Database Skills

Execute Supabase Edge Functions directly via AI requests, streamlining backend logic and data manipulation.

Automates Supabase tasks like migrations, backups, schema changes, and query optimization via a simple interface.

Diagnoses and resolves Supabase database issues, including query optimization, connection errors, and data integrity problems.

Streamlines real-time data updates from Supabase databases into your applications using ypyt1's AI agent skill.

Helps with deployment, Supabase as part of working with databases and data persistence workflows.

Helps with Supabase, API as part of working with databases and data persistence workflows.

Helps with Supabase, setup and configuration as part of working with databases and data persistence workflows.

Helps with migration, Supabase, authentication as part of working with databases and data persistence workflows.

Automates Supabase database tasks (migrations, functions, auth) using Moai and BAAS extensions for streamlined development.

Automates Supabase project setup, migrations, data seeding, and deployment tasks directly from your IDE.

Helps with Supabase, automation as part of working with databases and data persistence workflows.

Helps with Supabase, setup and configuration as part of working with databases and data persistence workflows.

Connects to and queries MySQL databases using SQL, retrieving data based on provided instructions from sanjay3290.

Persistently stores data in Redis for fast retrieval and session management across application restarts.

Connects to and queries your Supabase databases using secure API calls and structured data retrieval.

Executes Supabase Edge Functions via API calls from within ypyt1 agents for dynamic data manipulation.

Automates incremental database schema changes with safe rollbacks, minimizing downtime during complex migrations.

Extracts structured data like product details or contact information from unstructured text within a database.

Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases. Use for designing schemas, writing migrations, or optimizing queries.

Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for

Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checkin

Execute read-only SQL queries against multiple PostgreSQL databases. Use when: (1) querying PostgreSQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (