Ruby Llm

What it does

The ruby-llm skill allows AI agents to execute Ruby code snippets and leverage LLMs within those scripts. It enables complex logic, data manipulation, and external API calls that are difficult or impossible with standard prompt engineering alone. This provides a powerful way to extend the capabilities of an agent beyond simple text generation.

When to use it

• Data Transformation: When you need to process structured data (e.g., CSV files) and perform calculations before generating output.
• API Integration: To interact with external services or APIs that require Ruby-specific libraries or authentication methods.
• Complex Logic: When the reasoning required goes beyond simple instructions, needing conditional logic or iterative processes best implemented in code.
• Dynamic Content Generation: To generate content based on real-time data fetched from external sources via Ruby scripts.

Key capabilities

• Ruby Code Execution: Executes provided Ruby code snippets.
• LLM Integration: Allows the use of LLMs within Ruby code for enhanced functionality.
• External API Calls: Enables interaction with external services and APIs through Ruby libraries.
• Data Manipulation: Provides tools to process and manipulate data within Ruby scripts.

Example prompts

• "Write a ruby script to fetch today's weather from the OpenWeatherMap API and then generate a summary."
• "Can you use ruby to read this CSV file, calculate the average of column 'price', and output the result?"
• "Generate a Ruby script that uses an LLM to translate this paragraph into French, then prints the translated text."

Tips & gotchas

• Requires a working Ruby environment with necessary libraries installed. Ensure your agent has access to these dependencies.