Can this skill help optimize database performance?

Yes, it provides guidance on preloading associations, avoiding N+1 query problems, and writing composable queries that are efficient and maintainable.

What is the Elixir Ecto Patterns skill?

It is a specialized capability for Claude Code that provides expert patterns and best practices for using Ecto, Elixir's primary database wrapper and query generator.

Does it support complex database transactions?

Absolutely. It includes implementation patterns for both basic Repo transactions and Ecto.Multi for orchestrating complex, multi-step operations with atomic consistency.

Is this skill only for Phoenix applications?

While it is essential for Phoenix development, these patterns apply to any Elixir project that uses Ecto for database management or data validation.

Elixir Ecto Patterns

Name: Elixir Ecto Patterns
Author: TheBushidoCollective

byTheBushidoCollective

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Database Management

Implements robust database patterns for Elixir applications using Ecto schemas, changesets, and advanced query logic.

About

This skill equips Claude with specialized knowledge of Ecto, the database wrapper and query generator for the Elixir ecosystem. It provides comprehensive patterns for defining data models, performing complex queries with Ecto's DSL, managing data integrity via changesets, and handling complex business logic through database transactions. Whether building a Phoenix-based API or a standalone Elixir service, this skill ensures best practices are followed to prevent performance issues like N+1 queries and maintain strict data consistency.

Key Features

Advanced Ecto schema and embedded schema modeling
Composable query generation with Ecto.Query DSL
Efficient data loading through preloading and joins
Data validation and transformation using changesets
Complex transaction management using Ecto.Multi
39 GitHub stars

Use Cases

Refactoring complex raw SQL queries into maintainable Elixir DSL
Implementing atomic multi-step database operations for data integrity
Building a production-ready data layer for a Phoenix web application

About

Key Features

Advanced Ecto schema and embedded schema modeling
Composable query generation with Ecto.Query DSL
Efficient data loading through preloading and joins
Data validation and transformation using changesets
Complex transaction management using Ecto.Multi
39 GitHub stars

Use Cases

Refactoring complex raw SQL queries into maintainable Elixir DSL
Implementing atomic multi-step database operations for data integrity
Building a production-ready data layer for a Phoenix web application