic layouts.

3
📥 Get the Guide Files

Download the simple instruction files that teach your AI buddy how to make great slides.

4
📂 Set Up with Your AI

Copy the guide into your favorite AI coding assistant's folder so it knows all the slide-making secrets.

5
💬 Ask AI to Create Slides

Chat with your AI like 'Make a presentation from this research paper' and watch it build a draft step by step.

6
🔍 Review and Polish

Tell the AI to check for errors, improve teaching flow, and make everything look perfect.

7
Compile and Verify

Have the AI turn your slides into a beautiful PDF and double-check it's ready for your talk.

🎉 Deliver Amazing Lecture

Present your polished, professional slides that wow your audience with clear content and smart design.

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AI-Generated Review

What is beamer-skill?

Beamer-skill turns AI coding assistants like Claude Code CLI, OpenAI Codex CLI, and VS Code extensions (Copilot, Cursor) into full-stack tools for academic Beamer LaTeX presentations. It handles the entire lifecycle—create slides from topics or papers, compile via XeLaTeX, run proofreading, layout audits, pedagogical reviews, TikZ checks, and quality scoring—all triggered by keywords like "beamer" or "lecture." Developers get polished, constraint-checked TeX output with features like figure extraction from PDFs and no-overlay designs, solving the drudgery of manual academic slide crafting.

Why is it gaining traction?

It stands out with user-facing hooks like automated quality rubrics (100-point scores deducting for issues), content density limits (max 7 bullets per slide), and benchmarks proving 100% compliance vs. 46% baselines for references, backups, and semantic colors. Multi-platform claude code skills install easily across Claude Code, GitHub Copilot integration, and others, with auto-triggers and PDF figure pulls via claude github mcp. The academic audit suite—grammar, overflow detection, pedagogy patterns—delivers structured reports users actually trust over raw AI output.

Who should use this?

Researchers turning papers into 10-90 minute lectures, profs prepping crypto or biology talks with TikZ diagrams, and PhD students needing backup slides plus Q&A prep. Ideal for academics using claude code review in VS Code or claude github copilot for beamer workflows, especially with pdf-mcp for figure extraction.

Verdict

Grab it if you're in academia chasing polished Beamer slides via claude code install—examples and benchmarks show real value despite 63 stars and 1.0% credibility score signaling early maturity. Test the examples first; low adoption means watch for claude github connector issues, but docs quality makes it low-risk to try.

(198 words)

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