Some_claude_skills ai-video-production-master

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

install
source · Clone the upstream repo
git clone https://github.com/curiositech/some_claude_skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/curiositech/some_claude_skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/ai-video-production-master" ~/.claude/skills/erichowens-some-claude-skills-ai-video-production-master && rm -rf "$T"
manifest: .claude/skills/ai-video-production-master/SKILL.md
source content

AI Video Production Master

Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in:

  • Multiple video approaches: Stock footage, T2V (Sora-style), I2V, hybrid
  • Hybrid local/cloud workflows for cost optimization
  • Style and character consistency (LoRA, IPAdapter, prompt discipline)
  • Motion graphics and synthetic elements (title cards, data viz, lower thirds)
  • Artist commissioning for training datasets
  • Cloud GPU orchestration (Vast.ai, RunPod)

When to Use

USE this skill for:

  • Script-to-video production pipelines
  • Stock footage assembly (InVideo-style workflows)
  • Text-to-video generation (Sora, Runway, Pika, Kling)
  • Image-to-video animation (Wan I2V, ComfyUI)
  • Cloud GPU orchestration (Vast.ai, RunPod, Lambda)
  • Motion graphics generation (title cards, lower thirds, data viz)
  • LoRA training for character/style consistency
  • Artist commissioning for training datasets
  • Cost optimization between local and cloud processing

DO NOT use for:

  • Real-time video editing → use DaVinci Resolve, Premiere Pro
  • Video effects/compositing → use After Effects, Fusion
  • Audio production/mixing → use
    sound-engineer
    skill
  • 3D modeling/animation → use Blender, Maya, or
    physics-rendering-expert
    skill
  • Static image generation → use
    clip-aware-embeddings
    or image gen tools

Video Generation Approaches

Choose the right approach based on your content:

Stock Footage (Invideo-style) - RECOMMENDED for most content

Best for: Educational, corporate, explainers, documentaries

  • Uses curated stock libraries (Pexels, Pixabay, Storyblocks)
  • Most professional, reliable results
  • Fast turnaround (~30 min for full video)
  • Script → AI selects matching clips → voiceover + music
python scripts/stock_video_generator.py --script script.txt --style documentary

Text-to-Video (Sora-style) - For creative/artistic content

Best for: Abstract visuals, creative shorts, unique scenes

  • True generative AI (no stock footage)
  • Uses: Sora API, Runway Gen-3, Pika, Kling
  • Cleaner than I2V (no weird image artifacts)
  • Storyboard control for multi-shot narratives
python scripts/t2v_generator.py --prompt "A serene mountain lake at sunset" --provider sora

Image-to-Video (I2V) - For animating specific images

Best for: Animating logos, concept art, specific compositions

  • Animates existing images with subtle motion
  • Can look "weird" if source images are AI-generated
  • Best with clean, professional source images
python scripts/cloud_i2v_batch.py --images ./keyframes --provider vastai

Hybrid Approach

Combine approaches per shot:

  • Shot 1-3: Stock footage (b-roll, establishing)
  • Shot 4-5: T2V (creative transitions)
  • Shot 6-10: Stock footage (talking head, outro)

Key Capabilities

1. Cost Optimization

Compare and recommend the optimal mix of local (M4 Max) vs cloud (H100/A100) processing:

python scripts/cost_calculator.py --shots 10 --duration 5

2. Cloud Batch Processing

Run I2V generation on cloud GPUs for 50x speedup:

python scripts/cloud_i2v_batch.py --images ./keyframes --provider vastai

3. Motion Graphics Generation

Create professional title cards, lower thirds, and data visualizations:

python scripts/motion_graphics_generator.py --type title --style deep_glow --title "Your Title"

4. Style Consistency

Provide guidance on:

  • LoRA training parameters (rank, alpha, learning rate, steps)
  • IPAdapter + FaceID for character consistency
  • Prompt discipline and trigger words
  • Reference image workflows

5. Artist Commissioning

Templates and guidance for:

  • Finding artists (ArtStation, Fiverr, Upwork)
  • Structuring commission requests
  • AI training rights contracts
  • Quality control and review processes

Files in This Skill

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

Quick Reference

Cost Comparison (10-shot video)

ApproachTimeCostBest For
Stock Footage + AI30 minFree-$20/moEducational, corporate
Sora (ChatGPT Plus)30 min$20/moCreative, unique scenes
Full Local I2V (M4 Max)15+ hours$0When you need specific images
Cloud I2V (RTX 4090)30 min~$0.50Batch I2V processing
InVideo Max30 min$48/moFull automation
Runway Gen-330 min~$15-25High-quality T2V

Cloud GPU Pricing

ProviderGPU$/hrI2V Time/Clip
Vast.aiH100 80GB$1.87~2 min
RunPodH100 80GB$1.99~2 min
RunPodA100 80GB$1.74~3 min
LambdaH100$2.99~2 min

Motion Graphics Styles

  • neo_brutalist
    - Raw, glitchy, utilitarian
  • deep_glow
    - Intense light blooms, layered neons
  • liquid_motion
    - Fluid, morphing typography
  • retro_revival
    - 80s/90s grain and neon
  • glass_morphism
    - Frosted glass, depth layers

Dependencies

Python packages:

  • httpx (for cloud API calls)
  • argparse, json, subprocess (stdlib)

External tools:

  • FFmpeg (video encoding)
  • rsvg-convert or ImageMagick (SVG to PNG)
  • ComfyUI (local generation)