Structify — AI skill for Claude Code

Structify

[](https://badge.fury.io/rb/structify) [](https://github.com/kieranklaassen/structify/actions/workflows/ci.yml)

A Ruby gem for extracting structured data from content using LLMs in Rails applications

What is Structify?

Structify helps you extract structured data from unstructured content in your Rails apps:

• Define extraction schemas directly in your ActiveRecord models
• Generate JSON schemas to use with OpenAI, Anthropic, or other LLM providers
• Store and validate extracted data with ActiveRecord validations
• Access structured data through typed model attributes with full validation support

Use Cases

• Extract metadata, topics, and sentiment from articles or blog posts
• Pull structured information from user-generated content
• Organize unstructured feedback or reviews into categorized data
• Convert emails or messages into actionable, structured formats
• Extract entities and relationships from documents

# 1. Define extraction schema in your model
class Article < ApplicationRecord
  include Structify::Model

  schema_definition do
    field :title, :string
    field :summary, :text
    field :category, :string, enum: ["tech", "business", "science"]
    field :topics, :array, items: { type: "string" }
  end
end

# 2. Get schema for your LLM API
schema = Article.json_schema

# 3. Store LLM response in your model
article = Article.find(123)
article.update(llm_response)

# 4. Access extracted data
article.title    # => "AI Advances in 2023"
article.summary  # => "Recent developments in artificial intelligence..."
article.topics   # => ["machine learning", "neural networks", "computer vision"]

Install

# Add to Gemfile
gem 'structify'

Then:

bundle install

Database Setup

Add a JSON column to store extracted data:

add_column :articles,