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`).

Ir a la instalación Revisar archivos

Repositorio: google/adk-python
Última actividad en el origen: 1 de octubre de 2026 a las 21:28
Idioma detectado de SKILL.md: inglés
Estrellas: 21.709
Forks: 4101

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con un asistente de IA

Copia este prompt en el asistente de IA que estés usando.

Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/google/adk-python/tree/main/.agents/skills/adk-agent-builder.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/google/adk-python --skill adk-agent-builder

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

Explorador de archivos

18 archivos

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

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](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.

Ver en GitHub

Volver a la búsqueda Volver a la instalación

adk-review

Reviews the uncommitted changes in an adk-python working tree and reports correctness, design, public-API stability, test, sample and documentation gaps as a prioritized findings report, fixing them only when asked. Use when the user asks to review local changes, wants a self-review before opening a pull request, asks whether a change breaks the public API or needs tests, samples or docs, or asks what is wrong with the current diff. Required for changes to public APIs, core architecture (Runner, Workflow, BaseNode), new features and major refactors. Don't use for a single style nit (use adk-style), for diagnosing a failing test or a misbehaving agent at runtime (use adk-debug), or for wording a commit message or PR description (use adk-git).

2026-10-03

adk-style

Python style and codebase conventions for ADK (Agent Development Kit): private-by-default file visibility, imports, type hints, Pydantic v2 models, formatting, docstrings, logging, async I/O, file and test layout, and unit test structure. Use when writing or editing ADK source or tests, deciding whether a new file or symbol should be public or private, naming or placing a test file, fixing a formatter, linter, or type-check failure (pyink, isort, ruff, mypy, addlicense, compliance-checks), or asking whether code matches house style. Don't use for reviewing a whole changeset (use adk-review), writing a developer guide or design doc for a code unit (use adk-unit-guide or adk-unit-design), building or configuring agents (use adk-agent-builder), or installing the toolchain (use adk-setup).

2026-10-03

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).

2026-10-01

Ver todos los de este repositorio

adk-agent-builder

Datos de origen

Opciones de instalación

Instalar con un asistente de IA

Revisa los archivos de origen

Más de este repositorio

Instalar con un asistente de IA

Más de este repositorio