# Rails AI Context

> Use this tool when you need to integrate AI assistants with your Rails application, providing them with a deep understanding of your app's structure and functionality. It solves problems of manual configuration and limited AI understanding by auto-exposing key aspects of your Rails app, including database, models, and architecture. The tool takes your Rails app as input and generates context files as output, compatible with popular AI assistants like Claude Code, Cursor, Windsurf, and Copilot.

Canonical page: https://skillsregistry.net/skills/gh-crisnahine-rails-ai-context  
JSON: https://api.skillsregistry.net/v1/skills/gh-crisnahine-rails-ai-context

## Description

Auto-expose Rails app structure to AI assistants via MCP. Provides zero-config introspection with 29 introspectors covering database, models, routing, controllers, views, frontend, gems, auth, API, testing, config, and architecture. Generates context files for Claude Code, Cursor, Windsurf, and Copilot.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-crisnahine-rails-ai-context)
- **Repository:** <https://github.com/crisnahine/rails-ai-context>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gh-crisnahine-rails-ai-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-crisnahine-rails-ai-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-crisnahine-rails-ai-context/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt