google/agents-cli

google-agents-cli-adk-code

This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples.

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Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

ADK Code Reference

Activate /google-agents-cli-workflow first for required development phases and scaffolding steps.

1. Study Recipes (No Project Needed)

Python — read the topic index in `references/samples.md` before answering "how do I build X". Worked implementations exist for: sandboxed/per-user code execution, agent-loadable SKILL.md skills, cross-session memory, approval gates before risky actions, tool guardrails, per-user credentials, and scheduled/event-driven runs.

Go — read the upstream [`examples/`](https://github.com/google/adk-go/tree/main/examples). clone the repo and read the one matching the capability you need before implementing it.

2. Prerequisites for Writing Code

Do NOT write agent code until a project is scaffolded.

  1. Verify project: run agents-cli info (proceed if config exists).
  2. New project: run agents-cli scaffold create <name> — add --agent adk_go for Go.
  3. Existing code: run agents-cli scaffold enhance ..

Quick Reference — Most Common Patterns

See references/adk-python.md and references/adk-go.md for Python and Go code examples, respectively.


References

Use the cheatsheets for common patterns. For deep knowledge, fetch the docs index or inspect the installed package.

ReferenceLanguageWhen to read
references/samples.mdPythonTopic-indexed catalog of ADK reference recipes. Read in workflow Phase 1 — before scaffolding and before writing code — maps a capability to the recipe that implements it.
references/adk-python.mdPythonCore ADK API: Agent, tools, callbacks, plugins, state, artifacts, multi-agent systems, SequentialAgent / ParallelAgent / LoopAgent, custom BaseAgent, ManagedAgent (server-hosted first-party agents), A2A protocol, A2UI. Default for most agents.
references/adk-python-workflows.mdPythonGraph-based Workflow API (ADK Python 2.0): nodes, edges, fan-out/fan-in, HITL, parallel processing. Use when you need explicit graph topology.
references/adk-python-live.mdPythonLive and voice agents: Runner.run_live, LiveRequestQueue, model and regional availability, voice/speech_config, VAD, session limits, /run_live serving. Use for real-time voice or video agents.
references/adk-go.mdGoCore ADK Go API: llmagent, tools, callbacks, plugins, state, artifacts, multi-agent systems, sequential/parallel/loop agents, custom agents, the runner, serving over HTTP, A2A protocol, and ambient triggers. Default for most agents.
references/adk-go-workflows.mdGoGraph-based Workflow API: nodes, edges, fan-out/fan-in, HITL, parallel processing. Use when you need explicit graph topology.
`examples/`GoRunnable upstream programs — the closest thing to a recipe catalog for Go.
curl https://adk.dev/llms.txtPythonDocs index (every page title + URL). Fetch it, then WebFetch the specific page for anything beyond the cheatsheets.
Installed ADK packagePythonExact signatures and symbols — inspect the source (see "Inspecting ADK Source Code" in references/adk-python.md).

Related Skills

  • /google-agents-cli-workflow — Development workflow, coding guidelines, and operational rules
  • /google-agents-cli-scaffold — Project creation and enhancement with agents-cli scaffold create / scaffold enhance
  • /google-agents-cli-eval — Evaluation methodology, dataset schema, and the eval-fix loop
  • /google-agents-cli-deploy — Deployment targets, CI/CD pipelines, and production workflows
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google-agents-cli-eval

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Agent Platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

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google-agents-cli-deploy

This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. Covers deployment workflows, service accounts, rollback, and production infrastructure. Applies to any framework agents-cli deploys (ADK, LangChain, ...). Part of the agents-cli skills suite. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).

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google-agents-cli-observability

This skill should be used when the user wants to "set up tracing", "monitor my agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed agents, including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).

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This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini Enterprise", "publish to Gemini Enterprise", or needs guidance on the agents-cli publish gemini-enterprise command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

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