Domains
Forms
Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When a user wants to build, evaluate, or deploy an agent on Google Cloud using agents-cli, especially before writing code or scaffolding a project.
agents-cli CLI commands for scaffolding, running, and evaluatingA structured workflow that produces a scaffolded, evaluated, and deployable agent project with proper CI/CD and observability setup.
Use Cases
A developer receives a request to build a customer-support agent with RAG. Using this skill, they follow Phase 0 to clarify design, Phase 1 to study rag-vector-search sample, Phase 2 to scaffold, Phase 3 to build, Phase 4 to eval with LLM-judge, and Phase 5 to deploy. The workflow prevents skipped eval boilerplate and ensures quality before launch.
A team lead wants to prototype an internal agent and deploy to Cloud Run. They use the skill to scope via brainstorming, clone a matching sample, scaffold with agents-cli, smoke-test via `agents-cli run`, iterate with eval, then deploy and observe via the linked skills. Value: consistent process and reduced rework.
Skill Relationships
Dependency relationships read as "the upper tier points to the lower tier." The current Skill sits in the middle tier — above are Skills that depend on it, below are Skills it depends on.
Tier 1 · These Skills Use Me
Tier 2 · Current Skill
Tier 3 · I Use These Skills
Browse this skill's relationships within its skillset. Click a node to switch the side panel; use the search box to jump to any skill.
Skill File