# Latex To Ppt > Generates a rich, structured PPT Markdown (20-30 slides) from a LaTeX thesis or academic paper, ready for use in Gamma, Kimi, or similar AI presentation tools. Use this skill when a user wants to create a presentation from their thesis or research paper. - Skill: `haimbeau1o/latex-to-ppt` (Agent Skill, multi-file: 3 files) - Install (CLI): `npx skillmds@latest add haimbeau1o/latex-to-ppt` - Raw SKILL.md: https://api.skillmd.com/api/skills/haimbeau1o/latex-to-ppt/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Docs & Writing - Author: haimbeau1o (https://skillmd.com/u/haimbeau1o) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/haimbeau1o/latex-to-ppt --- # LaTeX Thesis → PPT Markdown Generator This skill converts a LaTeX academic thesis into a high-quality, visually structured PPT Markdown (20–30 slides) ready for import into Gamma, Kimi, Beautiful.ai, or any AI presentation generator. ## When to Use This Skill Use this skill when the user wants to: - Create a thesis defense presentation from their `.tex` file - Generate structured slides from academic research - Produce a high-quality presentation for academic/conference use --- ## Step 1: Read the Thesis Read the LaTeX thesis file thoroughly. Extract the following: 1. **Title, Author, Supervisor, Affiliation, Date** (from cover page) 2. **Abstract** (both Chinese and English if present) 3. **Chapter structure** (all `\chapter{}` and `\section{}` headings) 4. **Core technical content** per chapter: - Problem motivation and significance - Proposed methods/models and their components - Key formulas and their intuitive meaning - Experimental setup (datasets, baselines, metrics) - Main experimental results (tables, figures, key numbers) - Ablation study highlights - Visualization insights (attention heatmaps, etc.) 5. **Conclusion & Future Work** 6. **Any numeric results** that make strong talking points (e.g., "MSE reduced by 6.7%") > Tip: Pay special attention to `\caption{}` text in figures and tables — these are often the most slide-ready summaries. --- ## Step 2: Design the Slide Structure Plan the slides before writing. A good thesis presentation has **three layers**: 1. **Context Layer** (slides 1–5): Why does this problem matter? What's been tried? What's still missing? 2. **Method Layer** (slides 6–18): What did we propose? How does it work? Walk through components modularly. 3. **Validation Layer** (slides 19–25): What did the experiments show? What does ablation reveal? What do visualizations tell us? 4. **Wrap-up** (slides 26–28): Conclusions, future directions, Q&A. For a **two-work thesis**, allocate approximately equal depth to each work, with a clear "bridge" slide explaining the progression from Work 1 → Work 2. --- ## Step 3: Write the PPT Markdown Write a complete Markdown document that can be directly pasted into Gamma, Kimi, or similar tools. Follow these rules: ### Structural Rules - Use `---` to separate slides - Use `# Title` for the slide heading - Target **20–30 slides** total - Use **bullet points** (not dense paragraphs) for all content - No more than **5–6 bullets per slide** - Each bullet should be **one sentence or a short phrase** ### Content Rules - **Lead with numbers**: "MSE reduced by 6.7% on Electricity dataset" beats "performance improved" - **Name modules clearly**: Use the exact names from the paper (e.g., MV-FDE, SAM, TimeBridge) - **Contrast baseline vs. proposed**: "Standard attention → diluted weights | SAM → focused weights" - **Use emoji or icons sparingly** to make slides visually scannable - **For method slides**: describe what → why → how (in that order) ### Visualization Guidance On slides showing figures/tables: - Reference what would appear: `[Figure: Architecture diagram showing dual-path flow]` - Describe what the visualization proves in 1 sentence - List 2–3 key takeaways as bullets ### Slide Template Library **Title Slide:** ```markdown # [Paper Title] **Author** | Supervisor: [Name] | [Affiliation] [Degree type] · [Defense Date] > [One-sentence thesis statement] ``` **Problem/Motivation Slide:** ```markdown # Challenge: [Problem Name] > [One-sentence hook about why this problem matters] - 📍 **Real impact**: [Application domain example] - ⚠️ **Core bottleneck**: [What goes wrong technically] - 📊 **Scale**: [Quantify the difficulty, e.g., "100 variables = 10,000 attention pairs"] - 🔍 **Root cause**: [Deeper technical reason the problem exists] ``` **Method Overview Slide:** ```markdown # [Model Name]: Overview > Design philosophy: "[Slogan or design principle]" | Stage | Module | Role | |-------|--------|------| | Input | [Module A] | [What it does] | | Encoding | [Module B] | [What it does] | | Output | [Module C] | [What it does] | **Key innovation**: [One-sentence differentiator vs. prior work] ``` **Module Deep-Dive Slide:** ```markdown # [Module Name] **Goal**: [What problem this module solves] 1. **Step 1**: [Operation] → [Output] 2. **Step 2**: [Operation] → [Output] 3. **Step 3**: [Operation] → [Output] 💡 **Insight**: [Why this design choice is better than the alternative] ``` **Experiment Results Slide:** ```markdown # Results: [Dataset or Setting Name] [Figure: Performance comparison table/chart] **Key findings**: - 🏆 [Model name] achieves best MSE of **[X.XXX]** on [Dataset] - 📉 **[X.X]% MSE reduction** vs. [Baseline] on [Dataset] - 📈 Advantage grows with longer horizon: L=720 shows strongest gains - 🔑 [Any surprising or noteworthy result] ``` **Ablation Slide:** ```markdown # Ablation Study | Variant | [Dataset1] MSE | [Dataset2] MSE | |---------|----------------|----------------| | Full model | **X.XXX** | **X.XXX** | | w/o [Module A] | X.XXX (+X.X%) | X.XXX | | w/o [Module B] | X.XXX (+X.X%) | X.XXX | | Baseline | X.XXX | X.XXX | **Takeaway**: [Module A] + [Module B] = synergistic effect (1+1 > 2) ``` **Visualization/Interpretation Slide:** ```markdown # Interpretability: [What We're Visualizing] [Figure: Visualization image] - 📊 **[Dataset 1]**: shows [Pattern A] → [Interpretation] - 📊 **[Dataset 2]**: shows [Pattern B] → [Interpretation] - 🔍 Proves: [What this visualization demonstrates about the model] ``` **Conclusion Slide:** ```markdown # Summary & Contributions | Work | Problem Solved | Key Method | Performance | |------|---------------|------------|-------------| | [Work 1] | [Problem] | [Method] | [Top metric] | | [Work 2] | [Problem] | [Method] | [Top metric] | **Technical Roadmap**: [Metaphor for progression, e.g., "From 1D to 2D modeling"] > [Closing statement about impact or future direction] ``` --- ## Step 4: Quality Checklist Before delivering the slides, verify: - [ ] Slides 1–3: Hook the audience on why the problem matters - [ ] At least 1 slide clearly shows the **limitation of prior work** (preferably with a diagram or contrast table) - [ ] Method section has both an **overview** slide and **per-module** slides - [ ] At least 2 slides with **quantitative results** (numbers, percentages) - [ ] Ablation results are presented (shows scientific rigor) - [ ] At least 1 **visualization** slide (attention heatmaps, fusion matrices, etc.) - [ ] Final slide has a clear conclusion + future work - [ ] No slide exceeds 6 bullet points - [ ] All module names match the paper exactly - [ ] Each slide has a clear "one thing to remember" takeaway --- ## Output Format Return the complete PPT Markdown as a code block in a `.md` file, with this header: ``` ``` Also provide a brief **Slide Index** at the top (list of slide numbers and titles) so the user can quickly navigate.