recreate-thumbnails - SKILL.md Agent Skill

name: recreate-thumbnails description: Face-swap YouTube thumbnails to feature Your Name using AI. Use when user asks to recreate thumbnails, face swap images, generate YouTube thumbnails, or create thumbnail variations. allowed-tools: Bash, Read, Write, Edit, Glob, Grep

Recreate YouTube Thumbnails

Goal

Face-swap YouTube thumbnails to feature Your Name using Gemini image model. The system analyzes face direction, matches reference photos by pose, and generates variations.

Scripts

./scripts/recreate_thumbnails.py - Main generation script
./scripts/analyze_face_directions.py - Reference photo analyzer

Quick Start

# From YouTube video (auto-downloads thumbnail)
python3 ./scripts/recreate_thumbnails.py --youtube "https://youtube.com/watch?v=VIDEO_ID"

# From local thumbnail
python3 ./scripts/recreate_thumbnails.py --source ".tmp/thumbnails/source.jpg"

# Edit pass on generated thumbnail
python3 ./scripts/recreate_thumbnails.py --edit ".tmp/thumbnails/recreated_v3.png" \
  --prompt "Change colors to teal. Change 'AI GOLD RUSH' to 'AGENTIC FLOWS'."

Full Workflow

Step 1: Build Reference Photo Bank (One-time)

# Drop 30-40 photos of Nick into raw folder
mkdir -p .tmp/reference_photos/raw

# Analyze and rename with face direction metadata
python3 ./scripts/analyze_face_directions.py

Creates files like:

nick_yawL30_pitchU10.jpg — looking 30° left, 10° up
nick_yawR45_pitch0.jpg — looking 45° right, level

Step 2: Generate Thumbnails

# From YouTube URL (analyzes face, finds best reference, generates 3 variations)
python3 ./scripts/recreate_thumbnails.py --youtube "VIDEO_URL"

# Custom variation count
python3 ./scripts/recreate_thumbnails.py --source "thumbnail.jpg" -n 5

# Skip direction matching
python3 ./scripts/recreate_thumbnails.py --source "thumbnail.jpg" --no-match

Step 3: Edit & Refine

# Single edit
python3 ./scripts/recreate_thumbnails.py --edit ".tmp/thumbnails/recreated_v3.png" \
  --prompt "Change colors to teal brand colors."

# Chain multiple edits
python3 ./scripts/recreate_thumbnails.py --edit ".tmp/thumbnails/edited_1.png" \
  --prompt "Make text bigger. Change background to white."

CLI Reference

Flag	Description
`--youtube`, `-y`	YouTube video URL
`--source`, `-s`	Source thumbnail path or URL
`--edit`, `-e`	Image to edit (enables edit mode)
`--prompt`, `-p`	Edit instructions (required for edit mode)
`--variations`, `-n`	Number of variations (default: 3)
`--refs`	Number of reference photos (default: 2)
`--no-match`	Skip face direction matching

Output Organization

.tmp/thumbnails/
├── 20251205/              # Date folder
│   ├── 104016_1.png       # Variation 1
│   ├── 104016_2.png       # Variation 2
│   ├── 104016_3.png       # Variation 3
│   └── 104532_edited.png  # Edit pass

API Details

Model: gemini-3-pro-image-preview (Nano Banana Pro)
Cost: ~$0.14-0.24 per generation/edit
Latency: 10-60+ seconds per image
Output: ~1376x768 (close to 16:9)

Learnings

2 reference photos is optimal (1 loses likeness, 3+ causes regeneration)
Must explicitly request 16:9 format in prompt
Label images in prompt: "IMAGE 1: Reference, IMAGE 2: Thumbnail"
"100% exact duplicate except face" instruction works well
Edit passes work for text, colors, graphs, backgrounds

Environment

NANO_BANANA_API_KEY=your_key