What is Smart Intent Detection for Rails?

It is a specialized capability for Claude Code that analyzes your prompts to automatically suggest or trigger the most relevant Rails development workflows and utility agents.

How does it help with debugging?

It recognizes error patterns, stack traces, and keywords like 'fix' or 'bug' to automatically suggest the systematic debugging workflow and relevant log analysis tools.

Does it work with any Rails project?

Yes, while part of the ReAcTree plugin, it is designed to be generic and portable across any Rails project regardless of its specific architecture.

What are the utility agents it routes to?

It routes to specialized agents for file discovery (file-finder), code navigation (code-line-finder), Git history (git-diff-analyzer), and Rails log parsing (log-analyzer).

Can I disable the automatic triggers?

Yes, you can configure the detection mode to 'suggest' for non-intrusive tips, 'inject' for automatic activation, or set it to 'disabled' in your configuration file.

Smart Intent Detection for Rails

Name: Smart Intent Detection for Rails
Author: Kaakati

byKaakati

•

Productivity & Workflow

Analyzes developer prompts to automatically suggest optimized Rails workflows and route tasks to specialized utility agents.

Smart Intent Detection enhances the ReAcTree Rails development experience by intelligently interpreting natural language prompts to streamline complex workflows. It acts as a traffic controller, automatically identifying whether a developer needs to find specific code via LSP, analyze logs for errors, or initiate full-scale feature development. By reducing manual command entry and ensuring the right specialized agent is triggered for the right task, it minimizes friction in enterprise-grade Rails environments and maintains project momentum through context-aware routing and keyword analysis.

Key Features

01Configurable detection modes including Suggest, Inject, and Disabled options

02Automated utility routing for file discovery, LSP code navigation, and log analysis

03Specialized TDD mode detection based on test-first keywords and coverage requirements

04Context-aware workflow identification for features, debugging, and refactoring

05Intelligent noise filtering to ignore non-actionable prompts and simple questions

062 GitHub stars

Use Cases

01Navigating directly to method definitions or file locations using natural language requests

02Automatically triggering a debugging workflow when pasting stack traces or error logs

03Converting user stories into multi-agent feature implementation workflows without manual setup

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kaakati/rails-enterprise-dev smart-detection

For use in Claude.ai and ChatGPT

Download Skill