medallion-architecture
Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.
Discover devops data engineering skills, compare source repositories and read the instructions for each workflow.
Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.
Delta Sharing configuration, monitoring, and recipient management for secure cross-organization data sharing.
Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.
pytest fixtures and integration testing patterns for Spark applications, including DataFrame assertions and mock data generation.
GitHub Actions and CI/CD patterns for Databricks, including automated testing, deployment, and quality gates.
Specialized skill for database operations with Drizzle ORM and Neon PostgreSQL. Use when working with schema definitions, queries, migrations, or database optimization.
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Deep planning via Oracle CLI (GPT-5.2 Codex). Use for complex tasks requiring extended thinking (10-60 minutes). Outputs plan.md for planner to transform into specs.
Airflow DAG patterns, KubernetesPodOperator, and debugging. Use on 'dag', 'airflow', 'task', 'operator', 'KPO', 'scheduler', 'XCom'.
Streaming, pagination, count strategies, bulk operations
GraphQL API expert enforcing Schema-First design, Dataloaders for N+1 prevention, and strict Codegen workflows.
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queri...
Enforces project Drizzle ORM coding conventions when creating or modifying database queries, schemas, and migrations. This skill ensures consistent patterns for query structure, type safety, permission filterin...
Guide for writing Drasi continuous queries using Cypher. Use this when asked to create, modify, or troubleshoot Drasi queries.
Database schema migration patterns and best practices. Use when creating database migrations, implementing zero-downtime schema changes, version control for databases, or managing data migrations.
Expert guidance on Supabase/PostgreSQL implementation for RAG, including pgvector semantic search and full-text search.
Analyzes database schemas and suggests improvements for Prisma, TypeORM, or Drizzle. Use when the user asks about database schema, migrations, ORM setup, or wants to generate TypeScript types from database mode...
Expert guidance for enterprise resource planning systems, business logic, domain modeling, and ERP integration patterns. Use when building ERP systems, implementing business workflows, or integrating with ERP p...
Domain specialist for data persistence, database design, query optimization, and data modeling. Scope: SQL injection prevention, indexing strategies, normalization, migrations, scaling, backup/recovery, ORM pat...
Эксперт по data annotation. Используй для ML labeling, annotation workflows и quality control.
Эксперт Airbyte. Используй для настройки ETL/ELT пайплайнов, коннекторов, синхронизации данных и data pipelines.
Эксперт AWS Kinesis. Используй для stream processing, real-time data и Kinesis patterns.
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queri...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.