Agent skill definition

What is an agent skill?

An agent skill is a reusable capability that an AI agent can discover, evaluate, install, and use to complete a specific workflow.

Core idea

Skills turn agent capability into reusable software.

A skill can contain instructions, scripts, prompts, examples, metadata, and installation guidance. The useful part is not only the code; it is the reusable decision about how an agent should perform a task.

OpenAgentSkill focuses on the registry layer: helping agents and builders find the right skill, compare alternatives, inspect audit signals, and install with a clear command or repository path.

Agent workflow

How an agent should choose a skill

Discover

Search the registry from a task description or workflow intent.

Compare

Check quality, GitHub adoption, freshness, platform fit, and alternatives.

Audit

Review risk notes, trust tier, metadata issues, and installation readiness.

Install

Copy the install command or repository path and test the skill in one workflow.

What is an agent skill?

An agent skill is a reusable capability package that helps an AI agent complete a specific task, such as web scraping, code review, document processing, data analysis, browser automation, or workflow automation.

How is an agent skill different from a normal tool?

A normal tool is usually called by a human or hard-coded integration. An agent skill is designed to be discovered, evaluated, installed, and reused by AI agents inside a workflow.

Why does an agent skill registry matter?

A registry lets agents search across reusable skills, compare trust and quality signals, inspect audit data, and choose a skill before installing it.