What specific problems does the Open Generative AI Studio Setup & Branding Agent solve?

This skill provides a structured workflow and a Python helper to audit your Open Generative AI codebase, identify missing dependencies, and apply white-label branding while maintaining the integrity of the original source code.

Which AI agents or development environments are compatible with this skill?

It is designed for use with popular coding agents (like Claude Dev, Cursor, or GitHub Copilot) that have access to your local filesystem and a Python execution environment.

What digital assets are included in the purchase?

You receive a specialized SKILL.md workflow, an offline Python structural audit tool, source mapping guides, and pre-built templates for different studio niches like social content and commercial products.

Does this skill include free credits for image or video generation?

No, this skill is a diagnostic and customization toolkit for developers; you must provide your own API keys for model providers, and you are responsible for any hosting or generation costs incurred.

How does the skill handle updates from the original Open Generative AI source code?

The tool uses a non-destructive audit process and a clear handoff format that separates branding changes from core logic, ensuring you can still pull upstream updates from the original repository.

Do I need advanced coding knowledge to use this studio builder?

Yes, while the skill streamlines the setup and branding process, users should have a basic understanding of Next.js, Electron, and how to run Python scripts in a terminal environment.

Open Generative AI Studio Setup & Branding Agent

{ "missing_workspaces": [ "packages/Vibe-Workflow/packages/workflow-builder", "packages/Open-Poe-AI/packages/agents", "packages/Open-AI-Design-Agent/packages/design-agent" ], "integrated_source_complete": false, "git_metadata_present": false, "license_present": true, "build": "NOT RUN", "preview": "NOT RUN", "generation": "NOT RUN" }

What you get

White-label an open-source AI studio for client delivery.Verify build readiness and missing dependencies before deployment.Resolve broken git submodules in downloaded project archives.Automate the creation of a clean, branded project copy.Customize a creative studio for a client; diagnose incomplete source archives; prepare a development handoff; draft creative production briefs.

About this skill

Build a clearer path from open-source code to your own AI creative studio.

Kamran AI Studio Builder helps a coding agent inspect an Open Generative AI project, find missing workspace components, create a branded copy, and guide setup and verification. Its offline Python helper handles repeatable structural checks and selected branding changes while preserving upstream attribution and provider configuration. Included:

A focused SKILL.md workflow for coding agents.
Structural audit and non-destructive branding helper.
Source map, missing-submodule recovery instructions and build checks.
Restaurant, product-commercial and social-content brief templates.
A handoff format that distinguishes completed work from tests still required.

Designed for developers, freelancers and small agencies customizing their own studio. Bring your own authorized source checkout and compatible coding-agent environment.

This is a setup and customization skill, not a hosted image/video generator. Hosting, model/API credits, commercial model rights, payment integration and personal support services are not included. Provider generation may incur separate charges. Open Generative AI remains third-party MIT-licensed software; this product adds a separate workflow by Muhammad Kamran.

Frequently Asked Questions

Open Generative AI Studio Setup & Branding Agent