Does it cover fault tolerance and supervision?

Absolutely. The skill includes detailed strategies for designing supervision trees, selecting restart strategies, and implementing the 'let it crash' philosophy.

Can this skill help with GenServer implementation?

Yes, it provides optimized boilerplate and guidance for GenServer callbacks, state management, and the proper use of synchronous calls versus asynchronous casts.

Can I use this for high-performance data processing?

Yes, it includes patterns for concurrent data processing using Task.async_stream, backpressure management with GenStage, and in-memory storage via ETS.

What is the Elixir OTP skill for Claude Code?

It is a specialized capability that provides patterns and best practices for building concurrent, fault-tolerant systems using Elixir's OTP framework within the Claude Code environment.

Elixir OTP & Concurrency

Name: Elixir OTP & Concurrency
Author: vinnie357

byvinnie357

Developer Tools

Builds fault-tolerant, concurrent Elixir systems using OTP behaviors, supervision trees, and advanced process management.

About

This skill provides specialized guidance for architecting and implementing distributed, resilient applications using the Erlang/Elixir Open Telecom Platform (OTP). It empowers developers to manage process lifecycles with Supervisors, handle stateful logic through GenServers, execute asynchronous work with Tasks, and optimize performance using Erlang Term Storage (ETS). By applying 'let it crash' philosophies and circuit breaker patterns, it ensures high availability and robustness in complex backend systems and real-time applications.

Key Features

Managing concurrent workloads with Task and Task.Supervisor
Implementation of GenServer, GenStage, and Agent behaviors
Designing hierarchical supervision trees for fault-tolerant architectures
0 GitHub stars
Optimizing data storage and retrieval with ETS (Erlang Term Storage)
Applying advanced patterns like backpressure and circuit breakers

Use Cases

Optimizing high-throughput data processing pipelines using GenStage
Designing resilient microservices with automated self-healing capabilities
Building scalable real-time messaging or streaming applications

About

Key Features

Managing concurrent workloads with Task and Task.Supervisor
Implementation of GenServer, GenStage, and Agent behaviors
Designing hierarchical supervision trees for fault-tolerant architectures
0 GitHub stars
Optimizing data storage and retrieval with ETS (Erlang Term Storage)
Applying advanced patterns like backpressure and circuit breakers

Use Cases

Optimizing high-throughput data processing pipelines using GenStage
Designing resilient microservices with automated self-healing capabilities
Building scalable real-time messaging or streaming applications