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Ofrece:\n\n*   **IA Conversacional:** Menciona al bot o háblale por privado y te responderá sentando cátedra sobre cualquier tema.\n*   **Gestión de Comunidad:** Sistema de puntos, ranking y medallas.\n\n### Comandos Principales\n\n*   `/cuñao [texto]`: Devuelve una frase aleatoria o filtrada.\n*   `/sticker [texto]`: Envía un sticker.\n*   `/saludo [nombre]`: Genera un saludo personalizado (ej: \"¿Qué pasa, fiera?\").\n*   `/proponer [texto]`: Propone nuevas frases para el repertorio.\n*   `/perfil`: Muestra tus estadísticas y medallas.\n\n### Fusión de Cuentas (/link)\n\nSi usas el bot en varias plataformas (Telegram y Slack), puedes unificar tu perfil:\n\n1.  En la cuenta que quieras **abandonar** (origen), escribe `/link`. El bot te dará un código.\n2.  En tu cuenta **principal** (destino), escribe `/link \u003cCODIGO\u003e`.\n3.  Tus puntos y medallas se transferirán a la cuenta principal y la de origen se borrará.\n\n## Desarrollo Local\n\nPara probar el bot en local sin depender de GCP:\n\n1.  **Configura el entorno:** Copia el archivo de ejemplo y rellena tus tokens:\n    ```bash\n    cp .env.example .env\n    ```\n2.  **Arranca el emulador y la app:** El script `dev.sh` se encarga de levantar el emulador de Datastore mediante Docker y arrancar el servidor Litestar:\n    ```bash\n    ./dev.sh\n    ```\n\n### Requisitos\n- Docker y Docker Compose\n- [uv](https://github.com/astral-sh/uv)\n- Python 3.14\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjenarvaezg%2Fcunhaobot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjenarvaezg%2Fcunhaobot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjenarvaezg%2Fcunhaobot/lists"}