binggandata

binggandata / bggg-skills

Public

Open-source Codex skills from BGGG

19
5
100% credibility
Found May 04, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source collection of creative tools for an AI environment that convert flat images into layered editable designs and improve skill patterns over time.

How It Works

1
🔍 Discover image magic tools

You find these creative tools that turn everyday pictures into editable layered designs perfect for photo editing.

2
📥 Get the tools ready

Download the tool collection and place it where your AI assistant can find and use them easily.

3
🗂️ Set up your picture project

Create a special folder for your images and start a new project to organize everything neatly.

4
Pick your creation path
🧠
Team up with AI

Chat with your AI assistant and ask it to transform your images into layers.

🖼️
Go direct with images

Select your pictures and let the tool handle the layering on its own.

5
✨ Watch the transformation

Your flat images get split into backgrounds, objects, colors, and text – all stacked as separate editable pieces!

✅ Layers ready to edit

Enjoy your new layered file that opens right up in photo software for easy tweaks and creativity.

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Star Growth

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AI-Generated Review

What is bggg-skills?

This open-source Codex project delivers Python-based skills for an open-source alternative to OpenAI Codex, plugging into your local Codex setup via ~/.codex/skills. The star skill converts raster images or AI-generated elements into layered PSD files—handling background removal, color splitting, text rasterization, and full-canvas PNG exports—without needing Photoshop or ImageMagick. Another evolves skills by analyzing and merging patterns between them, expanding Codex with open-source models for creative workflows.

Why is it gaining traction?

It stands out as a GitHub open-source tool for self-hosted Codex CLI tasks, offering a pure-Python PSD writer that outputs Photoshop-compatible files directly. Developers hook it into imagegen prompts for seamless AI-to-editable-design pipelines, plus standalone CLI commands like "assemble" for manifests or "split-colors" for clustering flat images into layers. No vendor lock-in, just drop-in skills for open-source GitHub Copilot alternatives.

Who should use this?

Graphic designers scripting AI image workflows who need PSD exports for Photoshop tweaks. Indie devs building open-source Codex apps for visual content creation, like poster decomposition or product mockups. Teams exploring open-source GitHub Codespaces alternatives for collaborative, self-hosted code-to-design tools.

Verdict

Grab it if you're in the open-source Codex ecosystem and need image-to-PSD superpowers—CLI and skill integration work out of the box after pip installs. With 19 stars and 1.0% credibility score, it's early and lightly tested, so expect tweaks; docs are bilingual and solid for a niche starter.

(178 words)

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