Browse skills

This skill uses SQL to efficiently research data within databases, saving time and providing targeted insights for analysis.

Sqlmodel facilitates rapid database interaction by providing a Python ORM for SQLAlchemy, streamlining data access and development.

This AI provides deep insights into NoSQL databases – ideal for understanding MongoDB, Cassandra & more, boosting your data strategy.

Craft complex SQLite queries, analyze data, and troubleshoot errors with expert precision using this tool.

SQL Pro allows you to generate SQL queries from natural language descriptions, simplifying database interaction and boosting developer productivity.

Provides patterns guidance and assistance for working with databases and data persistence.

Helps with SQLite, best practices as part of working with databases and data persistence workflows.

Provides translation guidance and assistance for working with databases and data persistence.

Provides content writing guidance and assistance for working with databases and data persistence.

Helps with Supabase, PostgreSQL, best practices as part of working with databases and data persistence workflows.

Expertly queries, optimizes, and troubleshoots PostgreSQL databases using advanced SQL and best practices.

Helps with Supabase, PostgreSQL, best practices as part of working with databases and data persistence workflows.

Mongokit simplifies MongoDB interaction by providing a fluent API for easy data manipulation and querying – boosting developer productivity.

Expertly queries, analyzes, and optimizes MongoDB databases using advanced techniques and best practices.

Manages Redis caching queues for optimized data retrieval and background task processing, improving application performance.

Queries complex relational databases using natural language, translating requests into optimized SQL queries for fellipeutaka users.

Helps with Prisma ORM, patterns as part of working with databases and data persistence workflows.

Queries and analyzes Prisma data using SQL; optimizes schemas and resolves complex database issues efficiently.

Designs efficient DynamoDB tables, optimizing for access patterns, cost, and scalability based on provided data models.

Queries Amazon DynamoDB tables using specified expressions and parameters to retrieve data efficiently.

Predicts potential operational disruptions and data loss risks associated with application migrations using historical trends and system dependencies.

Helps with backend development, database as part of software development workflows workflows.

Managing Databases — provides AI agent assistance for software development workflows.

Axiom Sqlitedata — provides AI agent assistance for software development workflows.