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By jwplatta
Ruby development plugin with POODR principles, Sandi Metz refactoring patterns, and Ruby best practices
npx claudepluginhub jwplatta/agent-cubicle --plugin rubyistManage Ruby dependencies with Bundler
Scaffold a new Ruby gem with best practices
Get interactive refactoring suggestions using Sandi Metz's techniques from 99 Bottles
Review Ruby code for POODR principles, SOLID design, and Ruby best practices
Run RuboCop and apply style fixes
Intelligent Bundler operations for managing Ruby dependencies.
Intelligent gem creation and scaffolding following Ruby best practices.
Automatically detect and suggest common Ruby patterns when working with Ruby code.
Intelligently analyze RSpec test failures and provide actionable debugging guidance.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Implement or modify Ruby code using the claude-agent-sdk gem. Covers query() one-shot calls, Client-based interactive sessions, streaming input, all 27 hook events, permission callbacks, SDK MCP servers, structured output, bare mode, sandbox settings, session management, Rails integration, and custom transports.
Complete developer toolkit for Claude Code
Advanced Ruby skills for object-oriented programming, metaprogramming, blocks, and gems.
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>
Teaches Claude core tsk commands for delegating development tasks to AI agents in sandboxed containers.
70+ Claude Code slash commands across 12 development phases with Dagger-based safety system, multi-dimensional validation, and specialized agents
Python project setup and development workflows following modern best practices with uv, ruff, pytest, and FastAPI
Quantitative finance tutoring and problem solving
Plugin for building Obsidian plugins
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
Runs pre-commands
Contains inline bash commands via ! syntax
Runs pre-commands
Contains inline bash commands via ! syntax
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
Share bugs, ideas, or general feedback.
This is my personal, sandboxed Docker setup for running AI coding agents with full autonomy.
Agents:
Each agent gets:
cp .env.example .env
# add your API keys
docker-compose up -d
docker exec -it claude-cubicle claude
See DOCKER_SETUP.md for the detailed setup.
CLAUDE.md and AGENTS.md.