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adk-agent-builder

Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between agents, human-in-the-loop pauses, and pytest coverage for all of it. Use when asked to create an agent or a workflow, add a tool to one, branch or loop between nodes, run steps in parallel, pause for user approval, or test an agent. Don't use for explaining how ADK works internally or designing its core components (use `adk-architecture`), for an agent that already runs but misbehaves (use `adk-debug`), for authoring a sample under `contributing/` (use `adk-sample-creator`), or for naming, typing, and formatting conventions (use `adk-style`).

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

获取

https://deepseekmodel.com/api/download.php?id=google-adk-python-agents-skills-adk-agent-builder-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-agent-builder description Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between agents, human-in-the-loop pauses, and pytest coverage for all of it. Use when asked to create an agent or a workflow, add a tool to one, branch or loop between nodes, run steps in parallel, pause for user approval, or test an agent. Don't use for explaining how ADK works internally or designing its core components (use `adk-architecture`), for an agent that already runs but misbehaves (use `adk-debug`), for authoring a sample under `contributing/` (use `adk-sample-creator`), or for naming, typing, and formatting conventions (use `adk-style`). ADK Agent Builder Read only the reference that matches the task. Loading the whole tree costs context and buries the part that matters. Every API below was checked against google-adk 2.6.2. If a symbol is missing at runtime, read the source under src/google/adk/ rather than guessing a neighbouring name. Start here Task Reference First agent, environment, adk CLI getting-started.md Which import path is the canonical one import-paths.md The rules that cause most runtime failures best-practices.md Building blocks tool-catalog.md — function tools, MCP, OpenAPI, Google API toolsets, built-in tools, custom BaseTool and BaseToolset . function-nodes.md — plain functions as nodes: parameter resolution, generators, node_input typing rules. llm-agent-nodes.md — an LlmAgent used as a workflow node: output types, instruction templates, output_schema , auto-wrapping behavior. task-mode.md — mode='task' and mode='single_turn' delegation with schema-validated input and output. Graph orchestration routing-and-conditions.md — routed edges, dict routing maps, default routes, self-loops, revision loops. parallel-and-fanout.md — fan-out edges, JoinNode fan-in, parallel_worker=True list processing. dynamic-nodes.md — scheduling nodes at runtime with ctx.run_node() and imperative workflow construction. human-in-the-loop.md — RequestInput , resume behavior, resumable vs replayed sessions. advanced-patterns.md — nested workflows, retries, custom BaseNode subclasses, graph validation rules. multi-agent.md — chat-transfer hierarchies, and the deprecated SequentialAgent / LoopAgent / ParallelAgent shells that Workflow replaces. Runtime and verification state-and-events.md — the Context object, Event fields, and how state flows between nodes. session-and-state.md — session services, artifacts, memory, and state key scoping. callbacks-and-plugins.md — the six agent callbacks and app-level plugins. testing.md — pytest with InMemoryRunner , faking a model, asserting on node output.
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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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