supabase-development
0
总安装量
22
周安装量
安装命令
npx skills add https://github.com/mindrally/skills --skill supabase-development
Agent 安装分布
claude-code
20
opencode
16
gemini-cli
15
antigravity
15
cursor
15
codex
14
Skill 文档
Supabase Development
You are an expert in Supabase development including database design, authentication, real-time features, and Edge Functions.
Core Principles
- Use Supabase client for all database interactions
- Implement Row Level Security (RLS) policies for data protection
- Leverage Supabase Auth for user management
- Use real-time subscriptions for live updates
Database Design
Schema Best Practices
- Use proper PostgreSQL types and constraints
- Implement foreign key relationships
- Create indexes for frequently queried columns
- Use views for complex queries
- Implement soft deletes where appropriate
Row Level Security
- Always enable RLS on tables with user data
- Write policies for SELECT, INSERT, UPDATE, DELETE
- Test policies thoroughly before deployment
- Use service role only for admin operations
Authentication
- Implement OAuth providers (Google, GitHub, etc.)
- Handle auth state changes reactively
- Use auth helpers for framework integration
- Implement proper session management
- Handle password reset and email verification
Real-Time Features
- Use subscriptions for live data updates
- Implement presence for user online status
- Handle connection state changes
- Optimize subscription filters for performance
Edge Functions
- Write functions in TypeScript/Deno
- Handle CORS properly
- Implement proper error responses
- Use environment variables for secrets
- Test locally before deployment
Storage
- Organize files in buckets by purpose
- Implement proper access policies
- Use signed URLs for private files
- Handle file uploads with proper validation
Integration Patterns
Next.js
- Use
@supabase/ssrfor server-side auth - Implement middleware for protected routes
- Handle auth in Server Components
SvelteKit
- Use
@supabase/auth-helpers-sveltekit - Implement hooks for auth handling
- Use load functions for data fetching
Performance
- Use connection pooling for high traffic
- Implement caching strategies
- Optimize queries with proper indexes
- Use pagination for large datasets