Comprehensive Supabase integration for AI applications with database, auth, storage, realtime, and vector search capabilities
/plugin marketplace add vanman2024/ai-dev-marketplace
/plugin install supabase@vanman2024/ai-dev-marketplace
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Add Row Level Security policies - generates and applies RLS policies for tables
Configure Supabase Storage - creates buckets, sets up RLS policies for file access
Install Supabase UI components - adds auth, realtime, file upload React components
Generate database schema for AI applications - creates tables, relationships, indexes based on app type
Deploy database migration - applies migration files safely with rollback capability
Generate TypeScript types from database schema
Complete AI application setup - chains schema creation, pgvector setup, auth, realtime, and type generation for a full-stack AI app
Initialize Supabase in your project - sets up MCP configuration, creates .env, and prepares project for Supabase integration
Complete AI setup - pgvector, embeddings, schemas, RLS, validation (parallel multi-agent)
Test RLS policy enforcement - validates Row Level Security policies work correctly
Validate database schema integrity - checks constraints, indexes, naming conventions
Security reminder hook that warns about potential security issues when editing files, including command injection, XSS, and unsafe code patterns
Payload Development plugin - covers collections, fields, hooks, access control, plugins, and database adapters.
API security hardening, authentication implementation, authorization patterns, rate limiting, and input validation
Schema validation, data quality monitoring, streaming validation pipelines, and input validation for backend APIs