Skill Detail

Give Rails coding agents live app context with rails-ai-context

Use rails-ai-context to expose a running Rails app's schema, routes, models, controllers, conventions, and test patterns through MCP tools so coding agents verify before editing.

Developer ToolsMCP
Developer Tools MCP Security Reviewed
⭐ 151 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill give-rails-coding-agents-live-app-context-with-rails-ai-context Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
rails-ai-context gem or CLI, Rails app, Ruby, compatible MCP host or coding assistant
Install & setup
Add gem "rails-ai-context", group: :development and run rails generate rails_ai_context:install, or install standalone with gem install rails-ai-context, then run rails-ai-context init and rails-ai-context serve from the Rails app.
Author
Cris Nahine
Publisher
Independent Open Source
Last updated
Aug 1, 2026
Quick brief

# Give Rails coding agents live app context with rails-ai-context

How it works

What this skill actually does

Use this skill when an agent is editing a Rails app and needs live project facts instead of guessing from stale file reads or training data. rails-ai-context installs as a development gem or standalone CLI, starts an MCP server, and gives coding assistants tool access to schema, associations, routes, controllers, views, conventions, callers, tests, and semantic validation.

## What the agent/operator does

1. Add `rails-ai-context` to the Rails app or install it standalone.
2. Run the installer or `rails-ai-context init` to configure the project.
3. Start the MCP server with `rails-ai-context serve` or use the generated assistant configuration.
4. Ask the coding agent to query live Rails context before migrations, route changes, controller edits, model changes, view work, or test generation.
5. Use returned confidence tags, source locations, callers, and semantic validation results to decide whether an edit is correct.
6. Keep the server scoped to development workflows and the local Rails app being edited.

## When to invoke

Invoke this instead of using a coding assistant normally when the task depends on real Rails application structure: existing columns, association names, routes, inherited filters, conventions, partials, factories, fixtures, or callers. It is strongest before schema changes, refactors, controller work, and test generation where a wrong assumption causes churn.

## Scope boundary

This is not a generic Rails plugin listing, Rails documentation reference, or broad MCP server category. Keep the workflow scoped to giving coding agents live, queryable Rails application context and validation through the rails-ai-context gem, CLI, and MCP server.

## Requirements

– A Rails 7.0 through 8.1 app.
– Ruby 3.1 through 3.4.
– rails-ai-context installed in development or as a standalone gem.
– A compatible MCP host or coding assistant such as Claude Code, Cursor, GitHub Copilot, OpenCode, or Codex CLI.

## Installation

Add the gem in development:

gem “rails-ai-context”, group: :development
rails generate rails_ai_context:install

Or install standalone:

gem install rails-ai-context
cd your-rails-app
rails-ai-context init
rails-ai-context serve

## Verification notes

Source metadata was verified from the exact GitHub repository, README, and RubyGems package metadata. As of this intake run, crisnahine/rails-ai-context had 151 GitHub stars, MIT license metadata, same-day push activity, RubyGems version 5.16.2, 29,881 total gem downloads, README evidence for 39 MCP tools and 5 resource templates, Rails 7.0-8.1 support, Ruby 3.1-3.4 support, confidence tags, semantic validation, and generated configuration for multiple coding assistants.