What is the 'Deep Modules' pattern mentioned in this skill?

It is a recommended file organization strategy where complex business logic is kept in a testable 'model' directory, while queries and mutations remain thin, reusable wrappers.

Can this skill help with implementing vector search?

Yes, it includes specialized guidance on managing embeddings, co-location decisions, and implementing efficient vector search patterns within Convex actions.

How does this skill help reduce Convex operational costs?

The skill provides specific patterns for bandwidth optimization, aggressive indexing, and mandatory pagination to prevent expensive unbounded data transfers.

Does it provide support for secure database access?

Absolutely. It emphasizes security-first patterns, teaching Claude to always verify identity via ctx.auth and use tools like convex-helpers for robust access control.

How are schema migrations handled?

The skill guides users through the 'Expand and Contract' migration pattern to ensure database changes don't break the application during deployment.

Convex Development

Name: Convex Development
Author: phrazzld

byphrazzld

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데이터베이스 관리

Implement best practices for building robust, secure, and cost-optimized backends using the Convex database.

소개

This skill equips Claude with specialized knowledge of the Convex platform, focusing on architecture, query performance, and operational efficiency. It provides developers with guidance on implementing the 'Deep Modules' pattern, optimizing bandwidth costs through smart indexing and pagination, and managing secure schema migrations. Whether you are building real-time apps, handling vector search for AI features, or auditing backend security, this skill ensures your Convex implementation follows production-grade standards and utilizes the full power of its type-safe ecosystem.

주요 기능

2 GitHub stars
Guides schema design and zero-downtime migrations using the Expand/Contract pattern
Implements cost-mitigation strategies through bandwidth-efficient pagination and indexing
Optimizes database queries and mutations for high performance and low latency
Integrates secure authentication and authorization patterns using ctx.auth
Provides implementation patterns for vector search and AI embedding workflows

사용 사례

Troubleshooting and optimizing slow database queries or high-cost operations
Refactoring existing Convex backends to improve maintainability and performance
Designing scalable real-time database schemas for new application features

소개

주요 기능

2 GitHub stars
Guides schema design and zero-downtime migrations using the Expand/Contract pattern
Implements cost-mitigation strategies through bandwidth-efficient pagination and indexing
Optimizes database queries and mutations for high performance and low latency
Integrates secure authentication and authorization patterns using ctx.auth
Provides implementation patterns for vector search and AI embedding workflows

사용 사례

Troubleshooting and optimizing slow database queries or high-cost operations
Refactoring existing Convex backends to improve maintainability and performance
Designing scalable real-time database schemas for new application features