How does it handle application crashes?

It utilizes OTP supervisor patterns to monitor child processes and automatically restart them based on defined strategies, ensuring high availability.

What is the Gleam Actor Model?

It is a concurrency pattern based on the Erlang VM (BEAM) where lightweight, isolated processes communicate via message passing, eliminating shared memory issues.

Does this skill support GenServers?

Yes, it provides detailed implementations for stateful actors using the GenServer pattern, including initialization, handle_call, and handle_cast equivalents.

Is message passing type-safe in Gleam?

Yes, unlike standard Erlang/Elixir, Gleam's actor implementation uses typed Subjects to ensure that messages sent between processes are type-checked at compile time.

Gleam Actor Model

Name: Gleam Actor Model
Author: TheBushidoCollective

byTheBushidoCollective

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API Development

Implements high-performance, fault-tolerant concurrent systems using Gleam's Erlang-based actor model and OTP patterns.

About

This skill enables Claude to architect and implement robust, concurrent applications in Gleam by leveraging the power of the Erlang VM (BEAM). It provides comprehensive guidance on process creation, asynchronous message passing, and the implementation of stateful GenServers. Beyond basic concurrency, the skill covers advanced OTP concepts such as supervisor trees for fault recovery, selective receive patterns, and distributed system design, ensuring that Gleam applications remain resilient and scalable even under heavy loads.

Key Features

Asynchronous and synchronous request-response implementations
39 GitHub stars
Process monitoring, linking, and selective receive logic
Type-safe message passing and process communication patterns
Implementation of typed GenServers for stateful process management
Design of hierarchical supervisor trees for automatic fault recovery

Use Cases

Creating resilient microservices that automatically recover from internal failures
Managing complex state across distributed nodes in a Gleam application
Building high-concurrency real-time systems like chat servers or gaming backends

About

Key Features

Asynchronous and synchronous request-response implementations
39 GitHub stars
Process monitoring, linking, and selective receive logic
Type-safe message passing and process communication patterns
Implementation of typed GenServers for stateful process management
Design of hierarchical supervisor trees for automatic fault recovery

Use Cases

Creating resilient microservices that automatically recover from internal failures
Managing complex state across distributed nodes in a Gleam application
Building high-concurrency real-time systems like chat servers or gaming backends