ai-dev-marketplace

Google File Search API patterns for managed RAG with Gemini. Covers both TypeScript (@google/genai) and Python (google-genai) SDKs. Use when building File Search integrations, implementing RAG with Google AI, or when user mentions Google File Search, Gemini RAG, document indexing, or semantic search.

BullMQ queue configuration patterns including connection pooling, job options, rate limiting, and TypeScript types. Use when setting up queues or configuring job behavior.

BullMQ worker implementation patterns including job processors, concurrency, error handling, and graceful shutdown. Use when creating workers or handling job processing.

DigitalOcean Managed Database provisioning and connection patterns

DigitalOcean networking patterns - VPCs, firewalls, load balancers, DNS

DigitalOcean Spaces (S3-compatible) object storage patterns

LangGraph checkpointing patterns for state persistence with memory, SQLite, and Postgres backends. Use when implementing state recovery or human-in-the-loop workflows.

LangGraph workflow patterns including basic graphs, conditional routing, parallel execution, and subgraphs. Use when designing graph structure or workflow flow.

DeepEval pytest-style LLM testing patterns with built-in metrics, custom evaluators, and CI integration. Use when creating LLM tests, evaluating RAG quality, or measuring faithfulness/relevance.

Supabase-backed evaluation tracking with runs, cases, and scores tables. Use when storing eval results, building dashboards, or tracking regression over time.

promptfoo configuration patterns for prompt regression testing, multi-provider comparison, and assertion-based validation. Use when setting up prompt testing, comparing LLM providers, or creating eval pipelines.

Expo and React Native patterns for mobile development with EAS Build, SDK integration, and native module configuration. Use when building Expo apps, configuring native features, or setting up app signing for store deployment.

Mobile authentication patterns with Clerk, Supabase, and custom auth including biometrics, secure storage, and social login. Use when implementing authentication, managing tokens, or setting up biometric unlock.

React Navigation patterns for mobile apps including stack, tab, drawer navigators, deep linking, and typed navigation with TypeScript. Use when building navigation structure, handling deep links, or implementing authentication flows.

Responsive design patterns for mobile apps including adaptive layouts, safe areas, screen size handling, and platform-specific styling. Use when building responsive UI or handling different screen sizes.

Agentic Platform Contract tables for AI agent applications - runs, events, artifacts, and tool calls tracking. Use when building AI agent backends that need structured run/event storage.

Deep reasoning with Claude's extended thinking feature for complex multi-step problems. Use when implementing think-aloud reasoning, complex analysis, or debugging difficult issues.

2025 SEO best practices for Next.js including Core Web Vitals (INP replaces FID), E-E-A-T signals, Schema markup, AI content guidelines, and technical SEO. Use when optimizing pages for search engines, implementing metadata, adding structured data, or improving page speed.

Configure ADK bidi-streaming for real-time multimodal interactions. Use when building live voice/video agents, implementing real-time streaming, configuring LiveRequestQueue, setting up audio/video processing, or when user mentions bidi-streaming, real-time agents, streaming tools, multimodal streaming, or Gemini Live API.

Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave). Use when implementing monitoring, debugging agent behavior, analyzing agent performance, setting up tracing, or when user mentions observability, logging, tracing, BigQuery analytics, AgentOps, Phoenix, Arize, or Weave.

Email delivery patterns including single, batch, scheduled emails and attachment handling. Use when building transactional email systems, batch communication workflows, scheduled delivery, or implementing file/URL attachments with reply-to and CC/BCC functionality.

React Email component patterns for building responsive email templates using JSX, component composition, and preview servers. Use when creating reusable email components, building responsive templates, setting up email preview environments, or integrating React Email with Resend for dynamic email content.

Webhook event handling patterns for email tracking (sent, delivered, bounced, opened, clicked). Use when implementing email event webhooks, signature verification, processing delivery events, logging email analytics, or building real-time email status tracking.

Mandatory design system guidelines for shadcn/ui with Tailwind v4. Enforces 4 font sizes, 2 weights, 8pt grid spacing, 60/30/10 color rule, OKLCH colors, and accessibility standards. Use when creating components, pages, or any UI elements. ALL agents MUST read and validate against design system before generating code.

Production deployment configurations for Celery workers and beat schedulers across Docker, Kubernetes, and systemd environments. Use when deploying Celery to production, containerizing workers, orchestrating with Kubernetes, setting up systemd services, configuring health checks, implementing graceful shutdowns, or when user mentions deployment, Docker, Kubernetes, systemd, production setup, or worker containerization.

Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troubleshooting result persistence, implementing custom serializers, migrating between backends, optimizing result expiration, or when user mentions result backends, task results, Redis backend, PostgreSQL results, result serialization, or backend migration.

Production-ready Celery task templates with error handling, retries, rate limiting, time limits, and custom task classes. Use when creating Celery tasks, implementing retry logic, adding rate limiting, setting time limits, building custom task classes, validating task inputs with Pydantic, handling database operations, making API calls, or when user mentions task patterns, retry mechanisms, task templates, error handling, task best practices.

Backend API authentication patterns with Clerk JWT middleware and route protection. Use when building REST APIs, GraphQL APIs, protecting backend routes, implementing JWT validation, setting up Express middleware, or when user mentions API authentication, backend security, JWT tokens, or protected endpoints.

Clerk Billing and Stripe subscription management setup. Use when implementing subscriptions, configuring pricing plans, setting up billing, adding payment flows, managing entitlements, or when user mentions Clerk Billing, Stripe integration, subscription management, pricing tables, payment processing, or monetization.

Clerk session handling, JWT verification, token management, and multi-session workflows. Use when implementing session validation, JWT claims customization, token refresh patterns, session lifecycle management, or when user mentions session errors, authentication tokens, JWT verification, multi-device sessions, or session security.

Clerk and Supabase integration patterns for user sync, JWT authentication, and RLS policies. Use when integrating Clerk authentication with Supabase, syncing user data between platforms, configuring RLS with Clerk JWT tokens, setting up webhooks for user events, implementing secure database access with Clerk identity, or when user mentions Clerk Supabase sync, user synchronization, JWT RLS, authentication webhooks, or database user management.

Next.js checkout UI components with Stripe Elements and payment forms. Use when creating checkout pages, payment forms, subscription UIs, customer portals, or when user mentions Stripe Elements, payment UI, checkout flow, subscription management, or payment forms.

Stripe integration templates with reusable code for Checkout, Payment Intents, and Subscriptions. Use when implementing Stripe payments, building checkout flows, handling subscriptions, or integrating payment processing.

Production-ready Supabase database schemas for customers, subscriptions, payments, invoices, and webhook events with comprehensive Row Level Security policies. Use when setting up payment infrastructure, creating subscription tables, implementing secure payment data storage, or configuring RLS policies for multi-tenant payment systems.

Google Cloud Platform configuration templates for BigQuery ML and Vertex AI training with authentication setup, GPU/TPU configs, and cost estimation tools. Use when setting up GCP ML training, configuring BigQuery ML models, deploying Vertex AI training jobs, estimating GCP costs, configuring cloud authentication, selecting GPUs/TPUs for training, or when user mentions BigQuery ML, Vertex AI, GCP training, cloud ML setup, TPU training, or Google Cloud costs.

AI-powered content and image generation using content-image-generation MCP with Google Imagen 3/4, Veo 2/3, Claude Sonnet, and Gemini 2.0. Use when generating marketing content, creating hero images, building blog posts, generating product descriptions, creating videos, optimizing AI prompts, estimating generation costs, or when user mentions Imagen, Veo, AI content, AI images, content generation, image generation, video generation, marketing copy, or Google AI.

Validates Claude Agent SDK configuration files, environment setup, dependencies, and project structure

Memory layer integration patterns for FastAPI with Mem0 including client setup, memory service patterns, user tracking, conversation persistence, and background task integration. Use when implementing AI memory, adding Mem0 to FastAPI, building chat with memory, or when user mentions Mem0, conversation history, user context, or memory layer.

Model routing configuration templates and strategies for cost optimization, speed optimization, quality optimization, and intelligent fallback chains. Use when building AI applications with OpenRouter, implementing model routing strategies, optimizing API costs, setting up fallback chains, implementing quality-based routing, or when user mentions model routing, cost optimization, fallback strategies, model selection, intelligent routing, or dynamic model switching.

OpenRouter framework integration templates for Vercel AI SDK, LangChain, and OpenAI SDK. Use when integrating OpenRouter with frameworks, setting up AI providers, building chat applications, implementing streaming responses, or when user mentions Vercel AI SDK, LangChain, OpenAI SDK, framework integration, or provider setup.