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Ollama .cursorrules prompt files

Ollama is a platform for running large language models (LLMs) on local devices, offering enhanced privacy by avoiding cloud dependency.

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Next.js TypeScript Clerk Stripe Vercel Setup .cursorrules prompt file

{
"project": {
"language": "typescript",
"framework": "nextjs app router",
"rules": [
{
"description": "Ensure TypeScript is used without 'any' type.",
"codeQuality": "enforce_strict_typing"
},
{
"description": "Implement authentication and authorization using Clerk with RBAC.",
"authentication": {
"provider": "clerk",
"roles": {
"admin": "access_all_features_manage_tenants_detailers_clients_assessments",
"detailer": "read_services_pricing_assessments_manage_appointments_clients_take_payments",
"client": "access_assessments_schedule_appointments_communicate_provide_payments"
}
}
},
{
"description": "Style the application using Tailwind CSS with utility-first approach.",
"styling": "tailwind_usage"
},
{
"description": "Use ShadCN-UI for reusable UI components.",
"ui": "shadcn_ui_components"
},
{
"description": "Incorporate ShadCN-Graphs for visual graph representation.",
"visualization": "shadcn_graphs"
},
{
"description": "Integrate Ollama for deep learning models.",
"ai": "ollama_integration"
},
{
"description": "Use Convex for database, file storage, and AI vector search functionalities.",
"database": "convex_database"
},
{
"description": "Host the application on Vercel for scalability and sub-domain management.",
"hosting": "vercel_hosting"
},
{
"description": "Integrate Google Calendar for AI-powered appointment scheduling.",
"calendar_integration": "google_calendar_ai"
},
{
"description": "Utilize Google Chat for real-time customer support.",
"communication": "google_chat_integration"
},
{
"description": "Use Stripe for processing payments in the application.",
"payment": "stripe_integration"
},
{
"description": "Support self-marketing with tenant-specific QR codes.",
"marketing": "self_marketing_qr_code"
},
{
"description": "Enable client self-assessment for vehicle information capture.",
"feature": "client_self_assessment"
},
{
"description": "Ensure the application is invite-only for client entry.",
"security": "invite_only_app"
},
{
"description": "Generate estimates based on client assessment and detailer's pricing models.",
"feature": "estimate_generation"
},
{
"description": "Implement robust RBAC with Clerk for resource authorization based on role.",
"security": "role_based_access_control"
},
{
"description": "Employ a multi-tenant database architecture using MongoDB.",
"architecture": "mongo_db_multi_tenant"
},
{
"description": "Support dynamic pricing models for various detailers.",
"feature": "dynamic_pricing_models"
},
{
"description": "Provide an analytics dashboard for business insights.",
"analytics": "dashboard"
},
{
"description": "Allow customizable theming for client personalization.",
"ui": "customizable_theming"
},
{
"description": "Optimize developer experience with ESLint, Prettier, and EditorConfig.",
"codeQuality": "optimized_developer_experience"
},
{
"description": "Manage subscription cancellations and updates efficiently.",
"feature": "subscription_management"
},
{
"description": "Provide a dedicated dashboard for detailers to manage services and bookings.",
"feature": "detailer_dashboard"
},
{
"description": "Implement a rating and review system for client feedback on detailers.",
"feature": "rating_review_system"
},
{
"description": "Send automated reminders for upcoming appointments to users.",
"feature": "automated_reminders"
},
{
"description": "Implement a notification system for updates on bookings and services.",
"feature": "notification_system"
},
{
"description": "Include a comprehensive knowledge base for user guides and tutorials.",
"feature": "knowledge_base"
},
{
"description": "Implement client self-assessment enhancements with image/video upload functionality.",
"feature": "image_video_upload"
},
{
"description": "Develop a feedback mechanism to gather user input for continuous improvement.",
"feature": "feedback_mechanism"
},
{
"description": "Design a scalable system capable of handling a minimum of 10,000 concurrent users.",
"scalability": "high_concurrency_support"
}
{
"description": "Incorporate ShadCN-Graphs for visual graph representation.",
"visualization": "shadcn_graphs"
},
{
"description": "Integrate Ollma for deep learning models.",
"ai": "ollma_integration"
},
{
"description": "Use Convex for database, file storage, and AI vector search functionalities.",
"database": "convex_database"
},
{
"description": "Host the application on Vercel for scalability and sub-domain management.",
"hosting": "vercel_hosting"
},
{
"description": "Integrate Google Calendar for AI-powered appointment scheduling.",
"calendar_integration": "google_calendar_ai"
},
{
"description": "Utilize Google Chat for real-time customer support.",
"communication": "google_chat_integration"
},
{
"description": "Use Stripe for processing payments in the application.",
"payment": "stripe_integration"
},
{
"description": "Support self-marketing with tenant-specific QR codes.",
"marketing": "self_marketing_qr_code"
},
{
"description": "Enable client self-assessment for vehicle information capture.",
"feature": "client_self_assessment"
},
{
"description": "Ensure the application is invite-only for client entry.",
"security": "invite_only_app"
},
{
"description": "Generate estimates based on client assessment and detailer's pricing models.",
"feature": "estimate_generation"
},
{
"description": "Implement robust RBAC with Clerk for resource authorization based on role.",
"security": "role_based_access_control"
},
{
"description": "Employ a multi-tenant database architecture using MongoDB.",
"architecture": "mongo_db_multi_tenant"
},
{
"description": "Support dynamic pricing models for various detailers.",
"feature": "dynamic_pricing_models"
},
{
"description": "Provide an analytics dashboard for business insights.",
"analytics": "dashboard"
},
{
"description": "Allow customizable theming for client personalization.",
"ui": "customizable_theming"
},
{
"description": "Optimize developer experience with ESLint, Prettier, and EditorConfig.",
"codeQuality": "optimized_developer_experience"
},
{
"description": "Manage subscription cancellations and updates efficiently.",
"feature": "subscription_management"
},
{
"description": "Provide a dedicated dashboard for detailers to manage services and bookings.",
"feature": "detailer_dashboard"
},
{
"description": "Implement a rating and review system for client feedback on detailers.",
"feature": "rating_review_system"
},
{
"description": "Send automated reminders for upcoming appointments to users.",
"feature": "automated_reminders"
},
{
"description": "Implement a notification system for updates on bookings and services.",
"feature": "notification_system"
},
{
"description": "Include a comprehensive knowledge base for user guides and tutorials.",
"feature": "knowledge_base"
};
]
}
}

stack:

Next.js TypeScript Clerk Stripe Vercel Setup .cursorrules prompt file

Big Daddy Bobs

0

NEW

Python .cursorrules Cursor AI with Ollama & Langchain .cursorrules prompt file

Purpose:
Help build a clean, modular library that uses Ollama to power a dungeon master agent.
The agent should be able to run in a local environment, and should not require internet access.
It should be able to handle complex, open-ended scenarios for one or more players.
It should also be able to handle player input, and should be able to provide feedback to the players.
It should also handle all the NPCs, rules, items, bonuses, and other details of the game.

Rules:

Use python
The library should be in the autodm directory
The library should be modular, and should be able to be used to power a dungeon master agent for D&D

Code: