Debug and fix a failing drt sync. Use this skill whenever a user reports errors running drt, asks why a sync is failing, or needs to…
DynamoDB single-table design using dynamodb-toolbox v2.
Entity Framework Core patterns for data access, migrations, relationships, performance, and best practices
Incremental data loading patterns including backfill strategies, CDC, timestamp-based loads, and pipeline orchestration.
Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.
Builds and deploys Firebase SQL Connect (aka Firebase Data Connect) backends with PostgreSQL securely.
Open-source embedding database for AI applications.
Data engineer — databases, migrations, pipelines, schema design, and query optimization.
Graph-relational database with EdgeQL query language, code-first schema, link-based relations, computed properties, and fully typed…
Use this skill for managing and reviewing Keboola projects.
Designs and builds knowledge graphs to represent entities, relationships, and semantic connections, with query patterns for Neo4j, RDF…
Use when creating a Laravel migration — table prefixes, column naming, multi-tenant awareness, php artisan make:migration.
Use when a user wants to build an application with ClickHouse, set up a local ClickHouse development environment, install ClickHouse…
Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate…
Process use when you need to track database changes for compliance and security monitoring.
Process use when you need to work with deadlock detection.
Safe migration workflows for EF Core database migrations, .NET version upgrades, and NuGet dependency updates.
Use when working with n8n's built-in Data Tables, designing schemas, inserting/updating/upserting rows, deduping, or querying.
Zero-config Postgres for Netlify apps via @netlify/database — querying data from Functions/Edge Functions, writing schema migrations…
Database schema design patterns and optimization strategies for relational and NoSQL databases.
Process large datasets efficiently using chunk(), chunkById(), lazy(), and cursor() to reduce memory consumption and improve performance