Claude-skill-registry-data markdown-video
Convert Deckset-format markdown slides with speaker notes to presentation video with TTS narration. Use when user requests to create video from slides, generate presentation video, or convert slides to MP4 format.
git clone https://github.com/majiayu000/claude-skill-registry-data
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry-data "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/markdown-video" ~/.claude/skills/majiayu000-claude-skill-registry-data-markdown-video && rm -rf "$T"
data/markdown-video/SKILL.mdMarkdown Video Skill
Convert markdown slides to presentation video with AI-generated visuals and TTS audio narration.
When to Use This Skill
Activate this skill when the user:
- Asks to create video from markdown slides
- Requests to convert presentation to MP4 format
- Wants to generate narrated video from slides
- Needs automated slide-to-video conversion
Key Features
- Gemini AI-generated visuals: High-quality slide images with full emoji and Korean support
- OpenAI TTS narration: Natural voice from speaker notes
- Delta updates: Only regenerates changed slides (saves time and API costs)
- Multiple visual styles: technical-diagram, professional, vibrant-cartoon, watercolor
Input Requirements
- Markdown file with speaker notes marked with
prefix^ - GEMINI_API_KEY environment variable for image generation
- OPENAI_API_KEY environment variable for TTS audio
Output Specifications
- MP4 video: 1920x1080 (Full HD)
- Duration: Each slide displays for duration of its audio narration
- File naming:
{input_filename}.mp4
Workflow
Step 1: Generate Audio Files
cd "{slides_directory}" python /Users/lifidea/.claude/skills/markdown-video/generate_audio.py "{slides_filename}" --output-dir "audio"
Delta update: Only regenerates audio for slides with changed speaker notes.
- Use
to regenerate all audio files--force
Output:
,audio/slide_0.mp3
, ... (0-indexed)slide_1.mp3- Cache file:
audio/.audio_cache.json
Step 2: Generate Slide Images with Gemini
cd "{slides_directory}" python /Users/lifidea/.claude/skills/markdown-video/create_slides_gemini.py "{slides_filename}" \ --output-dir "slides-gemini" \ --style "technical-diagram" \ --auto-approve
Delta update: Only regenerates images for slides with changed content.
- Use
to regenerate all slide images--force
Style Options:
| Style | Description | Best For |
|---|---|---|
| Clean lines, infographic icons, muted blue/gray | Technical, education |
| Minimalist, geometric shapes | Corporate, formal |
| Bright gradients, flat design | Marketing, startups |
| Soft pastels, organic shapes | Creative, personal |
Other Parameters:
: Gemini model (default: gemini-3-pro-image-preview)--model
: 16:9 (default), 1:1, 9:16, 4:3, 3:4--aspect-ratio
: Resume from slide N--start-from N
: Preview prompts without generating--dry-run
Output:
,slides-gemini/1.jpeg
, ... (1-indexed)2.jpeg- Cache file:
slides-gemini/.slides_cache.json
Step 3: Create Final Video
cd "{slides_directory}" python /Users/lifidea/.claude/skills/markdown-video/slides_to_video.py \ --slides-dir "slides-gemini" \ --audio-dir "audio" \ --output "{output_filename}.mp4"
Delta Updates
Both audio and image generation support delta updates - only regenerating what changed.
How It Works
- Content hashing: Each slide's content is hashed (MD5)
- Cache storage: Hashes stored in
/.audio_cache.json.slides_cache.json - Change detection: On subsequent runs, only changed slides are regenerated
- File verification: Also checks if output file exists
Example Output
✅ Found 20 slides 20 slides with speaker notes ✨ Delta update: 17 slides unchanged, 3 to regenerate 🎵 Generating 3 audio files... Progress |████████████████████████████████████████| 3/3 (100.0%) ✅ Audio generation complete! Generated: 3/3 files Unchanged: 17 files (skipped)
Force Regeneration
To ignore cache and regenerate everything:
# Force regenerate all audio python generate_audio.py "slides.md" --output-dir "audio" --force # Force regenerate all images python create_slides_gemini.py "slides.md" --output-dir "slides-gemini" --force
Quick Reference
Full Workflow (First Run)
cd "{slides_directory}" # Step 1: Generate audio python /Users/lifidea/.claude/skills/markdown-video/generate_audio.py "slides.md" --output-dir "audio" # Step 2: Generate slide images python /Users/lifidea/.claude/skills/markdown-video/create_slides_gemini.py "slides.md" \ --output-dir "slides-gemini" \ --style "technical-diagram" \ --auto-approve # Step 3: Create video python /Users/lifidea/.claude/skills/markdown-video/slides_to_video.py \ --slides-dir "slides-gemini" \ --audio-dir "audio" \ --output "presentation.mp4"
Update Workflow (After Changes)
Same commands - delta updates are automatic:
# Only regenerates changed slides python generate_audio.py "slides.md" --output-dir "audio" python create_slides_gemini.py "slides.md" --output-dir "slides-gemini" --auto-approve python slides_to_video.py --slides-dir "slides-gemini" --audio-dir "audio" --output "presentation.mp4"
Requirements
System Dependencies
- Python 3.7+
- ffmpeg:
brew install ffmpeg
Python Packages
pip install Pillow requests google-genai
Environment Variables
export OPENAI_API_KEY="sk-..." export GEMINI_API_KEY="..."
Cost Estimation
| Component | Cost | Example (20 slides) |
|---|---|---|
| Gemini images | ~$0.04/slide | ~$0.80 |
| OpenAI TTS | ~$0.015/1K chars | ~$0.50 |
| Total | ~$1.30 |
With delta updates, subsequent runs only cost for changed slides.
Error Handling
No speaker notes found
- Slides need
prefixed speaker notes for narration^ - Example:
^ This is the speaker note for this slide.
Pronunciation problems
- Replace technical terms with phonetic equivalents in speaker notes
- Test with
first--dry-run
API errors
- Check API key environment variables
- Gemini rate limits: script includes 1-second delay between generations
Quality Checklist
Before marking complete:
- OpenAI and Gemini API keys configured
- Markdown file has speaker notes with
prefix^ - Audio files generated successfully
- Slide images generated successfully
- Video plays correctly with synced audio
- Resolution is 1920x1080