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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 has an ADK agent prototype and needs to deploy it to dev/prod on Agent Runtime, Cloud Run, or GKE after eval and tests pass.
agents-cli scaffold enhance if not scaffolded, then explicit human approval before agents-cli deployagents-cli deploy with flags for project, scaling, networking, secretsagents-cli infra single-project for advanced infraA container-based agent deployed to a managed target with correct scaling, networking, and verification steps tracked via task list.
Use Cases
A developer finishes building an ADK prototype and needs to deploy it to Cloud Run for internal testing. Using this skill, they run `agents-cli scaffold enhance` then get explicit approval before `agents-cli deploy --project X --region us-central1`. The skill's flag reference and sizing guide help set concurrency and memory. Result: a running service with curl-based smoke tests.
A platform engineer must ship an agent to Agent Runtime with private VPC via PSC. The skill's decision matrix confirms Agent Runtime fit, and the network-attachment flags configure DNS peering. They poll `agents-cli deploy --status` after a timeout. Value: managed OAuth-ready agent with private connectivity and minimal ops overhead.
Skill Relationships
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Tier 1 · These Skills Use Me
Tier 2 · Current Skill
Tier 3 · I Use These Skills
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Skill File