Build a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python

A tutorial shows how to build a modular, skill-based LLM agent framework in Python.

It uses metadata-rich skills, a central registry, and OpenAI tool calling to route tasks dynamically.

The system supports composing multiple skills for multi-step reasoning and adding new capabilities at runtime.

An observability dashboard tracks skill usage and makes the agent system easier to inspect and maintain.