An AI agent becomes easier to shape when its capabilities are organized into reusable skills. Build Agent Skills with Google explores that approach through custom skill construction, runtime behavior and deployment demonstrations.
This free intermediate course is useful for developers who want to understand when to use agent skills and how Google’s tooling connects the pieces. It moves from skill building blocks to sharing, built-in capabilities and the Agents CLI. The learning experience is free; independently operating the resulting software is a separate question.
Course at a glance
| Provider | |
|---|---|
| Platform | Google Skills |
| Level | Intermediate |
| Language | English |
| Estimated time | 2 hours 15 minutes; development practice may take longer |
| Format | Twelve required web activities, including demonstrations and an embedded quiz |
| Access | Free instruction; free learner account |
| Recognition | Completion badge advertised; not professional certification |
What you’ll learn
- Explain when agent skills are useful and how their building blocks fit together.
- Follow an end-to-end custom-skill workflow using Google Antigravity.
- Examine runtime mechanics, scaling, sharing and built-in skills.
- Explore Google Agents CLI concepts and a step-by-step agent deployment demonstration.
Skills you’ll gain
- Agent skill design
- Reusable capability planning
- Skill runtime concepts
- Developer tooling awareness
- Agent deployment workflow
Understand the skill before expanding the agent
The curriculum introduces agent skills, custom construction and skill building blocks before a step-by-step demonstration. Runtime mechanics come next, followed by scaling and sharing. This order helps you connect the definition of a skill with how it is used and maintained.
Later activities introduce built-in skills and the Agents CLI, then demonstrate agent deployment. A summary and embedded quiz conclude the course. All twelve activities are marked required in the public curriculum, including the quiz presented inside a web activity.
The course page discusses Google Antigravity, the Agent Development Kit, Skill Registry and Google Agents CLI. These are part of its development context. Studying the demonstrations does not establish that every product, model call or cloud resource discussed is included at no cost.
Design for a specific capability, then examine its boundaries
A useful way to approach the material is to keep one narrow capability in mind. For independent reflection, imagine a skill that formats supplied public training information into a consistent summary. Describe its input, expected output and limits before considering how an agent would invoke it.
This is optional study guidance, not a Google assignment or a complete skill specification. It does not require a live agent, a cloud deployment or access to private information. Its purpose is to make the building-block and runtime lessons easier to compare with a concrete need.
As you watch the demonstrations, distinguish the skill definition from the environment that runs it. What needs to be shared? What must remain available at runtime? What would you test before trusting the result? Those questions support a more precise development discussion without promising that a deployed agent will work indefinitely or always produce a correct answer.
Google labels the course Intermediate. Familiarity with development workflows will help you follow the tooling discussion; this is preparation advice, not an invented formal admission requirement. The two-hour-fifteen-minute estimate may grow if you pause to reproduce or investigate the examples.
Use the final summary and quiz to check that you can explain the workflow in your own words. Recognizing a tool name is different from understanding its role or the operating conditions of a real deployment.
Free instruction and completion details
Google Skills currently advertises the instruction as Free and uses a free learner account. The complete public curriculum contains twelve required web activities, including an embedded quiz, with no separately listed provisioned cloud lab.
The advertised completion badge is course recognition, not academic credit or professional certification. Independently building or operating an agent can require model, tool or cloud access with separate costs. No permanently connected free worker, unlimited hosting or guaranteed autonomous result is promised.
Explore the free course catalogue for further learning that fits the concepts you want to develop.
Frequently asked questions
Does the course contain an assessment?
Yes. Its final Quiz is an embedded web activity, not a separately typed quiz in the manifest. All twelve listed web activities are marked required.
Are deployment and model usage guaranteed free?
No. The course instruction is advertised as Free. Independently operating tools, calling models or deploying cloud resources has separate access and pricing conditions.
Which development topics does the course cover?
Custom skills, building blocks, runtime mechanics, scaling and sharing, built-in skills, Google Antigravity and Agents CLI appear in the course, including skill-building and deployment demonstrations.
Questions & discussion
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