railtracks

Define tools, agents, and flows with a rails-based Python framework.

Updated Aug 27, 2026

Search Tags:#python #llm #agent #flow #claude-code #tools #railtracks

Ready to run

npx skills add https://github.com/kvn8888/MultiModalAgentsHackathon --skill railtracks

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: railtracks
Source: https://github.com/kvn8888/MultiModalAgentsHackathon/tree/main/.cursor/skills/railtracks
Command: npx skills add https://github.com/kvn8888/MultiModalAgentsHackathon --skill railtracks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Railtracks provides a modular framework to build Claude-code agents, enabling clean tool definitions and orchestrated agent workflows.

Core Features & Use Cases

Define tools with @rt.function_node and full type hints.
Create agents with rt.agent_node(...) and integrate with an LLM.
Wrap execution in a rt.Flow entry point for end-to-end automation.
Example: Build a Greeter Agent that uses tools and an LLM to respond to user requests.

Quick Start

Install the skill, define a tool with @rt.function_node, create an agent with rt.agent_node, and run a Flow to execute a task.

Frequently Asked Questions about railtracks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build Claude-code agents with Python?▼

You can build Claude-code agents in Python by defining tools with the @rt.function_node decorator, creating agents using rt.agent_node, and executing the workflow through a rt.Flow entry point for end-to-end automation.

What is the best way to orchestrate LLM agent flows?▼

Orchestrating LLM agent flows is best handled by a rails-based framework that structures tool definitions, coordinates agent nodes, and wraps execution in a single flow entry point.

Do I need Python 3.10 to use this agent orchestration framework?▼

Yes, the agent orchestration framework requires Python 3.10 or higher to deploy agents and execute flows built with rt.function_node and rt.agent_node definitions.

How does a rails-based framework help define tools for LLMs?▼

A rails-based framework helps define tools for LLMs by allowing you to use decorators like @rt.function_node with full type hints, ensuring clean modular definitions before integrating them into agent nodes.

Can I create end-to-end automation flows with Claude-code?▼

Yes, you can create end-to-end automation flows with Claude-code by combining function nodes as tools, wrapping an LLM in an agent node, and executing the entire sequence through a rt.Flow entry point.

What are the limitations of building agents without an orchestration framework?▼

Building agents without an orchestration framework often leads to unstructured tool definitions and fragmented workflows, whereas a rails-based approach enforces clean type hints and unified flow execution.