academic-ppt

To generate a defense-ready PPTX from a LaTeX paper, this skill extracts content from LaTeX sources and structures slides using scene-specific templates. It creates publication-style figures with Matplotlib and fills action-title narratives with speaker notes.

Yes, you can convert a PDF into a conference presentation with speaker notes. The skill performs best-effort content extraction from PDFs and applies conference scene templates, adding timing cues and predicted Q&A to every slide.

Yes, academic-ppt works with Matplotlib and Mermaid for generating slide figures. It uses a dual-engine approach, creating accurate data charts with Matplotlib/Seaborn and concept diagrams with Gemini or a Mermaid fallback.

The best way to create slides with action-title narratives from text descriptions is using this skill's structured pipeline. It transforms text into complete takeaway sentences, validates the story flow via a ghost-deck test, and outputs a complete .pptx file.

Yes, you need Python to run the paper-to-PPTX generation pipeline. The skill relies on Python dependencies including python-pptx for assembly, matplotlib for figures, pymupdf for PDF parsing, and mermaid-cli for diagrams.

A limitation of converting a PDF to a defense presentation is that text and figure extraction is performed on a best-effort basis. For optimal figure generation and narrative structuring, providing direct LaTeX sources or text descriptions yields higher quality PPTX output.