adk-python

Central hub for building, testing, and iterating on ADK agents. Trigger this skill when the user wants to create a new agent, configure modes (task, single-turn), or build graph-based workflows.

Author new samples for the ADK Python repository. Use this skill when the user wants to create a new sample demonstrating a feature or agent pattern (e.g., dynamic nodes, standalone agents, fan-out/fan-in) or when adding examples to subdirectories under `contributing/`.

Creates or updates code unit design documents for source code documentation.

Creates detailed code unit guides for source code documentation.

Set up a local development environment for the ADK Python project. Use when the user wants to get started developing, set up their environment, install dependencies, or prepare for contributing.

Reviews all local changes in the repository for errors, styling compliance, unintended outcomes, and necessary documentation/test/sample updates. Generates a report and assists in fixing identified issues on-demand. Triggers on "adk-review", "review changes", "pr review", "check code style", "verify changes".

ADK development style guide for routine nits — Python idioms, codebase conventions, imports, typing, Pydantic patterns, formatting, logging, async/concurrency, and file organization. Use this skill whenever writing code, tests, or reviewing PRs for the ADK project to ensure compliance with styling and coding conventions. Triggers on "code style", "how should I format", "naming convention", "lint", "nit", "imports", "typing", "Pydantic patterns", "testing rules", "async", "io".

Use for any git operation (commit, push, pull, rebase, branch, PR, cherry-pick, etc.). Provides commit message format and conventions.

ADK architectural knowledge — graph orchestration, resumption, execution flow, node contracts, observability, and LLM context orchestration. Use this skill whenever you need to understand the architecture, event flow, or state management of the ADK system, or when designing or modifying core components. Triggers on "how does X work", "design of", "architecture of", "event flow", "resumption state", "checkpoint", "BaseNode", "NodeRunner".

Use when debugging ADK agents, inspecting sessions, testing agent behavior, troubleshooting tool calls, event flow issues, or diagnosing LLM/model problems.

A skill that provides weather information based on reference data and scripts.

Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).