SkillsAdd

google/adk-python

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 cor…

First seen May 19, 2026

Installation

$ npx skills add google/adk-python --skill adk-agent-builder
View on skills.sh ↗ GitHub repository ↗

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Also in this package

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npx skills add google/adk-python
adk-architecture 70 adk-debug 67 adk-style 63 adk-setup 59 weather-skill 58 adk-sample-creator 56 adk-git 47 adk-review 42 adk-unit-guide 40 adk-unit-design 32

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 21.5K
License LICENSE
Default branch main
Open issues 277
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,543 B
  • docs SUMMARY.md 766 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 90 installs

SKILL.md

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](references/getting-started.md)
Which import path is the canonical one [import-paths.md](references/import-paths.md)
The rules that cause most runtime failures [best-practices.md](references/best-practices.md)

Building blocks

  • [tool-catalog.md](references/tool-catalog.md) — function tools, MCP, OpenAPI,

Google API toolsets, built-in tools, custom BaseTool and BaseToolset.

  • [function-nodes.md](references/function-nodes.md) — plain functions as nodes:

parameter resolution, generators, node_input typing rules.

  • [llm-agent-nodes.md](references/llm-agent-nodes.md) — an LlmAgent used as a

workflow node: output types, instruction templates, output_schema, auto-wrapping behavior.

  • [task-mode.md](references/task-mode.md) — mode='task' and

mode='single_turn' delegation with schema-validated input and output.

Graph orchestration

  • [routing-and-conditions.md](references/routing-and-conditions.md) — routed

edges, dict routing maps, default routes, self-loops, revision loops.

  • [parallel-and-fanout.md](references/parallel-and-fanout.md) — fan-out edges,

JoinNode fan-in, parallel_worker=True list processing.

  • [dynamic-nodes.md](references/dynamic-nodes.md) — scheduling nodes at runtime

with ctx.run_node() and imperative workflow construction.

  • [human-in-the-loop.md](references/human-in-the-loop.md) — RequestInput,

resume behavior, resumable vs replayed sessions.

  • [advanced-patterns.md](references/advanced-patterns.md) — nested workflows,

retries, custom BaseNode subclasses, graph validation rules.

  • [multi-agent.md](references/multi-agent.md) — chat-transfer hierarchies, and

the deprecated SequentialAgent / LoopAgent / ParallelAgent shells that Workflow replaces.

Runtime and verification

  • [state-and-events.md](references/state-and-events.md) — the Context object,

Event fields, and how state flows between nodes.

  • [session-and-state.md](references/session-and-state.md) — session services,

artifacts, memory, and state key scoping.

  • [callbacks-and-plugins.md](references/callbacks-and-plugins.md) — the six

agent callbacks and app-level plugins.

  • [testing.md](references/testing.md) — pytest with InMemoryRunner, faking a

model, asserting on node output.