AI Skills for Data Engineer

Facilitates GitHub operations using the gh CLI for managing issues, pull requests, and CI workflows efficiently.

Accelerates data ingestion and processing for ETL and warehouse loading while ensuring data correctness and efficiency.

Optimizes system performance by benchmarking and testing multiple variants to identify the fastest and most efficient implementation.

Builds a tailored ECC install plan for repositories by sorting components into DAILY and LIBRARY buckets based on project needs.

Provides essential patterns and best practices for using Prisma ORM with TypeScript, focusing on schema design and query optimization.

Prevents decimal mismatch bugs across EVM chains by ensuring accurate token balance calculations for DeFi tools and bots.

Facilitates safe Python automation for network devices using Netmiko, ensuring read-only access and error handling.

Provides best practices for database migrations, covering schema changes, data migration, rollback, and zero-downtime deployments.

Provides best practices for MySQL and MariaDB schema design, query optimization, and production database configuration.

Provides best practices for using Redis in production applications, covering caching, rate limiting, and connection management.

Flox creates reproducible, cross-platform development environments, ensuring identical setups across macOS and Linux for seamless collaboration.

Provides comprehensive patterns for database access using JetBrains Exposed ORM, including DSL queries, DAO, and connection pooling.

Caches expensive file processing results using SHA-256 content hashes, ensuring efficiency and automatic invalidation on content changes.

Builds new API connectors by matching existing integration patterns, ensuring seamless integration without reinventing architecture.

Covers best practices for designing REST APIs, including resource naming, status codes, and error handling for robust API development.

Provides best practices for backend architecture, API design, and database optimization in Node.js, Express, and Next.js.

Provides best practices for ClickHouse database patterns, query optimization, and analytics for high-performance data engineering.

Provides idiomatic Go patterns and best practices for building robust, efficient, and maintainable applications.

Provides JPA/Hibernate patterns for efficient entity design, query optimization, and transaction management in Spring Boot applications.

Provides PostgreSQL database patterns for query optimization, schema design, indexing, and security based on Supabase best practices.