sticker-cog

Generate consistent multi-sticker packs with transparent backgrounds for messaging platforms.

1|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/CellCog/cellcog-plugin --skill sticker-cog
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sticker-cog
Source: https://github.com/CellCog/cellcog-plugin/tree/main/skills/sticker-cog
Command: npx skills add https://github.com/CellCog/cellcog-plugin --skill sticker-cog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generating a full sticker pack with consistent character identity and platform-ready assets is difficult because individual image generations drift in style, proportions, and likeness, causing a set to look disjointed by sticker #10. sticker-cog solves the core pain of character drift and platform formatting by maintaining a reference-guided identity, enforcing a single visual style, producing transparent backgrounds, and packaging outputs for target messaging platforms.

Core Features & Use Cases

  • Character-consistent packs: Produce 10–30 stickers that all preserve the same face, proportions, and style across expressions.
  • Platform-ready formatting: Output WebP/PNG at required dimensions and file-size targets for WhatsApp, Telegram, Discord, Slack, and iMessage.
  • Batch planning & expression control: Plan expression sets up-front to avoid drift and ensure coverage (happy, sad, laugh, angry, excited, etc.).
  • From photos or brand art: Convert pet photos, mascot artwork, or user photos into cohesive sticker packs while retaining likeness.
  • Use case: Create a 20-sticker WhatsApp pack of a mascot with identical colors and proportions, each optimized to be under 100KB with transparent backgrounds.

Quick Start

Create a WhatsApp sticker pack of 20 consistent stickers of a chubby orange tabby named Mochi, 512×512 WebP transparent under 100KB each.

Frequently Asked Questions about sticker-cog

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

FAQPage Schema
How do I generate a sticker pack with consistent character identity across multiple images?

To generate a consistent sticker pack, use a reference image to guide identity preservation across 10–30 stickers. This maintains a single character face, proportions, and style across different expressions while preventing visual drift during batch image generation.

Can I create stickers with transparent backgrounds optimized for WhatsApp, Telegram, and Discord?

Yes, you can create stickers with transparent backgrounds formatted for WhatsApp, Telegram, Discord, Slack, and iMessage. The process outputs WebP or PNG files at platform-specific dimensions and file-size targets for direct import.

How do I convert a pet photo into a cohesive set of reaction emoji?

Convert a pet photo into reaction emoji by using the image as a reference to preserve likeness and style. Plan expression sets up-front—such as happy, sad, angry, and excited—to ensure a cohesive batch of stickers across multiple generations.

What's the best way to batch optimize sticker image file sizes for messaging platforms?

Batch optimize sticker file sizes by applying per-platform sizing and file-format conversion rules during export. This enforces platform-ready dimensions and targets, such as producing 512×512 WebP files under 100KB for WhatsApp.

Why does my AI generated sticker pack look disjointed and inconsistent by the tenth image?

Sticker packs look disjointed because individual image generations drift in style, proportions, and likeness. Using a reference-guided identity enforces a single visual style across all stickers, preventing the character drift that causes inconsistency.

Do I need a reference image to maintain consistent character proportions in a sticker set?

Yes, a reference image is required to maintain consistent character proportions in a sticker set. Reference-guided identity preservation ensures that face, colors, and proportions remain identical across all expressions and batch generations.