moai-platform-supabase
This skill provides detailed guidance on using Supabase for full-stack applications, covering PostgreSQL 16, pgvector for AI embeddings, Row-Level Security for multi-tenancy, real-time subscriptions, Edge Functions, and storage. It includes practical code examples for common patterns and references to modular documentation.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install modu-ai-cc-plugins-moai-platform-supabase
Repository
Skill path: .claude/skills/moai-platform-supabase
This skill provides detailed guidance on using Supabase for full-stack applications, covering PostgreSQL 16, pgvector for AI embeddings, Row-Level Security for multi-tenancy, real-time subscriptions, Edge Functions, and storage. It includes practical code examples for common patterns and references to modular documentation.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Backend, Full Stack, Data / AI, Security.
Target audience: Full-stack developers building applications with Supabase backend, particularly those needing PostgreSQL 16 features, vector search, or real-time capabilities.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: modu-ai.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install moai-platform-supabase into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/modu-ai/cc-plugins before adding moai-platform-supabase to shared team environments
- Use moai-platform-supabase for backend workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: "moai-platform-supabase"
description: "Supabase specialist covering PostgreSQL 16, pgvector, RLS, real-time subscriptions, and Edge Functions. Use when building full-stack apps with Supabase backend."
version: 2.0.0
category: "platform"
modularized: true
tags: ['supabase', 'postgresql', 'pgvector', 'realtime', 'rls', 'edge-functions']
context7-libraries: ['/supabase/supabase']
related-skills: ['moai-platform-neon', 'moai-lang-typescript']
updated: 2026-01-06
status: "active"
allowed-tools: "Read, Grep, Glob, mcp__context7__resolve-library-id, mcp__context7__get-library-docs"
---
# moai-platform-supabase: Supabase Platform Specialist
## Quick Reference (30 seconds)
Supabase Full-Stack Platform: PostgreSQL 16 with pgvector for AI/vector search, Row-Level Security for multi-tenant apps, real-time subscriptions, Edge Functions with Deno runtime, and integrated Storage with transformations.
### Core Capabilities
PostgreSQL 16: Latest PostgreSQL with full SQL support, JSONB, and advanced features
pgvector Extension: AI embeddings storage with HNSW/IVFFlat indexes for similarity search
Row-Level Security: Automatic multi-tenant data isolation at database level
Real-time Subscriptions: Live data sync via Postgres Changes and Presence
Edge Functions: Serverless Deno functions at the edge
Storage: File storage with automatic image transformations
Auth: Built-in authentication with JWT integration
### When to Use Supabase
- Multi-tenant SaaS applications requiring data isolation
- AI/ML applications needing vector embeddings and similarity search
- Real-time collaborative features (presence, live updates)
- Full-stack applications needing auth, database, and storage
- Projects requiring PostgreSQL-specific features
### Context7 Documentation Access
For latest Supabase API documentation, use the Context7 MCP tools:
Step 1 - Resolve library ID:
Use mcp__context7__resolve-library-id with query "supabase" to get the Context7-compatible library ID
Step 2 - Fetch documentation:
Use mcp__context7__get-library-docs with the resolved library ID, specifying topic and token allocation
Example topics: "postgresql pgvector", "row-level-security policies", "realtime subscriptions presence", "edge-functions deno", "storage transformations", "auth jwt"
---
## Module Index
This skill uses progressive disclosure with specialized modules for detailed implementation patterns.
### Core Modules
**postgresql-pgvector** - PostgreSQL 16 with pgvector extension for AI embeddings and semantic search
- Vector storage with 1536-dimension OpenAI embeddings
- HNSW and IVFFlat index strategies
- Semantic search functions
- Hybrid search combining vector and full-text
**row-level-security** - RLS policies for multi-tenant data isolation
- Basic tenant isolation patterns
- Hierarchical organization access
- Role-based modification policies
- Service role bypass for server operations
**realtime-presence** - Real-time subscriptions and presence tracking
- Postgres Changes subscription patterns
- Filtered change listeners
- Presence state management
- Collaborative cursor and typing indicators
**edge-functions** - Serverless Deno functions at the edge
- Basic Edge Function with authentication
- CORS header configuration
- JWT token verification
- Rate limiting implementation
**storage-cdn** - File storage with image transformations
- File upload patterns
- Image transformation URLs
- Thumbnail generation
- Cache control configuration
**auth-integration** - Authentication patterns and JWT handling
- Server-side client creation
- Cookie-based session management
- Auth state synchronization
- Protected route patterns
**typescript-patterns** - TypeScript client patterns and service layers
- Server-side client for Next.js App Router
- Service layer abstraction pattern
- Subscription management
- Type-safe database operations
---
## Quick Start Patterns
### Database Setup
Enable pgvector extension and create embeddings table:
```sql
CREATE EXTENSION IF NOT EXISTS vector;
CREATE TABLE documents (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
content TEXT NOT NULL,
embedding vector(1536),
metadata JSONB DEFAULT '{}',
created_at TIMESTAMPTZ DEFAULT NOW()
);
CREATE INDEX idx_documents_embedding ON documents
USING hnsw (embedding vector_cosine_ops);
```
### Basic RLS Policy
```sql
ALTER TABLE projects ENABLE ROW LEVEL SECURITY;
CREATE POLICY "tenant_isolation" ON projects FOR ALL
USING (tenant_id = (auth.jwt() ->> 'tenant_id')::UUID);
```
### Real-time Subscription
```typescript
const channel = supabase.channel('db-changes')
.on('postgres_changes',
{ event: '*', schema: 'public', table: 'messages' },
(payload) => console.log('Change:', payload)
)
.subscribe()
```
### Edge Function Template
```typescript
import { serve } from 'https://deno.land/[email protected]/http/server.ts'
import { createClient } from 'https://esm.sh/@supabase/supabase-js@2'
serve(async (req) => {
const supabase = createClient(
Deno.env.get('SUPABASE_URL')!,
Deno.env.get('SUPABASE_SERVICE_ROLE_KEY')!
)
// Process request
return new Response(JSON.stringify({ success: true }))
})
```
---
## Best Practices
Performance: Use HNSW indexes for vectors, Supavisor for connection pooling in serverless
Security: Always enable RLS, verify JWT tokens, use service_role only in Edge Functions
Migration: Use Supabase CLI (supabase migration new, supabase db push)
---
## Works Well With
- moai-platform-neon - Alternative PostgreSQL for specific use cases
- moai-lang-typescript - TypeScript patterns for Supabase client
- moai-domain-backend - Backend architecture integration
- moai-foundation-quality - Security and RLS best practices
- moai-workflow-testing - Test-driven development with Supabase
---
## Module References
For detailed implementation patterns, see the modules directory:
- modules/postgresql-pgvector.md - Complete vector search implementation
- modules/row-level-security.md - Multi-tenant RLS patterns
- modules/realtime-presence.md - Real-time collaboration features
- modules/edge-functions.md - Serverless function patterns
- modules/storage-cdn.md - File storage and transformations
- modules/auth-integration.md - Authentication patterns
- modules/typescript-patterns.md - TypeScript client architecture
For API reference summary, see reference.md
For full-stack templates, see examples.md
---
Status: Production Ready
Generated with: MoAI-ADK Skill Factory v2.0
Last Updated: 2026-01-06
Version: 2.0.0 (Modularized)
Coverage: PostgreSQL 16, pgvector, RLS, Real-time, Edge Functions, Storage