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Found 788 Skills
Plans and executes safe Prisma schema migrations with data backfills, rollback strategies, and SQL preview. Handles complex schema changes including data transformations. Use for "Prisma migrations", "schema changes", "database migrations", or "data backfills".
Expert guidance for SQLModel - the Python library combining SQLAlchemy and Pydantic for database models. Use when (1) creating database models that work as both SQLAlchemy ORM and Pydantic schemas, (2) building FastAPI apps with database integration, (3) defining model relationships (one-to-many, many-to-many), (4) performing CRUD operations with type safety, (5) setting up async database sessions, (6) integrating with Alembic migrations, (7) handling model inheritance and mixins, or (8) converting between database models and API schemas.
Test JSON SQL primitives with semantic-scholar output
Build production database layers with SQLAlchemy ORM and PostgreSQL. This skill should be used when teaching students to define data models, manage sessions, perform CRUD operations, and connect to PostgreSQL/Neon databases.
Learn how to export your entire SQLite database schema, including tables and indexes, into runnable CREATE statements at runtime using Flutter and the `sqlite3` package.
Learn how to supercharge your SQLite databases with full-text search capabilities using the built-in fts5 extension, enabling efficient and powerful querying with the `MATCH` keyword.
Log all file changes (write, edit, delete) to a SQLite database for debugging and audit. Use when: (1) Tracking code changes, (2) Debugging issues, (3) Auditing file modifications, or (4) The user asks to track file changes.
Specialized skill for working with Supabase PostgreSQL database including queries, RLS policies, migrations, functions, and data operations. Use when implementing database queries, creating migrations, setting up RLS policies, writing SQL functions, or debugging database issues.
This skill should be used when the user asks to "set up Alembic migrations", "create a database migration", "run alembic upgrade", "configure alembic autogenerate", or needs guidance on SQLAlchemy schema versioning and migration best practices.
Microsoft Azure SQL Database integration. Manage data, records, and automate workflows. Use when the user wants to interact with Microsoft Azure SQL Database data.
Retrieve time-windowed RSS evidence from SQLite and let the agent produce final summaries using RAG over selected records and fields. Use when generating daily, weekly, monthly, or custom-range AI tech digests directly in agent responses instead of fixed template reports.
Use these skills when you need to handle large-scale data exploration and dataset management. Use when users need to find data assets or run SQL at scale. Provides metadata discovery and query execution across the data warehouse.