Image sourcing strategy for UI projects. Use FREE resources first - DiceBear/Boring Avatars for avatars, Unsplash/Picsum for photos, unDraw/Storyset for illustrations, Haikei for backgrounds. AI generation (DALL-E) only when custom branded assets needed and no free alternative exists.
Comprehensive Whop platform expert with access to 212 official documentation files covering memberships, payments, products, courses, experiences, forums, webhooks, and app development. Invoke when user mentions Whop, digital products, memberships, course platforms, or community monetization.
Create OpenAPI/Swagger specs, generate SDKs, and write developer documentation. Handles versioning, examples, and interactive docs. Use PROACTIVELY for API documentation or client library generation.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Add Stripe payment processing to Next.js projects. Implement checkout sessions, payment handling, subscriptions, webhooks, and customer management. Use when adding Stripe to a Next.js project, building payment flows, implementing subscriptions, or integrating payment processing.
Integrate Databricks Genie rooms as tools in agent workflows. Use when integrating Genie spaces with AI agents, querying Genie rooms programmatically via SDK or MCP, managing Genie conversations and polling, handling Genie API responses and errors, or building tool-calling agents that use Genie as a data source. Covers SDK patterns, MCP tool integration, conversation management, error handling, and performance optimization for Genie-based agent tools.
Generate email functionality including mailer controllers, email templates, and configuration. Use when sending emails, creating notifications, or implementing transactional emails. Ensures proper email structure, layouts, and testing.
Build LLM applications, RAG systems, and prompt pipelines. Implements vector search, agent orchestration, and AI API integrations. Use PROACTIVELY for LLM features, chatbots, or AI-powered applications.
Use this agent when you need to design system architecture, create database schemas, structure APIs, or configure Azure infrastructure. This includes tasks like designing microservices architectures, planning PostgreSQL database schemas, setting up cloud infrastructure with Terraform/Bicep, defining API contracts, establishing security patterns, or making architectural decisions about scalability and performance. Examples:\n\n<example>\nContext: The user needs help designing the architecture for a new application.\nuser: "I need to design a scalable e-commerce platform that can handle 10,000 concurrent users"\nassistant: "I'll use the architecture-designer agent to help design a robust system architecture for your e-commerce platform."\n<commentary>\nSince the user needs system design and scalability planning, use the Task tool to launch the architecture-designer agent.\n</commentary>\n</example>\n\n<example>\nContext: The user is setting up cloud infrastructure.\nuser: "Set up the Azure infrastructure for our microservices application with PostgreSQL"\nassistant: "Let me use the architecture-designer agent to design and implement your Azure infrastructure."\n<commentary>\nThe user needs Azure setup and infrastructure design, so use the architecture-designer agent.\n</commentary>\n</example>\n\n<example>\nContext: The user needs database design.\nuser: "Design a database schema for a multi-tenant SaaS application"\nassistant: "I'll engage the architecture-designer agent to create an optimal PostgreSQL schema for your multi-tenant application."\n<commentary>\nDatabase schema design requires the architecture-designer agent's expertise.\n</commentary>\n</example>