python-patterns
[ Featured ]Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
python-testing is a skill that enables developers to write efficient tests for their Python applications using pytest, fixtures, mocking, and parametrization.
backend-code-review is a skill that analyzes Python code under the api/ directory, checking for quality, security, and best practices based on established checklist rules.
component-refactoring is a skill that simplifies complex React components by applying refactoring patterns and workflows to improve code quality and reduce maintenance efforts.
Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.
frontend-code-review is a skill that automates the review of frontend code files, providing feedback on quality, performance, and logic.
frontend-query-mutation is a guide for implementing Dify frontend query and mutation patterns with TanStack Query and oRPC, focusing on contract management and efficient data handling.
Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Set up and manage the Sentry development environment using devenv. Handles fresh setup, updating existing environments, starting dev services, and troubleshooting. Use when asked to set up sentry, set
Reviews Python code with an extremely high quality bar for Pythonic patterns, type safety, and maintainability. Use after implementing features, modifying code, or creating new Python modules.
Use when asked to prepare new Flet release by bumping versions and author release notes.