Agent Skills is a standard for packaging specialized AI expertise into discoverable, on-demand capabilities that reduce token usage in LLM-based agents. Using progressive disclosure via SKILL.md files, agents load only the frontmatter initially and activate full skill bodies when needed. This post demonstrates how to integrate Agent Skills into Genkit Go applications using middleware, covering a recipe generator and a multimodal art restoration app that dynamically selects skills based on image type. Code samples show how to configure the Skills middleware with SkillPaths and best practices for production use.
Table of contents
Agent Skills in Genkit GoHow it worksPreparing the environmentAdding skills to a basic flowA more realistic exampleBest practices for skillsGet started3.9K Impressions1 Comment