What is the Gleam programming language?

Gleam is a statically-typed functional language that compiles to Erlang and JavaScript, designed to bring modern type safety to the high-concurrency BEAM ecosystem.

Can this skill help prevent runtime errors?

Yes, by utilizing Gleam's exhaustive checking and eliminating null values through Result and Option types, this skill helps you build applications that are virtually free of common runtime crashes.

How does this skill help with Gleam development?

It provides Claude with specialized patterns for implementing custom types, generics, and exhaustive pattern matching, ensuring code follows Gleam's idiomatic best practices.

Does it support Gleam's interoperability features?

The skill focuses on the core type system, which is essential for creating safe wrappers around Erlang or JavaScript libraries.

Gleam Type System Mastery

Name: Gleam Type System Mastery
Author: TheBushidoCollective

byTheBushidoCollective

•

开发者工具

Implements robust, type-safe Erlang VM applications using Gleam's advanced functional type system and algebraic data types.

关于

This skill empowers Claude to leverage the full power of the Gleam programming language's static type system to build resilient applications on the BEAM and JavaScript runtimes. It provides expert guidance on defining algebraic data types (ADTs), implementing exhaustive pattern matching, and utilizing generic types for reusable code. By following these patterns, developers can eliminate entire classes of runtime errors, handle side effects safely via Result and Option types, and create domain models that make invalid states unrepresentable through the use of opaque and phantom types.

主要功能

Utilize generic types and parametric polymorphism for reusable component design
Define complex domain models using Algebraic Data Types (ADTs) and custom records
Leverage opaque types and phantom types to enforce strict API constraints
Apply functional error handling patterns using Result and Option types
39 GitHub stars
Implement exhaustive pattern matching for type-safe conditional logic

使用场景

Refactoring legacy code into type-safe functional structures
Building fault-tolerant backend services on the Erlang VM (BEAM)
Designing domain-driven APIs that prevent invalid states through the type system

关于

主要功能

Utilize generic types and parametric polymorphism for reusable component design
Define complex domain models using Algebraic Data Types (ADTs) and custom records
Leverage opaque types and phantom types to enforce strict API constraints
Apply functional error handling patterns using Result and Option types
39 GitHub stars
Implement exhaustive pattern matching for type-safe conditional logic

使用场景

Refactoring legacy code into type-safe functional structures
Building fault-tolerant backend services on the Erlang VM (BEAM)
Designing domain-driven APIs that prevent invalid states through the type system