Agent skills for Claude Desktop

Designs and optimizes database indexing strategies using ESR principles and advanced access patterns for maximum query performance.

Safe database migration manager for zero-downtime DDL changes and rollback plans.

Use for Drizzle migrations: schema/table/column changes, migration generation or regeneration, sequence conflicts after rebase, idempotent…

Database design and migration patterns for Alembic migrations, schema design (SQL/NoSQL), and database versioning.

When to activate: replication, leader-follower, CDC, Debezium, read replica, failover, logical replication, multi-master

Database schema design for PostgreSQL/MySQL with normalization, relationships, constraints.

Design relational schemas from requirements with normalization, migrations, ERDs, RLS policies, and indexes for PostgreSQL, MySQL, and…

Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.

Databricks Agent Production Readiness skill

Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen…

Use when interacting with Databricks from the command line, especially for job runs, cluster debugging, SQL queries, workspace assets, and…

Manage Databricks identity, auth profiles, and SQL warehouses via CLI

Use this skill proactively for ANY Databricks Jobs task - creating, listing, running, updating, or deleting jobs.

Databricks Pipeline Production Readiness skill

Databricks Production Readiness Judge skill

Apply production-ready Databricks SDK patterns for Python and REST API.

Generate realistic synthetic data using Spark + Faker (strongly recommended).

UI building guidelines for Datagrok TypeScript components, viewers, and drag-and-drop

Reviews DataHub connector implementations against 22 golden standards for compliance, code quality, silent failures, test coverage, type…

Use this skill to run DataHub's saved evals and report answers for judging.

Use this skill when the user wants to manage data quality in DataHub: create or run assertions, check assertion outcomes, raise or resolve…