How does this skill help with Absinthe schema organization?

It provides patterns for splitting schemas into domain-specific modules using import_types and import_fields, making large APIs significantly easier to manage and navigate.

Does it support custom GraphQL scalars?

Yes, it includes implementation patterns for defining and using custom scalars like UUIDs and specialized DateTimes, including the necessary serialization and parsing logic.

Does this skill provide best practices for field validation?

Yes, it guides the strategic use of non_null constraints and input objects to ensure data integrity and clear API contracts at the schema level.

Can it handle polymorphic data types?

Absolutely. The skill covers the implementation of both Interfaces and Unions, including resolve_type logic, to handle complex, polymorphic data structures effectively.

Absinthe GraphQL Schema Design

Name: Absinthe GraphQL Schema Design
Author: TheBushidoCollective

byTheBushidoCollective

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API Development

Designs professional, well-structured GraphQL schemas using the Absinthe framework in Elixir.

About

This skill empowers Claude to architect robust GraphQL schemas within the Elixir ecosystem by leveraging Absinthe's domain-specific notation. It provides deep expertise in defining complex types, implementing interfaces and unions for polymorphic data, and organizing modular schemas that scale. By following established best practices—such as using custom scalars and input objects—it ensures that backend APIs are maintainable, well-documented, and aligned with professional Elixir development standards through the Bushido Collective's ethical framework.

Key Features

Modular schema organization using domain-based type modules
72 GitHub stars
Creation of custom scalars with serialization and parsing logic
Guidance on field nullability and avoiding common schema anti-patterns
Implementation of interfaces and unions for complex polymorphic types
Standardized input object definitions for structured mutation arguments

Use Cases

Building a production-ready GraphQL API from scratch in a Phoenix application
Implementing advanced GraphQL features like unions and custom scalars for domain-specific data
Refactoring monolithic schema files into a modular, maintainable structure

About

Key Features

Modular schema organization using domain-based type modules
72 GitHub stars
Creation of custom scalars with serialization and parsing logic
Guidance on field nullability and avoiding common schema anti-patterns
Implementation of interfaces and unions for complex polymorphic types
Standardized input object definitions for structured mutation arguments

Use Cases

Building a production-ready GraphQL API from scratch in a Phoenix application
Implementing advanced GraphQL features like unions and custom scalars for domain-specific data
Refactoring monolithic schema files into a modular, maintainable structure