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adk-architecture

Explains how the ADK runtime fits together: the node and graph execution model, Context and Event flow, checkpoint and resume, tracing, and the rules governing the public API surface. Use when answering "how does X work" about ADK internals, tracing where an event or a piece of state comes from, deciding where a new capability belongs, reviewing a change to BaseNode, Workflow, Runner, Agent, Event or Context, working out why a node re-ran or stayed waiting after a resume, or judging whether a change breaks the public API. Don't use for assembling an agent from existing pieces (use adk-agent-builder), diagnosing one failing run or test (use adk-debug), or formatting and naming conventions (use adk-style).

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=google-adk-python-agents-skills-adk-architecture-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name adk-architecture description Explains how the ADK runtime fits together: the node and graph execution model, Context and Event flow, checkpoint and resume, tracing, and the rules governing the public API surface. Use when answering "how does X work" about ADK internals, tracing where an event or a piece of state comes from, deciding where a new capability belongs, reviewing a change to BaseNode, Workflow, Runner, Agent, Event or Context, working out why a node re-ran or stayed waiting after a resume, or judging whether a change breaks the public API. Don't use for assembling an agent from existing pieces (use adk-agent-builder), diagnosing one failing run or test (use adk-debug), or formatting and naming conventions (use adk-style). ADK Architecture The runtime is a graph of nodes. BaseNode is the unit of execution. Workflow is a node that schedules other nodes along declared edges. NodeRunner executes exactly one node. Runner owns the invocation and the session. Agents are nodes too — BaseAgent extends BaseNode . A node communicates with its parent through a per-execution Context , and with the session through Event s it yields. Those are two separate channels: ctx carries the result upward, events carry persistence and streaming. Read the source before relying on any signature here. These notes drift; the code does not. Paths below are relative to src/google/adk/ . Pick a reference Question Reference What must a node implement? What may it yield? Which config fields exist? BaseNode How does the graph schedule nodes, dedup dynamic children, propagate interrupts? Workflow How does a caller start an invocation? Runner What is Agent , and which methods do I call on it? Agent I am subclassing an agent — what do I override? BaseAgent What is on an Event , and what may I assume about its lifetime? Event What does a node read and write on ctx ? Context Who creates the child Context, stamps events, retries, catches errors? NodeRunner Why are Runner, NodeRunner and Workflow three separate things? Runner roles How does a human-in-the-loop pause and resume work for one node? Checkpoint and resume How does a whole workflow survive a pause, and what does is_resumable change? Workflow resumability How are spans created, and what attributes do they carry? Observability Why does the model not see the raw event log? LLM context orchestration Is this change a breaking change? Where does a new export belong? API principles Where the code lives Concept Module BaseNode , START workflow/_base_node.py Workflow , _LoopState workflow/_workflow.py Graph , edge compilation workflow/_graph.py NodeRunner workflow/_node_runner.py DynamicNodeScheduler workflow/_dynamic_node_scheduler.py ReplayManager (resume scan) workflow/utils/_replay_manager.py NodeInterruptedError , NodeTimeoutError workflow/_errors.py Context , ctx.run_node() agents/context.py ReadonlyContext agents/readonly_context.py InvocationContext agents/invocation_context.py BaseAgent , LlmAgent (aliased Agent ) agents/base_agent.py , agents/llm_agent.py Event , NodeInfo events/event.py EventActions events/event_actions.py Branch paths ( parent.child@1 ) events/_branch_path.py Node paths ( wf@1/child@2 ) events/_node_path_builder.py Runner , InMemoryRunner runners.py LiveRequestQueue , LiveRequest live/live_request_queue.py Node spans, TelemetryContext telemetry/node_tracing.py ResumabilityConfig apps/_configs.py Everything under workflow/ is a leading-underscore module. Treat those names as internal — they can change without a major version bump, so a change there is not automatically a breaking change.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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