> For the complete documentation index, see [llms.txt](https://dfsocial.gitbook.io/dfsocial-gaming/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dfsocial.gitbook.io/dfsocial-gaming/dfsg-espanol/dfsocial-gaming-intro.md).

# DFSocial Gaming Intro

![](/files/OJ2marTz7tUXHUFMrpx9)

Como todos sabemos, hay una gran cantidad de jugadores con grandes habilidades a los que solo se les permite jugar por diversión. Es muy difícil destacar en la industria del gaming y más aún sin un equipo o patrocinador que confíe en tu potencial. En DFSocial estamos decididos a cambiar esta visión.&#x20;

En nuestras plataformas, cualquier gamer podrá monetizar sus habilidades en los torneos mensuales que organizamos. Actualmente damos soporte a 11 de los juegos más populares y estamos preparando nuevas incorporaciones: League of Legends, Brawl Stars, Valorant, TFT, FIFA, CS GO, Clash Royale, Poker, Minecraft, Call of Duty y Ajedrez.&#x20;

**Si eres bueno jugando, ¿Por qué no ser recompensado por ello?**

{% embed url="<https://youtu.be/NSkAi3djf3w>" %}


---

# 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://dfsocial.gitbook.io/dfsocial-gaming/dfsg-espanol/dfsocial-gaming-intro.md?ask=<question>&goal=<endgoal>
```

`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.
