elixir-architect

🥈Silver

Elixir Architect is a Claude Code skill for designing production-ready Elixir/Phoenix applications. It generates documentation, ADRs, and handoff materials for operations teams. Connects to Ash and Claude Code workflows.

105100Updated Today

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/maxim-ist/elixir-architect.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/maxim-ist/elixir-architect

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Design an Elixir architecture for a [PROJECT_TYPE] application that handles [SPECIFIC_FUNCTIONALITY]. The system should support [NUMBER_OF_USERS] concurrent users and process [DATA_VOLUME] data daily. Include recommendations for key libraries, deployment strategies, and scalability considerations.

Example Output

For a real-time analytics dashboard project handling user behavior tracking, I recommend an Elixir architecture centered around Phoenix Channels for WebSocket communication and Ecto for database interactions. The system should use PostgreSQL for relational data and Redis for caching. For scalability, implement a load-balanced setup with multiple application nodes behind a reverse proxy like Nginx. Key libraries to consider include Oban for background job processing and Telemetry for monitoring. Deploy using Distillery for production releases and consider Kubernetes for orchestration in cloud environments. This architecture can comfortably handle 50,000 concurrent users and process 1TB of data daily, with horizontal scaling capabilities for future growth.