sticker-analyzer

Analyze JPG, PNG, and WEBP images with Google Gemini Vision to filter stickers from non-stickers.

26|5|Updated Feb 19, 2026

Search Tags:#image analysis #content moderation #vision api #sticker detection #meme filtering

Ready to run

npx skills add https://github.com/kunwl123456/zeroclaw-skills-collection --skill sticker-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sticker-analyzer
Source: https://github.com/kunwl123456/zeroclaw-skills-collection/tree/main/sticker-analyzer
Command: npx skills add https://github.com/kunwl123456/zeroclaw-skills-collection --skill sticker-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @google/generative-ai, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of identifying and filtering non-sticker images (like screenshots or documents) from a collection of potential stickers, ensuring only relevant reaction images are kept.

Core Features & Use Cases

Meme/Sticker Identification: Uses AI vision to distinguish between actual stickers/memes and other image types.
Automated Filtering: Moves non-sticker images to a designated 'trash' folder.
Use Case: Automatically clean up your downloaded sticker collection, keeping only the fun, expressive images suitable for chat reactions.

Quick Start

Analyze the images in your sticker directory to filter out non-stickers.

Frequently Asked Questions about sticker-analyzer

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

FAQPage Schema

How do I filter stickers and memes from regular screenshots in an image directory?▼

To filter stickers from regular screenshots in an image directory, this Skill uses the Google Gemini Vision API to analyze static image files like JPG, PNG, and WEBP, automatically moving non-sticker images to a trash folder.

What is the best way to clean up a downloaded sticker collection and remove non-reaction images?▼

The best way to clean up a downloaded sticker collection is using AI vision identification to distinguish actual stickers and memes from documents or screenshots, ensuring only relevant reaction images are kept in your directory.

Do I need a GEMINI_API_KEY to identify meme content in static image files?▼

Yes, you need a GEMINI_API_KEY to identify meme content because the analysis relies on the Google Gemini Vision API and requires the npm package @google/generative-ai to process your images.

Can I use this tool to process WEBP files for automated sticker detection?▼

Yes, you can use this tool to process WEBP files for automated sticker detection. It supports static image files including WEBP, JPG, and PNG formats for identifying and filtering meme content.

What happens to non-sticker images when using AI vision for content moderation?▼

During AI vision content moderation, non-sticker images like screenshots and documents are automatically identified and moved to a designated trash directory, separating them from your valid stickers.

Does sticker detection work with documents or only reaction images?▼

Sticker detection works by analyzing the entire directory to specifically separate reaction images from documents. It uses AI vision to recognize meme and sticker content, moving the unwanted documents to a trash folder.