programming-elixir

Guide Elixir developers in designing OTP-first architectures with supervision trees and idiomatic patterns.

3|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/Muvon/octomind-tap --skill programming-elixir
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: programming-elixir
Source: https://github.com/Muvon/octomind-tap/tree/main/skills/programming-elixir
Command: npx skills add https://github.com/Muvon/octomind-tap --skill programming-elixir

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you design and write maintainable Elixir applications by aligning development practices with OTP, supervision, concurrency, and the idiomatic control-flow patterns that reduce production failures.

Core Features & Use Cases

  • OTP-first architecture guidance for structuring supervision trees, restart strategies, and process boundaries around real jobs.
  • Idiomatic Elixir patterns covering pattern matching, tagged tuples, with-based error flow, and correct use of structs and types.
  • Practical Phoenix/LiveView and testing conventions for keeping contexts as public APIs, offloading long work, streaming data, and writing reliable ExUnit tests.

Quick Start

Ask the assistant to review your proposed Elixir/Phoenix design and refactor it toward an OTP supervision tree with idiomatic with-based error handling and testable pure core modules.

Frequently Asked Questions about programming-elixir

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure an OTP supervision tree in Elixir for production applications?

Structure Elixir OTP supervision trees by selecting appropriate restart strategies, defining process isolation boundaries, and implementing concurrency patterns to reduce production failures and maintain robust process management.

What is the best way to handle errors in Elixir using with statements and tagged tuples?

Handle Elixir errors idiomatically using tagged-tuple returns and `with` happy-path pipelines to shape control flow, ensuring boundary-level rescue without promoting unsafe behavior in production systems.

How do I organize Phoenix LiveView contexts and offload long-running work?

Organize Phoenix LiveView by keeping contexts as public APIs, offloading long-running work to supervised processes, and streaming data to maintain responsive real-time user interfaces.

Does this approach work for writing reliable ExUnit tests in Elixir?

Yes, the approach shapes ExUnit testing workflows by emphasizing testable pure core modules, process isolation, and idiomatic pattern matching to build reliable and maintainable Elixir test suites.

When should I not use process isolation in Elixir OTP architectures?

Avoid unsafe process isolation when it complicates boundary-level rescue logic or prevents correct supervision strategy selection, ensuring error handling remains idiomatic and system robustness is not compromised.