Standardize ADK Python code formatting, typing, imports, logging, and Pydantic v2 models.
npx skills add https://github.com/google/adk-python --skill adk-style
Please help me install this Agent Skill. Skill: adk-style Source: https://github.com/google/adk-python/tree/main/.agents/skills/adk-style Command: npx skills add https://github.com/google/adk-python --skill adk-style
This skill removes ambiguity during ADK development by standardizing Python idioms, formatting, typing practices, Pydantic v2 patterns, logging, and file organization so contributions stay consistent and maintainable.
TYPE_CHECKING patterns, and the strict no-dependency direction from cli/ to the rest of the codebase.Field(), PrivateAttr(), validators).Use the adk-style skill whenever you are writing or reviewing ADK Python code to align with the project's established style, tests, and documentation conventions.
High-intent search queries and answers about installing and using this skill.
To enforce Python code style for ADK, standardize formatting, typing, imports, logging, and Pydantic v2 modeling. This ensures consistent structure like license headers, future annotations, and directory organization across contributions.
Pydantic v2 conventions for ADK Python code establish preferred patterns using Field(), PrivateAttr(), and validators. This provides strong typing guidance and consistent model structure for maintainable contributions.
Structure ADK imports by clarifying relative versus absolute imports and TYPE_CHECKING patterns. Enforce a strict no-dependency direction from the cli/ directory to the rest of the codebase to maintain clear boundaries.
ADK Python testing practices require verifying behavior through public interfaces. This approach standardizes test authoring to ensure contributions remain consistent, maintainable, and aligned with project documentation rules.
Yes, ADK code reviews require specific logging style and docstring expectations. Standardizing these elements during routine development and PR review removes ambiguity and keeps the codebase consistent.
rahulgupta2018Review ADK code against Python, Pydantic, and testing conventions.
albertoiruruetaCheck and enforce license header compliance in source and test files using Python scripting.
manikostoCreates typed Python models with validation, serialization, and ORM mode using Pydantic v2.
aisa-groupRun style checks on Python code and return structured JSON feedback.