Build Skill-Augmented AI Agents with SkillNet for Search, Evaluation, Graph Analysis, and Task Planning

The tutorial shows how to use SkillNet to discover, evaluate, visualize, and orchestrate reusable AI skills.

It covers a client setup with the SDK and REST fallback, plus keyword versus semantic search for finding skills.

Skills can be installed from GitHub, inspected through metadata, and scored with evaluation criteria.

The tutorial also maps skill relationships as a graph and builds an agent planner that breaks goals into subtasks and assembles an execution pipeline.