google-agents-cli-adk-code

작성자: google

이 스킬은 사용자가 "에이전트 코드 작성", "ADK로 에이전트 구축", "도구 추가", "콜백 생성", "에이전트 정의", "상태 관리 사용"을 원하거나 ADK(Agent Development Kit) Python API 패턴 및 코드 예제가 필요할 때 사용해야 합니다. Google ADK 스킬 제품군의 일부입니다. 에이전트 유형, 도구 정의, 오케스트레이션 패턴, 콜백 및 상태 관리에 대한 빠른 참조를 제공합니다. 새 프로젝트 생성(google-agents-cli-scaffold 사용) 또는 배포에는 사용하지 마십시오...

npx skills add https://github.com/google/agents-cli --skill google-agents-cli-adk-code

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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/recipes.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/. 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.

Verify project: run agents-cli info (proceed if config exists).
New project: run agents-cli scaffold create <name> --agent adk_python --deployment-target <target> — use --agent adk_go for Go.
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.

Reference	Language	When to read
`references/recipes.md`	Python	Topic-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.md`	Python	Core 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.md`	Python	Graph-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.md`	Python	Live 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.md`	Go	Core 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.md`	Go	Graph-based Workflow API: nodes, edges, fan-out/fan-in, HITL, parallel processing. Use when you need explicit graph topology.
`examples/`	Go	Runnable upstream programs — the closest thing to a recipe catalog for Go.
`curl https://adk.dev/llms.txt`	Python	Docs index (every page title + URL). Fetch it, then `WebFetch` the specific page for anything beyond the cheatsheets.
Installed ADK package	Python	Exact 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