About this Skill
Official workflows for building, evaluating, deploying and observing agents with Google Agents CLI.
Why we picked it
Seven coordinated workflows for the Google Agents CLI lifecycle; each task has its own instructions and references.
Skills in this collection
7 skills- View →
ADK Code Reference
Write ADK Python or Go agents with patterns for tools, callbacks, state and orchestration.
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Agent Development Workflow
Plan and follow an agent lifecycle from requirements and scaffolding through evaluation and deployment.
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Agent Project Scaffolding
Create or enhance agent projects with agents-cli scaffolds and optional deployment configuration.
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Agent Evaluation
Build evaluation datasets, run and grade agent traces, and investigate failures.
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Agent Deployment
Prepare agent deployment with agents-cli for Agent Runtime, Cloud Run or GKE.
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Gemini Agent Registration
Register an already deployed agent with Gemini and manage Agent Registry entries.
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Agent Observability
Configure and troubleshoot tracing and logs for agents built with agents-cli.
What it helps with
- Build and operate an ADK agent with a coding assistant.
Before you use it
- The Skills work with a coding agent and the bundled references. Task execution uses agents-cli; upstream lists Python 3.11+, uv and Node.js. Local model calls require configured provider access; cloud deployment needs a Google Cloud project and may incur charges.
Sources & references
Original sources are linked below. Practical starting points are editorial suggestions from SkillHey.