name	moai-baas-neon-ext
version	4.0.0
created	"2025-11-11T00:00:00.000Z"
updated	"2025-11-13T00:00:00.000Z"
status	stable
description	Enterprise Neon Serverless PostgreSQL Platform with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications
keywords	["neon","postgresql","serverless-database","database-branching","autoscaling","pg-bouncer","context7-integration","ai-orchestration","production-deployment"]
allowed-tools	["Read","Bash","Write","Edit","Glob","Grep","WebFetch","mcp__context7__resolve-library-id","mcp__context7__get-library-docs"]

Enterprise Neon Serverless PostgreSQL Expert v4.0.0

Skill Metadata

Field	Value
Skill Name	moai-baas-neon-ext
Version	4.0.0 (2025-11-13)
Tier	Enterprise Database Platform Expert
AI-Powered	✅ Context7 Integration, Intelligent Architecture
Auto-load	On demand when Neon keywords detected

What It Does

Enterprise Neon Serverless PostgreSQL Platform expert with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications.

Revolutionary v4.0.0 capabilities:

🤖 AI-Powered Neon Architecture using Context7 MCP for latest PostgreSQL documentation
📊 Intelligent Database Branching with automated development workflow optimization
🚀 Real-time Performance Analytics with AI-driven PostgreSQL optimization insights
🔗 Enterprise Serverless Integration with zero-configuration scaling and cost optimization
📈 Predictive Cost Analysis with usage forecasting and resource optimization

When to Use

Automatic triggers:

Neon PostgreSQL architecture and branching strategy discussions
Serverless database scaling and performance optimization
PostgreSQL development workflows and CI/CD integration
Database branching for development and testing environments

Manual invocation:

Designing enterprise Neon architectures with serverless PostgreSQL
Optimizing PostgreSQL performance and branching strategies
Planning PostgreSQL to Neon migrations with zero downtime
Implementing advanced branching workflows for development teams

Quick Reference (Level 1)

Neon Serverless PostgreSQL Platform (November 2025)

Core Features Overview

Serverless PostgreSQL 16+: Auto-scaling with scale-to-zero capability
Instant Database Branching: Copy-on-write technology for development workflows
Point-in-Time Recovery: 30-day retention with automated backups
Connection Pooling: PgBouncer integration for optimal performance
Multi-Region Deployment: Global distribution with intelligent replication

Key Benefits

Zero Infrastructure Management: No servers to provision or maintain
Cost Optimization: Pay only for active compute time
Developer Productivity: Instant branching for isolated development environments
Enterprise Security: End-to-end encryption and compliance features

Performance Characteristics

Branch Creation: < 3 seconds
Auto-scaling Latency: Instant response to load changes
Throughput: 100k+ TPS with proper scaling
Storage Efficiency: Copy-on-write branching with minimal overhead

Use Case Categories

Modern Applications: SaaS platforms, web applications, mobile backends
Development Workflows: Feature branches, testing environments, CI/CD pipelines
Analytics Workloads: Read replicas, data warehousing, business intelligence

Core Implementation (Level 2)

Neon Architecture Intelligence

# AI-powered Neon architecture optimization with Context7
class NeonArchitectOptimizer:
    def __init__(self):
        self.context7_client = Context7Client()
        self.performance_analyzer = PostgreSQLAnalyzer()
        self.cost_optimizer = CostOptimizer()
    
    async def design_optimal_neon_architecture(self, 
                                             requirements: ApplicationRequirements) -> NeonArchitecture:
        """Design optimal Neon architecture using AI analysis."""
        
        # Get latest Neon and PostgreSQL documentation via Context7
        neon_docs = await self.context7_client.get_library_docs(
            context7_library_id='/neon/docs',
            topic="serverless architecture branching optimization performance 2025",
            tokens=3000
        )
        
        postgresql_docs = await self.context7_client.get_library_docs(
            context7_library_id='/postgresql/docs',
            topic="performance optimization indexing scaling 2025",
            tokens=2000
        )
        
        # Analyze database requirements
        db_analysis = self._analyze_database_requirements(
            requirements, neon_docs, postgresql_docs
        )
        
        # Optimize branching strategy
        branching_strategy = self._optimize_branching_strategy(
            requirements.development_team_size,
            requirements.deployment_frequency,
            neon_docs
        )
        
        # Calculate cost projections
        cost_analysis = self.cost_optimizer.analyze_neon_costs(
            requirements, branching_strategy
        )
        
        return NeonArchitecture(
            compute_tier=self._select_optimal_compute_tier(requirements),
            storage_configuration=self._optimize_storage_config(requirements),
            branching_strategy=branching_strategy,
            replication_config=self._design_replication_strategy(requirements),
            connection_pooling=self._optimize_connection_pooling(requirements),
            cost_projection=cost_analysis,
            performance_predictions=db_analysis.predictions,
            migration_plan=self._create_migration_plan(requirements)
        )

Branching Workflow Integration

neon_branching_workflow:
  development_workflow:
    feature_branches:
      creation: "Instant branching from main/database"
      isolation: "Complete environment separation"
      testing: "Automated testing on feature branches"
      merging: "Pr-based branch merging with conflict resolution"
    
    staging_environment:
      branch: "main/staging branch"
      data: "Anonymized production data copy"
      integration: "Full integration testing"
      performance: "Performance benchmarking"
    
    production_deployment:
      strategy: "Blue-green deployment with Neon branching"
      rollback: "Instant rollback using branch switching"
      monitoring: "Real-time performance and error monitoring"
  
  branching_optimization:
    storage_efficiency:
      technology: "Copy-on-write for minimal storage overhead"
      compression: "Automatic compression for branch storage"
      cleanup: "Automated branch lifecycle management"
    
    performance_considerations:
      read_replicas: "Dedicated read replicas for staging/testing"
      connection_pooling: "Isolated connection pools per branch"
      resource_isolation: "Compute isolation for development branches"

Performance Optimization Patterns

class NeonPerformanceOptimizer:
    def __init__(self):
        self.query_analyzer = PostgreSQLQueryAnalyzer()
        self.index_advisor = PostgreSQLIndexAdvisor()
        self.connection_manager = NeonConnectionManager()
    
    async def optimize_database_performance(self, 
                                          neon_config: NeonConfiguration) -> OptimizationPlan:
        """Optimize Neon PostgreSQL performance using AI analysis."""
        
        # Analyze current query patterns
        query_analysis = await self.query_analyzer.analyze_workload(
            neon_config.connection_string
        )
        
        # Recommend optimal indexes
        index_recommendations = await self.index_advisor.recommend_indexes(
            query_analysis.slow_queries,
            neon_config.schema_definition
        )
        
        # Optimize connection pooling
        connection_optimization = self.connection_manager.optimize_pooling(
            neon_config.expected_connections,
            neon_config.read_write_ratio
        )
        
        return OptimizationPlan(
            index_changes=index_recommendations,
            connection_config=connection_optimization,
            query_improvements=query_analysis.optimizations,
            monitoring_setup=self._setup_performance_monitoring(),
            cost_impact=self._calculate_cost_impact(
                index_recommendations, connection_optimization
            )
        )

Advanced Implementation (Level 3)

November 2025 Neon Platform Updates

Latest Features

PostgreSQL 16.2: Latest version with performance improvements
Enhanced Branching: Improved branch performance and reduced latency
Advanced Monitoring: Real-time query performance analysis
AI-Powered Optimization: Automated query tuning recommendations
Multi-Region Support: Improved cross-region replication performance

Integration Patterns

Neon with Next.js Applications

// Neon database configuration for Next.js
import { Pool } from 'pg';

const neonPool = new Pool({
  connectionString: process.env.NEON_DATABASE_URL,
  ssl: { rejectUnauthorized: false },
  max: 20, // Optimized for serverless
  idleTimeoutMillis: 30000,
  connectionTimeoutMillis: 2000,
});

export async function query(text: string, params?: any[]) {
  const start = Date.now();
  const res = await neonPool.query(text, params);
  const duration = Date.now() - start;
  
  // Log slow queries for optimization
  if (duration > 1000) {
    console.log('Slow query:', { text, duration, rows: res.rowCount });
  }
  
  return res;
}

Neon Branching for CI/CD

# GitHub Actions workflow with Neon branching
name: Test with Neon Branching

on:
  pull_request:
    types: [opened, synchronize]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Create Neon branch
        run: |
          BRANCH_NAME="pr-${{ github.event.number }}"
          neon branches create \
            --name $BRANCH_NAME \
            --parent main \
            --timezone UTC
      
      - name: Run tests on branch
        env:
          DATABASE_URL: ${{ secrets.NEON_DATABASE_URL }}?options=branch%3Dpr-${{ github.event.number }}
        run: npm test
      
      - name: Clean up branch
        if: always()
        run: neon branches delete --name pr-${{ github.event.number }}

Migration Strategies

PostgreSQL to Neon Migration

class PostgreSQLToNeonMigrator:
    def __init__(self):
        self.neon_client = NeonClient()
        self.migration_analyzer = MigrationAnalyzer()
    
    async def migrate_from_postgresql(self, 
                                    source_config: PostgreSQLConfig,
                                    neon_config: NeonConfig) -> MigrationResult:
        """Migrate from traditional PostgreSQL to Neon."""
        
        # Analyze source database
        source_analysis = await self.migration_analyzer.analyze_database(
            source_config
        )
        
        # Create migration plan
        migration_plan = self._create_migration_plan(source_analysis)
        
        # Execute migration with zero downtime
        migration_result = await self._execute_migration(
            source_config, neon_config, migration_plan
        )
        
        return MigrationResult(
            success=migration_result.success,
            migrated_tables=migration_result.tables,
            data_integrity_check=migration_result.integrity_check,
            performance_comparison=migration_result.performance_metrics,
            rollback_plan=self._create_rollback_plan()
        )

Reference & Integration (Level 4)

API Reference

Core Neon Operations

create_database(name, region) - Create new Neon database
create_branch(parent, name) - Create database branch
scale_compute(database_id, compute_units) - Scale compute resources
create_read_replica(database_id, region) - Create read replica
point_in_time_restore(database_id, timestamp) - Restore to specific time

Context7 Integration

get_latest_neon_documentation() - Official Neon docs via Context7
analyze_postgresql_best_practices() - PostgreSQL optimization via Context7
optimize_neon_configuration() - Latest performance tuning recommendations

Best Practices (November 2025)

DO

Use database branching for development and testing environments
Implement connection pooling for optimal performance
Monitor query performance and optimize slow queries
Use read replicas for analytics and reporting
Implement automated branch lifecycle management
Leverage point-in-time recovery for data protection
Use multi-region deployment for global applications
Optimize compute scaling based on usage patterns

DON'T

Create excessive long-lived branches without cleanup
Ignore connection pool configuration for serverless applications
Skip database performance monitoring and optimization
Use production database for development testing
Neglect backup and disaster recovery planning
Overprovision compute resources without optimization
Ignore cost monitoring and optimization
Skip security configuration and compliance checks

Works Well With

moai-baas-foundation (Enterprise BaaS architecture patterns)
moai-domain-database (Database design and optimization)
moai-baas-supabase-ext (PostgreSQL alternative comparison)
moai-essentials-perf (Performance optimization)
moai-security-api (Database security patterns)
moai-foundation-trust (Security and compliance)
moai-baas-vercel-ext (Next.js integration)
moai-baas-railway-ext (Full-stack deployment)

Changelog

v4.0.0 (2025-11-13): Complete Enterprise v4.0 rewrite with 40% content reduction, 4-layer Progressive Disclosure structure, Context7 integration, November 2025 Neon platform updates, and advanced branching workflows
v2.0.0 (2025-11-11): Complete metadata structure, branching patterns, integration workflows
v1.0.0 (2025-11-11): Initial Neon serverless PostgreSQL platform

End of Skill | Updated 2025-11-13

Security & Compliance

Data Protection

End-to-end encryption for data in transit and at rest
Role-based access control (RBAC) for database operations
Comprehensive audit logging and compliance reporting
GDPR, HIPAA, SOC2 compliance features

PostgreSQL Security

Row-level security (RLS) for data access control
Advanced authentication with SSL/TLS connections
Network isolation with VPC peering
Automated security updates and vulnerability management

End of Enterprise Neon Serverless PostgreSQL Expert v4.0.0

name	moai-baas-neon-ext
version	4.0.0
created	"2025-11-11T00:00:00.000Z"
updated	"2025-11-13T00:00:00.000Z"
status	stable
description	Enterprise Neon Serverless PostgreSQL Platform with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications
keywords	["neon","postgresql","serverless-database","database-branching","autoscaling","pg-bouncer","context7-integration","ai-orchestration","production-deployment"]
allowed-tools	["Read","Bash","Write","Edit","Glob","Grep","WebFetch","mcp__context7__resolve-library-id","mcp__context7__get-library-docs"]

Enterprise Neon Serverless PostgreSQL Expert v4.0.0

Skill Metadata

Field	Value
Skill Name	moai-baas-neon-ext
Version	4.0.0 (2025-11-13)
Tier	Enterprise Database Platform Expert
AI-Powered	✅ Context7 Integration, Intelligent Architecture
Auto-load	On demand when Neon keywords detected

What It Does

Enterprise Neon Serverless PostgreSQL Platform expert with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications.

Revolutionary v4.0.0 capabilities:

🤖 AI-Powered Neon Architecture using Context7 MCP for latest PostgreSQL documentation
📊 Intelligent Database Branching with automated development workflow optimization
🚀 Real-time Performance Analytics with AI-driven PostgreSQL optimization insights
🔗 Enterprise Serverless Integration with zero-configuration scaling and cost optimization
📈 Predictive Cost Analysis with usage forecasting and resource optimization

When to Use

Automatic triggers:

Neon PostgreSQL architecture and branching strategy discussions
Serverless database scaling and performance optimization
PostgreSQL development workflows and CI/CD integration
Database branching for development and testing environments

Manual invocation:

Designing enterprise Neon architectures with serverless PostgreSQL
Optimizing PostgreSQL performance and branching strategies
Planning PostgreSQL to Neon migrations with zero downtime
Implementing advanced branching workflows for development teams

Quick Reference (Level 1)

Neon Serverless PostgreSQL Platform (November 2025)

Core Features Overview

Serverless PostgreSQL 16+: Auto-scaling with scale-to-zero capability
Instant Database Branching: Copy-on-write technology for development workflows
Point-in-Time Recovery: 30-day retention with automated backups
Connection Pooling: PgBouncer integration for optimal performance
Multi-Region Deployment: Global distribution with intelligent replication

Key Benefits

Zero Infrastructure Management: No servers to provision or maintain
Cost Optimization: Pay only for active compute time
Developer Productivity: Instant branching for isolated development environments
Enterprise Security: End-to-end encryption and compliance features

Performance Characteristics

Branch Creation: < 3 seconds
Auto-scaling Latency: Instant response to load changes
Throughput: 100k+ TPS with proper scaling
Storage Efficiency: Copy-on-write branching with minimal overhead

Use Case Categories

Modern Applications: SaaS platforms, web applications, mobile backends
Development Workflows: Feature branches, testing environments, CI/CD pipelines
Analytics Workloads: Read replicas, data warehousing, business intelligence

Core Implementation (Level 2)

Neon Architecture Intelligence

# AI-powered Neon architecture optimization with Context7
class NeonArchitectOptimizer:
    def __init__(self):
        self.context7_client = Context7Client()
        self.performance_analyzer = PostgreSQLAnalyzer()
        self.cost_optimizer = CostOptimizer()
    
    async def design_optimal_neon_architecture(self, 
                                             requirements: ApplicationRequirements) -> NeonArchitecture:
        """Design optimal Neon architecture using AI analysis."""
        
        # Get latest Neon and PostgreSQL documentation via Context7
        neon_docs = await self.context7_client.get_library_docs(
            context7_library_id='/neon/docs',
            topic="serverless architecture branching optimization performance 2025",
            tokens=3000
        )
        
        postgresql_docs = await self.context7_client.get_library_docs(
            context7_library_id='/postgresql/docs',
            topic="performance optimization indexing scaling 2025",
            tokens=2000
        )
        
        # Analyze database requirements
        db_analysis = self._analyze_database_requirements(
            requirements, neon_docs, postgresql_docs
        )
        
        # Optimize branching strategy
        branching_strategy = self._optimize_branching_strategy(
            requirements.development_team_size,
            requirements.deployment_frequency,
            neon_docs
        )
        
        # Calculate cost projections
        cost_analysis = self.cost_optimizer.analyze_neon_costs(
            requirements, branching_strategy
        )
        
        return NeonArchitecture(
            compute_tier=self._select_optimal_compute_tier(requirements),
            storage_configuration=self._optimize_storage_config(requirements),
            branching_strategy=branching_strategy,
            replication_config=self._design_replication_strategy(requirements),
            connection_pooling=self._optimize_connection_pooling(requirements),
            cost_projection=cost_analysis,
            performance_predictions=db_analysis.predictions,
            migration_plan=self._create_migration_plan(requirements)
        )

Branching Workflow Integration

neon_branching_workflow:
  development_workflow:
    feature_branches:
      creation: "Instant branching from main/database"
      isolation: "Complete environment separation"
      testing: "Automated testing on feature branches"
      merging: "Pr-based branch merging with conflict resolution"
    
    staging_environment:
      branch: "main/staging branch"
      data: "Anonymized production data copy"
      integration: "Full integration testing"
      performance: "Performance benchmarking"
    
    production_deployment:
      strategy: "Blue-green deployment with Neon branching"
      rollback: "Instant rollback using branch switching"
      monitoring: "Real-time performance and error monitoring"
  
  branching_optimization:
    storage_efficiency:
      technology: "Copy-on-write for minimal storage overhead"
      compression: "Automatic compression for branch storage"
      cleanup: "Automated branch lifecycle management"
    
    performance_considerations:
      read_replicas: "Dedicated read replicas for staging/testing"
      connection_pooling: "Isolated connection pools per branch"
      resource_isolation: "Compute isolation for development branches"

Performance Optimization Patterns

class NeonPerformanceOptimizer:
    def __init__(self):
        self.query_analyzer = PostgreSQLQueryAnalyzer()
        self.index_advisor = PostgreSQLIndexAdvisor()
        self.connection_manager = NeonConnectionManager()
    
    async def optimize_database_performance(self, 
                                          neon_config: NeonConfiguration) -> OptimizationPlan:
        """Optimize Neon PostgreSQL performance using AI analysis."""
        
        # Analyze current query patterns
        query_analysis = await self.query_analyzer.analyze_workload(
            neon_config.connection_string
        )
        
        # Recommend optimal indexes
        index_recommendations = await self.index_advisor.recommend_indexes(
            query_analysis.slow_queries,
            neon_config.schema_definition
        )
        
        # Optimize connection pooling
        connection_optimization = self.connection_manager.optimize_pooling(
            neon_config.expected_connections,
            neon_config.read_write_ratio
        )
        
        return OptimizationPlan(
            index_changes=index_recommendations,
            connection_config=connection_optimization,
            query_improvements=query_analysis.optimizations,
            monitoring_setup=self._setup_performance_monitoring(),
            cost_impact=self._calculate_cost_impact(
                index_recommendations, connection_optimization
            )
        )

Advanced Implementation (Level 3)

November 2025 Neon Platform Updates

Latest Features

PostgreSQL 16.2: Latest version with performance improvements
Enhanced Branching: Improved branch performance and reduced latency
Advanced Monitoring: Real-time query performance analysis
AI-Powered Optimization: Automated query tuning recommendations
Multi-Region Support: Improved cross-region replication performance

Integration Patterns

Neon with Next.js Applications

// Neon database configuration for Next.js
import { Pool } from 'pg';

const neonPool = new Pool({
  connectionString: process.env.NEON_DATABASE_URL,
  ssl: { rejectUnauthorized: false },
  max: 20, // Optimized for serverless
  idleTimeoutMillis: 30000,
  connectionTimeoutMillis: 2000,
});

export async function query(text: string, params?: any[]) {
  const start = Date.now();
  const res = await neonPool.query(text, params);
  const duration = Date.now() - start;
  
  // Log slow queries for optimization
  if (duration > 1000) {
    console.log('Slow query:', { text, duration, rows: res.rowCount });
  }
  
  return res;
}

Neon Branching for CI/CD

# GitHub Actions workflow with Neon branching
name: Test with Neon Branching

on:
  pull_request:
    types: [opened, synchronize]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Create Neon branch
        run: |
          BRANCH_NAME="pr-${{ github.event.number }}"
          neon branches create \
            --name $BRANCH_NAME \
            --parent main \
            --timezone UTC
      
      - name: Run tests on branch
        env:
          DATABASE_URL: ${{ secrets.NEON_DATABASE_URL }}?options=branch%3Dpr-${{ github.event.number }}
        run: npm test
      
      - name: Clean up branch
        if: always()
        run: neon branches delete --name pr-${{ github.event.number }}

Migration Strategies

PostgreSQL to Neon Migration

class PostgreSQLToNeonMigrator:
    def __init__(self):
        self.neon_client = NeonClient()
        self.migration_analyzer = MigrationAnalyzer()
    
    async def migrate_from_postgresql(self, 
                                    source_config: PostgreSQLConfig,
                                    neon_config: NeonConfig) -> MigrationResult:
        """Migrate from traditional PostgreSQL to Neon."""
        
        # Analyze source database
        source_analysis = await self.migration_analyzer.analyze_database(
            source_config
        )
        
        # Create migration plan
        migration_plan = self._create_migration_plan(source_analysis)
        
        # Execute migration with zero downtime
        migration_result = await self._execute_migration(
            source_config, neon_config, migration_plan
        )
        
        return MigrationResult(
            success=migration_result.success,
            migrated_tables=migration_result.tables,
            data_integrity_check=migration_result.integrity_check,
            performance_comparison=migration_result.performance_metrics,
            rollback_plan=self._create_rollback_plan()
        )

Reference & Integration (Level 4)

API Reference

Core Neon Operations

create_database(name, region) - Create new Neon database
create_branch(parent, name) - Create database branch
scale_compute(database_id, compute_units) - Scale compute resources
create_read_replica(database_id, region) - Create read replica
point_in_time_restore(database_id, timestamp) - Restore to specific time

Context7 Integration

get_latest_neon_documentation() - Official Neon docs via Context7
analyze_postgresql_best_practices() - PostgreSQL optimization via Context7
optimize_neon_configuration() - Latest performance tuning recommendations

Best Practices (November 2025)

DO

Use database branching for development and testing environments
Implement connection pooling for optimal performance
Monitor query performance and optimize slow queries
Use read replicas for analytics and reporting
Implement automated branch lifecycle management
Leverage point-in-time recovery for data protection
Use multi-region deployment for global applications
Optimize compute scaling based on usage patterns

DON'T

Create excessive long-lived branches without cleanup
Ignore connection pool configuration for serverless applications
Skip database performance monitoring and optimization
Use production database for development testing
Neglect backup and disaster recovery planning
Overprovision compute resources without optimization
Ignore cost monitoring and optimization
Skip security configuration and compliance checks

Works Well With

moai-baas-foundation (Enterprise BaaS architecture patterns)
moai-domain-database (Database design and optimization)
moai-baas-supabase-ext (PostgreSQL alternative comparison)
moai-essentials-perf (Performance optimization)
moai-security-api (Database security patterns)
moai-foundation-trust (Security and compliance)
moai-baas-vercel-ext (Next.js integration)
moai-baas-railway-ext (Full-stack deployment)

Changelog

v4.0.0 (2025-11-13): Complete Enterprise v4.0 rewrite with 40% content reduction, 4-layer Progressive Disclosure structure, Context7 integration, November 2025 Neon platform updates, and advanced branching workflows
v2.0.0 (2025-11-11): Complete metadata structure, branching patterns, integration workflows
v1.0.0 (2025-11-11): Initial Neon serverless PostgreSQL platform

End of Skill | Updated 2025-11-13

Security & Compliance

Data Protection

End-to-end encryption for data in transit and at rest
Role-based access control (RBAC) for database operations
Comprehensive audit logging and compliance reporting
GDPR, HIPAA, SOC2 compliance features

PostgreSQL Security

Row-level security (RLS) for data access control
Advanced authentication with SSL/TLS connections
Network isolation with VPC peering
Automated security updates and vulnerability management

End of Enterprise Neon Serverless PostgreSQL Expert v4.0.0

moai-baas-neon-ext

Enterprise Neon Serverless PostgreSQL Expert v4.0.0

Skill Metadata

What It Does

When to Use

Quick Reference (Level 1)

Neon Serverless PostgreSQL Platform (November 2025)

Core Features Overview

Key Benefits

Performance Characteristics

Use Case Categories

Core Implementation (Level 2)

Neon Architecture Intelligence

Branching Workflow Integration

Performance Optimization Patterns

Advanced Implementation (Level 3)

November 2025 Neon Platform Updates

Latest Features

Integration Patterns

Neon with Next.js Applications

Neon Branching for CI/CD

Migration Strategies

PostgreSQL to Neon Migration

Reference & Integration (Level 4)

API Reference

Core Neon Operations

Context7 Integration

Best Practices (November 2025)

DO

DON'T

Works Well With

Changelog

Security & Compliance

Data Protection

PostgreSQL Security

Enterprise Neon Serverless PostgreSQL Expert v4.0.0

Skill Metadata

What It Does

When to Use

Quick Reference (Level 1)

Neon Serverless PostgreSQL Platform (November 2025)

Core Features Overview

Key Benefits

Performance Characteristics

Use Case Categories

Core Implementation (Level 2)

Neon Architecture Intelligence

Branching Workflow Integration

Performance Optimization Patterns

Advanced Implementation (Level 3)

November 2025 Neon Platform Updates

Latest Features

Integration Patterns

Neon with Next.js Applications

Neon Branching for CI/CD

Migration Strategies

PostgreSQL to Neon Migration

Reference & Integration (Level 4)

API Reference

Core Neon Operations

Context7 Integration

Best Practices (November 2025)

DO

DON'T

Works Well With

Changelog

Security & Compliance

Data Protection

PostgreSQL Security