recreate-thumbnails

Swap faces in YouTube thumbnails using Python and an AI model API.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/jesuscottage/machote --skill recreate-thumbnails
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recreate-thumbnails
Source: https://github.com/jesuscottage/machote/tree/main/.claude/skills/recreate-thumbnails
Command: npx skills add https://github.com/jesuscottage/machote --skill recreate-thumbnails

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mediapipe, opencv-python, requests, Pillow, google-genai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to automatically face-swap YouTube video thumbnails to feature their own face, streamlining personalized branding and content customization.

Core Features & Use Cases

  • AI-driven face swapping: Replaces the face in existing thumbnails with a user’s face using AI models.
  • Thumbnails variations: Generates multiple style and pose variations for selecting the best visual.
  • Quick customization: Supports editing generated images with prompts to refine colors, text, or layout for branding purposes.

Quick Start

Use the recreate-thumbnails skill to generate personalized YouTube thumbnails from a video URL or existing image.

Frequently Asked Questions about recreate-thumbnails

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I face swap a YouTube thumbnail with my own face for branding?

Face swapping a YouTube thumbnail uses AI to replace the existing face with yours, handling image analysis and face pose matching to produce personalized visual branding.

Can I generate multiple thumbnail variations from an existing YouTube image?

Generating multiple thumbnail variations uses AI to create different styles and poses from an existing image, then refines them with natural language prompts for quick customization.

What's the best way to edit AI generated thumbnails with natural language prompts?

Editing AI generated thumbnails with natural language prompts adjusts colors, text, or layout by processing instructions through an AI model API to refine the image for branding purposes.

Do I need a Python environment to run AI face swap scripts for thumbnails?

Running AI face swap scripts requires a Python environment with dependencies like mediapipe, opencv-python, and Pillow alongside an AI model API for image generation and editing.

How does face pose matching work when replacing faces in YouTube thumbnails?

Face pose matching when replacing faces in YouTube thumbnails uses computer vision to analyze facial geometry and align your face, utilizing MediaPipe and OpenCV for natural detection.

Are there limitations to using AI image generation for YouTube thumbnails?

Limitations of using AI image generation for YouTube thumbnails include requiring an active AI model API, needing manual prompt refinement for layout artifacts, and potential face swap accuracy issues with complex facial angles.