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.