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Agents generate sticker packs

A project turns a photo or character image into a consistent set of animated stickers and WeChat submission materials, using a Claude Code or Codex.

Enterprise DNA |
Agents generate sticker packs

AI Pulse · Under the Radar

The play

Test it on one mascot or campaign character, then measure editing time and check whether the generated assets meet your platform’s submission rules.

A GitHub project called ray-sticker-shop takes a photo or character image and turns it into a consistent set of animated stickers, plus materials for submitting them to WeChat’s sticker platform. It works as a skill for Claude Code or Codex. The project says it can produce 240-by-240 GIFs, keep them under 500KB, make supporting images such as a cover and icon, and check the files against WeChat’s requirements. It has 358 stars on GitHub. Here’s the project.

For a small business, the useful idea isn’t just making stickers. It’s turning one input into a repeatable path that also handles the resizing, supporting assets, checks, and delivery materials. That could be worth testing for a small creative-production task, especially if the output is something you already make or commission. The project says eight stickers and five supporting images cost about $0.70 at OpenAI’s listed prices, with extra generations costing more. It also says you can use ChatGPT to generate images if you don’t have an API key, then bring them back for assembly.

This is the kind of repeatable process we build into an AI command centre, where the goal is to connect a tool to a real piece of work. Keep rights in mind: the project says to use only images you’re authorized to use, and WeChat decides whether submissions pass. The tool doesn’t guarantee approval or income.

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