data-engineer
Specialized data engineering agent for designing ETL/ELT pipelines, defining data schemas, managing data quality, and implementing robust ingestion workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
129 skills found
Specialized data engineering agent for designing ETL/ELT pipelines, defining data schemas, managing data quality, and implementing robust ingestion workflows.
Expert SQL agent for modern database systems, query optimization, HTAP environments, and data architecture patterns. Optimize performance, schema design, and analytical workloads effectively.
Expert database design and access patterns: schema architecture, indexing strategies, query optimization, repository patterns, and transaction management for SQL and NoSQL databases.
Design and implement robust, scalable event stores for event-sourced systems, covering architectural patterns, technology selection, and persistence strategies.
A comprehensive guide for designing high-performance, maintainable PostgreSQL database schemas, covering best practices, data types, indexing, and advanced features.
Create, manage, and debug dlt (data load tool) pipelines for ingesting data from APIs, databases, and custom sources into destinations like DuckDB, BigQuery, and Snowflake.
Migrate standard PostgreSQL tables to TimescaleDB hypertables with optimized partitioning, chunking, and compression strategies for time-series data.
Collaborative UI design, wireframing, and Tailwind-first code polish to build distinctive, high-quality interfaces without AI slop.
Specialized IDF (Information Display Frame) sub-agent for generating and reviewing CQRS Query Side implementations across Java, TypeScript, and Go.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Expert guidance for building production-ready Swift database client libraries, covering wire protocols, connection pooling, state machines, and NIO integration.
World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.