> For the complete documentation index, see [llms.txt](https://raceonlife.gitbook.io/raceonlife/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://raceonlife.gitbook.io/raceonlife/nft/nft-sollection.md). # NFT сollection At RaceOnLife, we create a unique and personalized gaming space for each player. As part of this, we are developing a series of NFT collections that give players the opportunity to personalize their game cars. We plan to release seven collections, each consisting of 5555 unique game skins. Each collection is designed for different game modes, allowing players to choose a unique car appearance that matches their preferences and playstyle. At present, our first 5555 NFTs for "Car Football" mode are ready and will be available for review and purchase in the 4th quarter of 2024! Players can browse these skins, choose their favorites, and even find real rarities! Stay tuned for updates on the release of the next collections and add uniqueness to your gaming experience with RaceOnLife! --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://raceonlife.gitbook.io/raceonlife/nft/nft-sollection.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.