brycewang-stanford/paper-slide-deck

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Paper Slide Deck Generator

Transform academic papers and content into professional slide deck images with automatic figure extraction.

Usage

/paper-slide-deck path/to/paper.pdf
/paper-slide-deck path/to/paper.pdf --style academic-paper
/paper-slide-deck path/to/content.md --style sketch-notes
/paper-slide-deck path/to/content.md --audience executives
/paper-slide-deck path/to/content.md --lang zh
/paper-slide-deck path/to/content.md --slides 10
/paper-slide-deck path/to/content.md --outline-only
/paper-slide-deck  # Then paste content

Script Directory

Important: All scripts are located in the scripts/ subdirectory of this skill.

Agent Execution Instructions:

1. Determine this SKILL.md file's directory path as SKILL_DIR
2. Script path = ${SKILL_DIR}/scripts/<script-name>.ts
3. Replace all ${SKILL_DIR} in this document with the actual path

Script Reference: | Script | Purpose | |--------|---------| | scripts/generate-slides.py | Generate AI slides via Gemini API (Python) | | scripts/merge-to-pptx.ts | Merge slides into PowerPoint | | scripts/merge-to-pdf.ts | Merge slides into PDF | | scripts/detect-figures.ts | Auto-detect figures/tables in PDF | | scripts/extract-figure.ts | Extract figure from PDF page (uses PyMuPDF fallback) | | scripts/apply-template.ts | Apply figure container template |

Options

| Option | Description | |--------|-------------| | --style <name> | Visual style (see Style Gallery) | | --audience <type> | Target audience: beginners, intermediate, experts, executives, general | | --lang <code> | Output language (en, zh, ja, etc.) | | --slides <number> | Target slide count | | --outline-only | Generate outline only, skip image generation |

Style Gallery

| Style | Description | Best For | |-------|-------------|----------| | academic-paper | Clean professional, precise charts | Conference talks, thesis defense | | blueprint (Default) | Technical schematics, grid texture | Architecture, system design | | chalkboard | Black chalkboard, colorful chalk | Education, tutorials, classroom | | notion | SaaS dashboard, card-based layouts | Product demos, SaaS, B2B | | bold-editorial | Magazine cover, bold typography, dark | Product launches, keynotes | | corporate | Navy/gold, structured layouts | Investor decks, proposals | | dark-atmospheric | Cinematic dark mode, glowing accents | Entertainment, gaming | | editorial-infographic | Magazine explainers, flat illustrations | Tech explainers, research | | fantasy-animation | Ghibli/Disney style, hand-drawn | Educational, storytelling | | intuition-machine | Technical briefing, bilingual labels | Technical docs, academic | | minimal | Ultra-clean, maximum whitespace | Executive briefings, premium | | pixel-art | Retro 8-bit, chunky pixels | Gaming, developer talks | | scientific | Academic diagrams, precise labeling | Biology, chemistry, medical | | sketch-notes | Hand-drawn, warm & friendly | Educational, tutorials | | vector-illustration | Flat vector, retro & cute | Creative, children's content | | vintage | Aged-paper, historical styling | Historical, heritage, biography | | watercolor | Hand-painted textures, natural warmth | Lifestyle, wellness, travel |

Auto Style Selection

| Content Signals | Selected Style | |-----------------|----------------| | paper, thesis, defense, conference, ieee, acm, icml, neurips, cvpr, acl, aaai, iclr | academic-paper | | tutorial, learn, education, guide, intro, beginner | sketch-notes | | classroom, teaching, school, chalkboard, blackboard | chalkboard | | architecture, system, data, analysis, technical | blueprint | | creative, children, kids, cute, illustration | vector-illustration | | briefing, bilingual, infographic, concept | intuition-machine | | executive, minimal, clean, simple, elegant | minimal | | saas, product, dashboard, metrics, productivity | notion | | investor, quarterly, business, corporate, proposal | corporate | | launch, marketing, keynote, bold, impact, magazine | bold-editorial | | entertainment, music, gaming, creative, atmospheric | dark-atmospheric | | explainer, journalism, science communication | editorial-infographic | | story, fantasy, animation, magical, whimsical | fantasy-animation | | gaming, retro, pixel, developer, nostalgia | pixel-art | | biology, chemistry, medical, pathway, scientific | scientific | | history, heritage, vintage, expedition, historical | vintage | | lifestyle, wellness, travel, artistic, natural | watercolor | | Default | blueprint |

Layout Gallery

Optional layout hints for individual slides. Specify in outline's // LAYOUT section.

Slide-Specific Layouts

| Layout | Description | Best For | |--------|-------------|----------| | title-hero | Large centered title + subtitle | Cover slides, section breaks | | quote-callout | Featured quote with attribution | Testimonials, key insights | | key-stat | Single large number as focal point | Impact statistics, metrics | | split-screen | Half image, half text | Feature highlights, comparisons | | icon-grid | Grid of icons with labels | Features, capabilities, benefits | | two-columns | Content in balanced columns | Paired information, dual points | | three-columns | Content in three columns | Triple comparisons, categories | | image-caption | Full-bleed image + text overlay | Visual storytelling, emotional | | agenda | Numbered list with highlights | Session overview, roadmap | | bullet-list | Structured bullet points | Simple content, lists |

Infographic-Derived Layouts

| Layout | Description | Best For | |--------|-------------|----------| | linear-progression | Sequential flow left-to-right | Timelines, step-by-step | | binary-comparison | Side-by-side A vs B | Before/after, pros-cons | | comparison-matrix | Multi-factor grid | Feature comparisons | | hierarchical-layers | Pyramid or stacked levels | Priority, importance | | hub-spoke | Central node with radiating items | Concept maps, ecosystems | | bento-grid | Varied-size tiles | Overview, summary | | funnel | Narrowing stages | Conversion, filtering | | dashboard | Metrics with charts/numbers | KPIs, data display | | venn-diagram | Overlapping circles | Relationships, intersections | | circular-flow | Continuous cycle | Recurring processes | | winding-roadmap | Curved path with milestones | Journey, timeline | | tree-branching | Parent-child hierarchy | Org charts, taxonomies | | iceberg | Visible vs hidden layers | Surface vs depth | | bridge | Gap with connection | Problem-solution |

Academic-Specific Layouts

| Layout | Description | Best For | |--------|-------------|----------| | paper-title | Title, authors, affiliations, venue | Conference paper cover | | outline-agenda | Numbered section list with highlights | Talk structure overview | | methods-diagram | Central architecture/pipeline diagram | Methods, system design | | results-chart | Chart area + data annotations | Quantitative results | | equation-focus | Centered equation + variable definitions | Mathematical derivations | | qualitative-grid | 2x2 or 3x2 image comparison grid | Visual results, ablations | | references-list | Numbered citation list | Key references slide | | contributions | Numbered contribution points | Contributions summary |

Usage: Add Layout: <name> in slide's // LAYOUT section to guide visual composition.

Design Philosophy

This deck is designed for reading and sharing, not live presentation:

• Each slide must be self-explanatory without verbal commentary
• Structure content for logical flow when scrolling
• Include all necessary context within each slide
• Optimize for social media sharing and offline reading

File Management

Output Directory

Each session creates an independent directory named by content slug:

slide-deck/{topic-slug}/
├── source-{slug}.{ext}    # Source files (text, images, etc.)
├── outline.md
├── outline-{style}.md     # Style variant outlines
├── prompts/
│   └── 01-slide-cover.md, 02-slide-{slug}.md, ...
├── 01-slide-cover.png, 02-slide-{slug}.png, ...
├── {topic-slug}.pptx
└── {topic-slug}.pdf

Slug Generation:

1. Extract main topic from content (2-4 words, kebab-case)
2. Example: "Introduction to Machine Learning" → intro-machine-learning

Conflict Resolution

If slide-deck/{topic-slug}/ already exists:

• Append timestamp: {topic-slug}-YYYYMMDD-HHMMSS
• Example: intro-ml exists → intro-ml-20260118-143052

Source Files

Copy all sources with naming source-{slug}.{ext}:

• source-article.md (main text content)
• source-diagram.png (image from conversation)
• source-data.xlsx (additional file)

Multiple sources supported: text, images, files from conversation.

Workflow

Step 1: Analyze Content

1. Save source content (if pasted, save as source.md)
2. Follow references/analysis-framework.md for deep content analysis
3. Determine style (use --style or auto-select from signals)
4. Detect languages (source vs. user preference)
5. Plan slide count (--slides or dynamic)
6. For academic papers (PDF with figures): Run automatic figure detection:

   npx -y bun ${SKILL_DIR}/scripts/detect-figures.ts --pdf source-paper.pdf --output figures.json
   

   This outputs a JSON file with all detected figures/tables, their page numbers, and captions.

Step 2: Generate Outline Variants

1. Generate 3 style variant outlines based on content analysis
2. Follow references/outline-template.md for structure
3. Auto-populate IMAGE_SOURCE for academic papers:
   • Read figures.json from Step 1
   • Map figures to slides using rules in references/analysis-framework.md Section 8
   • Automatically add // IMAGE_SOURCE blocks to appropriate slides:
     • Architecture/pipeline figures → Methods slides (Source: extract)
     • Results tables → Quantitative results slides (Source: extract)
     • Comparison images → Qualitative results slides (Source: extract)
     • Conceptual/simple diagrams → Leave for AI generation (Source: generate or omit)
4. Save as outline-{style}.md for each variant

Step 3: User Confirmation

Single AskUserQuestion with all applicable options:

| Question | When to Ask | |----------|-------------| | Style variant | Always (3 options + custom) | | Language | Only if source ≠ user language |

After selection:

• Copy selected outline-{style}.md to outline.md
• Regenerate in different language if requested
• User may edit outline.md for fine-tuning

If --outline-only, stop here.

Step 4: Generate Prompts

1. Read references/base-prompt.md
2. Combine with style instructions from outline
3. Add slide-specific content
4. If Layout: specified in outline, include layout guidance in prompt:
   • Reference layout characteristics for image composition
   • Example: Layout: hub-spoke → "Central concept in middle with related items radiating outward"
5. Save to prompts/ directory

Step 5: Image Generation Method Selection

Before generating images, ask user to choose generation method:

Use AskUserQuestion with options:

| Option | Label | Description | |--------|-------|-------------| | 1 | Gemini API (Recommended) | Official Google API via Python. Requires GOOGLE_API_KEY env var. | | 2 | Gemini Web (Browser-based) | ⚠️ Uses reverse-engineered web API. No API key needed but may break. |

Based on selection:

Option 1: Gemini API (Python)

1. Verify API key: Check GOOGLE_API_KEY or GEMINI_API_KEY environment variable
2. Run generation script:

   python ${SKILL_DIR}/scripts/generate-slides.py <slide-deck-dir> --model gemini-3-pro-image-preview
   

Script Features:

• Auto-installs google-genai package if missing
• Retry logic with exponential backoff (3 retries)
• Skips already-generated slides (> 10KB)
• Supports custom model via --model flag
• Outputs to slides/ subdirectory

Troubleshooting:

• If server disconnection errors occur, script auto-retries
• For persistent failures, re-run the script (it skips completed slides)
• Check API quota if many failures occur

Option 2: Gemini Web Skill

1. Consent Check: Read consent file at:

   • Windows: $APPDATA/baoyu-skills/gemini-web/consent.json
   • macOS: ~/Library/Application Support/baoyu-skills/gemini-web/consent.json
   • Linux: ~/.local/share/baoyu-skills/gemini-web/consent.json

2. If no consent or version mismatch, display disclaimer and ask:

   ⚠️ DISCLAIMER: This uses a reverse-engineered Gemini Web API (NOT official).
   Risks: May break anytime, no support, possible account risk.
   

3. For each slide, run:

   npx -y bun ${GEMINI_WEB_SKILL_DIR}/scripts/main.ts \
     --promptfiles prompts/01-slide-cover.md \
     --image 01-slide-cover.png \
     --sessionId slides-{topic-slug}-{timestamp}
   

   Where GEMINI_WEB_SKILL_DIR = path to baoyu-danger-gemini-web skill directory.

4. Proxy support: If user is in restricted network, prepend:

   HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890
   

Step 5.5: Process IMAGE_SOURCE (Automatic Figure Extraction)

For academic presentations, IMAGE_SOURCE metadata was auto-populated in Step 2 based on figure detection from Step 1.

Automatic Execution:

1. Parse outline to identify slides with Source: extract

2. Create figures directory: mkdir -p figures

3. For each extract slide, automatically:

   • Read the Figure number, Page, and Caption from metadata
   • Run figure extraction script:

     npx -y bun ${SKILL_DIR}/scripts/extract-figure.ts \
       --pdf source-paper.pdf \
       --page <page-number> \
       --output figures/figure-<N>.png
     

   • Run template application script:

     npx -y bun ${SKILL_DIR}/scripts/apply-template.ts \
       --figure figures/figure-<N>.png \
       --title "<slide-headline>" \
       --caption "Figure <N>: <caption-text>" \
       --output <NN>-slide-<slug>.png
     

   • Report: "Extracted: Figure N → slide NN"

4. For slides with Source: generate (or no IMAGE_SOURCE):

   • Proceed to Step 6 for AI generation

Note: Source PDF must be saved as source-paper.pdf in output directory.

Troubleshooting:

• If figure detection missed a figure: manually add // IMAGE_SOURCE block to outline
• If wrong figure mapped: edit the Figure: and Page: values in outline
• If extraction fails: check PDF page number (1-indexed)

PyMuPDF Fallback for Page Extraction: If extract-figure.ts fails with "Image or Canvas expected" error (common with complex PDFs), use PyMuPDF:

import fitz
doc = fitz.open("source-paper.pdf")
page = doc[page_num - 1]  # 0-indexed
mat = fitz.Matrix(3, 3)  # 3x scale for high resolution
pix = page.get_pixmap(matrix=mat)
pix.save(f"extracted/page-{page_num}.png")

Then apply template using apply-template.ts.

Step 6: Generate Images

1. Use selected method from Step 5
2. Skip slides already processed in Step 5.5 (those with Source: extract)
3. Generate session ID: slides-{topic-slug}-{timestamp}
4. Generate each remaining slide with same session ID
5. Report progress: "Generated X/N"
6. Auto-retry once on generation failure

Step 7: Merge to PPTX and PDF

npx -y bun ${SKILL_DIR}/scripts/merge-to-pptx.ts <slide-deck-dir>
npx -y bun ${SKILL_DIR}/scripts/merge-to-pdf.ts <slide-deck-dir>

Step 8: Output Summary

Slide Deck Complete!

Topic: [topic]
Style: [style name]
Location: [directory path]
Slides: N total

- 01-slide-cover.png ✓ Cover
- 02-slide-intro.png ✓ Content
- ...
- {NN}-slide-back-cover.png ✓ Back Cover

Outline: outline.md
PPTX: {topic-slug}.pptx
PDF: {topic-slug}.pdf

Slide Modification

See references/modification-guide.md for:

• Edit single slide workflow
• Add new slide (with renumbering)
• Delete slide (with renumbering)
• File naming conventions

Image Generation Dependencies

Gemini API (Option 1 - Recommended)

Requires:

• GOOGLE_API_KEY or GEMINI_API_KEY environment variable
• Python 3.8+ with pip
• google-genai package (auto-installed by script)

Model: gemini-3-pro-image-preview (default)

Gemini Web Skill (Option 2)

Requires:

• baoyu-danger-gemini-web skill installed at .claude/skills/baoyu-danger-gemini-web
• Google Chrome browser with logged-in Google account
• User consent for reverse-engineered API disclaimer

PDF Figure Extraction

Requires:

• Primary: pdfjs-dist npm package (use legacy build for Node.js)
• Fallback: pymupdf Python package (more reliable for complex PDFs)
• canvas npm package for apply-template.ts

References

| File | Content | |------|---------| | references/analysis-framework.md | Deep content analysis for presentations | | references/outline-template.md | Outline structure and STYLE_INSTRUCTIONS format | | references/modification-guide.md | Edit, add, delete slide workflows | | references/content-rules.md | Content and style guidelines | | references/base-prompt.md | Base prompt for image generation | | references/figure-container-template.md | Visual specs for extracted figure containers | | references/styles/<style>.md | Full style specifications |

Notes

Image Generation

• Nano Banana Pro API: Recommended. Stable, reliable, requires API key
• Gemini Web: No API key needed, but uses reverse-engineered API with account risk
• Generation time: 10-30 seconds per slide
• Auto-retry once on generation failure
• Maintain style consistency via session ID

Content Guidelines

• Use stylized alternatives for sensitive public figures
• Both methods use the same underlying Gemini model for image generation

Extension Support

Custom styles and configurations via EXTEND.md.

Check paths (priority order):

1. .paper-skills/paper-slide-deck/EXTEND.md (project)
2. ~/.paper-skills/paper-slide-deck/EXTEND.md (user)

If found, load before Step 1. Extension content overrides defaults.