Skills Plugins MCP Prompt Model 博客 我的中心
Development #python #design #ai #agent

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 Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=google-adk-python-agents-skills-adk-agent-builder-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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.
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。