Define tools, agents, and flows with a rails-based Python framework.
npx skills add https://github.com/kvn8888/MultiModalAgentsHackathon --skill railtracks
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
Railtracks provides a modular framework to build Claude-code agents, enabling clean tool definitions and orchestrated agent workflows.
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.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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