How does this skill help with database security?

It enforces the use of parameterized queries and prepared statements to ensure that user-provided data cannot lead to SQL injection attacks.

When should I use the Backend Queries skill?

Use it whenever you are creating or modifying files in your repository, query, or data access folders to ensure high-quality database interactions.

Does it support specific ORMs like TypeORM or Sequelize?

While it provides general database best practices, it is designed to work across various ORMs and query builders by applying universal optimization and security patterns.

Can it fix performance issues like N+1 queries?

Yes, the skill specifically guides Claude to identify N+1 patterns and implement eager loading or optimized joins to reduce database round-trips.

Backend Database Queries

Name: Backend Database Queries
Author: elliotsaha

byelliotsaha

데이터베이스 관리

Writes secure, performant database queries using parameterization, indexing, and advanced optimization techniques.

소개

The Backend Queries skill equips Claude Code with the specialized knowledge required to build robust data access layers and repository patterns. It focuses on writing high-performance SQL and ORM-based queries while strictly adhering to security best practices such as parameterization to prevent SQL injection. By providing guidance on complex joins, transaction management, and solving performance bottlenecks like the N+1 query problem through eager loading, this skill ensures your application's database interactions are scalable, secure, and maintainable.

주요 기능

Robust transaction implementation for complex, multi-step database operations
0 GitHub stars
Standardized repository and data access layer (DAL) pattern implementation
N+1 query optimization using eager loading and efficient join strategies
Advanced query performance tuning through indexing and caching strategies
Secure parameterized query generation to prevent SQL injection vulnerabilities

사용 사례

Refactoring legacy SQL or ORM logic to improve execution speed and reduce load
Implementing secure data fetching logic for APIs requiring complex relational joins
Developing scalable data access layers and repository files for backend services

소개

주요 기능

Robust transaction implementation for complex, multi-step database operations
0 GitHub stars
Standardized repository and data access layer (DAL) pattern implementation
N+1 query optimization using eager loading and efficient join strategies
Advanced query performance tuning through indexing and caching strategies
Secure parameterized query generation to prevent SQL injection vulnerabilities

사용 사례

Refactoring legacy SQL or ORM logic to improve execution speed and reduce load
Implementing secure data fetching logic for APIs requiring complex relational joins
Developing scalable data access layers and repository files for backend services