Times have changed. Welcome to a new era of Star Citizen asset exploration! where modern community tools and AI-assisted workflows can massively reduce the barrier to entry. This tutorial has been fully refreshed as of 05/09/2026, shortly before DefenseCon and the Odin hologram becoming available. This guide is aimed at power users, modders, artists, and technically curious backers who are comfortable following command-line instructions. That said, if you use an AI assistant carefully and ask it to explain each step, you can work through this setup on your own with zero experience. For fast help, join my Star Citizen Cosplay Discord https://discord.gg/6dvWCfthJ2 I will be happy to help you. The full, actively maintained guide lives on GitHub: https://github.com/DirectorGunner/How-to-Guide-for-Extracting-and-Modding-Star-Citizen-Assets/tree/main One click installer script for Windows: https://github.com/DirectorGunner/How-to-Guide-for-Extracting-and-Modding-Star-Citizen-Assets/releases/tag/v0.42 I will keep this Spectrum thread as the community-facing overview and update the GitHub version as tools evolve. The goal is to maintain an all-in-one workflow that brings together community projects like StarBreaker, Blender, CryEngine conversion tools, texture tools, Data.p4k organization, VS Code, and AI-assisted development into one practical pipeline that anyone with some patience can use. Current focus of the updated workflow: Set up a clean Windows 11 power-user development environment Keep tools, caches, exports, and work files organized under D:\dev (or a location of your choosing) Use versioned Data.p4k folders instead of repeatedly unpacking entire builds Build StarBreaker and StarBreaker MCP locally Use a VS Code multi-repo workspace so AI tools can reference related community repos Explore Data.p4k directly Resolve ship entities and loadouts Export a decomposed StarBreaker package Import that package into Blender with the StarBreaker add-on Use the Aurora MR as a practical end-to-end example This is a modernized “zero to hero” path for backers who want to learn how the current tools fit together and enable them all to contribute improvements back to the community repos. A script could eventually automate most of this setup. You can use a current LLM to help generate one from the GitHub guide, but review every command before running it. AI assistants make mistakes, and setup scripts can change your system quickly. Use extreme caution if you have no experience, you are responsible for your own actions. Cheers! For record, I posted the old tutorial from this OP in this linked reply