Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to video', 'video generation pipeline', 'character consistency', 'LoRA training', 'cloud GPU', 'motion graphics', 'Wan I2V', 'InVideo alternative'. NOT for real-time video editing, video compositing (use DaVinci/Premiere), audio production, or 3D modeling (use Blender/Maya).
npx skills add https://github.com/curiositech/some_claude_skills --skill ai-video-production-master
Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in:
✅ USE this skill for:
❌ DO NOT use for:
sound-engineer skillphysics-rendering-expert skillclip-aware-embeddings or image gen toolsChoose the right approach based on your content:
Best for: Educational, corporate, explainers, documentaries
python scripts/stock_video_generator.py --script script.txt --style documentary
Best for: Abstract visuals, creative shorts, unique scenes
python scripts/t2v_generator.py --prompt "A serene mountain lake at sunset" --provider sora
Best for: Animating logos, concept art, specific compositions
python scripts/cloud_i2v_batch.py --images ./keyframes --provider vastai
Combine approaches per shot:
Compare and recommend the optimal mix of local (M4 Max) vs cloud (H100/A100) processing:
python scripts/cost_calculator.py --shots 10 --duration 5
Run I2V generation on cloud GPUs for 50x speedup:
python scripts/cloud_i2v_batch.py --images ./keyframes --provider vastai
Create professional title cards, lower thirds, and data visualizations:
python scripts/motion_graphics_generator.py --type title --style deep_glow --title "Your Title"
Provide guidance on:
Templates and guidance for:
ai-video-production-master/
├── README.md # Comprehensive guide
├── SKILL.md # This file
├── scripts/
│ ├── cost_calculator.py # Cost comparison tool
│ ├── cloud_i2v_batch.py # Cloud batch I2V (Vast.ai/RunPod)
│ ├── stock_video_generator.py # Stock footage assembly (Invideo-style)
│ ├── t2v_generator.py # Text-to-video (Sora/Runway/Pika)
│ └── motion_graphics_generator.py # Title cards, lower thirds
├── workflows/
│ └── comfyui_i2v_optimized.json # Optimized ComfyUI workflow
└── docs/
├── ARTIST_COMMISSIONING_GUIDE.md # Hiring artists
└── contracts/
└── artist_commission_template.md # Contract template
| Approach | Time | Cost | Best For |
|----------|------|------|----------|
| Stock Footage + AI | 30 min | Free-$20/mo | Educational, corporate |
| Sora (ChatGPT Plus) | 30 min | $20/mo | Creative, unique scenes |
| Full Local I2V (M4 Max) | 15+ hours | $0 | When you need specific images |
| Cloud I2V (RTX 4090) | 30 min | ~$0.50 | Batch I2V processing |
| InVideo Max | 30 min | $48/mo | Full automation |
| Runway Gen-3 | 30 min | ~$15-25 | High-quality T2V |
| Provider | GPU | $/hr | I2V Time/Clip |
|----------|-----|------|---------------|
| Vast.ai | H100 80GB | $1.87 | ~2 min |
| RunPod | H100 80GB | $1.99 | ~2 min |
| RunPod | A100 80GB | $1.74 | ~3 min |
| Lambda | H100 | $2.99 | ~2 min |
neo_brutalist - Raw, glitchy, utilitariandeep_glow - Intense light blooms, layered neonsliquid_motion - Fluid, morphing typographyretro_revival - 80s/90s grain and neonglass_morphism - Frosted glass, depth layersPython packages:
External tools:
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Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
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Take curiositech/ai-video-production-master from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.