Noi1r

Noi1r / powerpoint-skill

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AI coding assistant skill for creating visually rich PowerPoint (.pptx) presentations with native OMML math, LaTeX formulas, and Graphviz/Mermaid/TikZ diagrams

28
4
100% credibility
Found Mar 13, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A toolkit for AI assistants to create professional PowerPoint presentations from academic papers or notes, featuring rendered math formulas, diagrams, color themes, and built-in quality checks.

How It Works

1
🔍 Discover the slide maker

You hear about a handy tool that helps your AI buddy turn research papers into beautiful slide shows.

2
📥 Add it to your AI

You grab the files and slip them into your AI helper's special folder so it knows this new trick.

3
💬 Ask for slides

You chat with your AI and say something like, 'Create a presentation from this paper,' sharing your notes or document.

4
🎨 AI builds your show

Your AI asks what you need, plans the flow, adds colors, math equations, charts, and pictures to make it perfect.

5
🔍 Review and tweak

You peek at the slides, check for any oopsies like overlaps or fuzzy bits, and give it a thumbs up.

🎉 Ready to shine

You get a polished slide deck that's professional and eye-catching, perfect for your talk or class.

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AI-Generated Review

What is powerpoint-skill?

Powerpoint-skill is a Claude powerpoint skill github project that equips AI coding assistants like Claude, ChatGPT, or GPT with commands to generate professional PowerPoint decks from papers, notes, or topics. Feed it a PDF, and it analyzes content, plans structure, renders native OMML math, LaTeX formulas, and Graphviz/Mermaid/TikZ diagrams, then compiles themed .pptx files via Python and PptxGenJS. Users get actions like `create [paper.pdf]`, `compile [script.js]`, `review [deck.pptx]`, and `extract-figures [pdf]` for quick, visual-rich slides.

Why is it gaining traction?

It outshines generic coding assistants github tools like Copilot or VSCode extensions by enforcing 29 layout rules, quality scoring, and visual QA loops that catch overlaps and density issues—features devs notice in polished, projection-ready output. The 5 themes, math patterns (theorem-proof, etc.), and diagram color injection make technical slides feel pro without manual tweaking, hooking users tired of basic exports.

Who should use this?

PhD students summarizing research papers into talks, professors building math-heavy lectures, or algorithm researchers prepping conference decks with diagrams. Ideal for devs in academia or data science needing GitHub coding agent workflows for visuals, not just code.

Verdict

Grab it if you make technical presentations—strong docs, real example deck, and pdf-mcp integration lower the barrier despite 19 stars and 1.0% credibility score. Early maturity means test thoroughly, but it delivers for niche powerpoint skill levels now.

(198 words)

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