Skill UI

This solution implements robust Role-Based Access Control (RBAC) and multi-tenancy for third-party AI services. By utilizing an application proxy layer, it allows organizations to manage multiple teams, assign separate API keys, enforce granular content policies (e.g., filtering prohibited terms), and track daily budgets. This ensures secure, governed, and scalable resource usage in enterprise environments.

This powerful tool helps translate natural language requirements into robust, normalized relational database schemas. It can generate comprehensive schema designs, complete with relationships, constraints, and advanced architectural concerns like multi-tenancy, soft deletes, and audit trails. Furthermore, it automates the generation of database migrations (supporting Prisma, TypeORM, Alembic, etc.), corresponding type definitions (TypeScript/Python), seed data, and Entity-Relationship Diagrams (ERD) using Mermaid.

This comprehensive guide facilitates the development of a production-ready Minimum Viable Product (MVP) for a SaaS business. It covers the entire lifecycle, including idea validation, modern tech stack selection (Next.js, Supabase, Stripe), architectural design for multi-tenancy, database schema planning, authentication setup, payment integration, and a detailed pre-launch checklist for technical and marketing readiness.

This module provides production-ready, type-safe patterns for interacting with the BambooHR REST API, supporting TypeScript and Python. It wraps raw HTTP calls into robust, retry-aware clients, handling complex tasks like error management and multi-tenancy. Use this when building reliable, enterprise-grade integrations with BambooHR.

Provides a comprehensive, production-ready reference architecture for building advanced analytics platforms powered by ClickHouse. It details everything from project layout (TypeScript/Node.js structure) and data ingestion pipelines (Kafka, Webhooks) to the optimal 3-layer schema design (Raw, Hourly, Daily) and multi-tenancy patterns, ensuring scalable and efficient OLAP query performance.

This guide provides best practices for scaling multi-tenant deployments in Qdrant. It advises against the inefficient 'one collection per tenant' approach. Solutions include using shared collections with payload filtering, implementing custom sharding for large-scale tenants (100k+), and employing tiered multitenancy for unevenly sized workloads, ensuring optimal resource utilization and performance.

This catalog provides essential TypeScript abstractions, types, and hooks for implementing robust multi-tenancy features in administrative interfaces. It helps developers manage the current tenant context, check tenant roles (e.g., root vs. non-root), and handle tenant state changes (enable/disable) across various modules. It is crucial for building scalable, secure, and multi-tenant SaaS platforms.

A comprehensive API catalog for managing the entire tenant lifecycle in multi-tenant applications. It provides structured abstractions, including Use Cases, Repositories, and various Event Handlers (before/after hooks), facilitating the creation of robust, scalable, and loosely coupled multi-tenant backend systems.

This module provides comprehensive API abstractions and use cases for managing multi-tenant systems. It covers the entire tenant lifecycle, including creation, installation, enabling, disabling, retrieval by ID, and model extension. Developers can use these structured patterns to ensure robust, scalable, and maintainable multi-tenancy implementation within their services.