playwright-testing
Browser automation with Playwright for Python. Recommended for visual testing. (project)
按技能名称、说明或 GitHub 作者匹配的结果。
Browser automation with Playwright for Python. Recommended for visual testing. (project)
Expert guidance for Python testing with pytest framework. Use when (1) writing unit tests or integration tests, (2) setting up test fixtures for setup/teardown, (3) parametrizing tests with multiple inputs, (4)...
Guide for writing pytest unit tests for the airline-discount-ml project. Use when asked to create, run, or debug Python unit tests for models, data access, or agents.
Standard procedure for running pytest tests in the airline-discount-ml project with proper Python environment configuration.
Comprehensive pytest testing strategies with fixtures, mocking, and TDD patterns. WHEN: Writing pytest tests, creating fixtures, mocking with unittest.mock/pytest-mock, implementing TDD, setting up test configu...
Comprehensive Python testing with pytest framework, including test creation, fixtures, parameterized tests, and test execution. Use when Claude needs to work with Python testing for creating new tests, modifyin...
Python 3.13+ 개발 전문가로서 FastAPI, Django, async 패턴, 데이터 과학, pytest를 사용한 테스팅, 그리고 현대적 Python 기능을 다룸. Python API, 웹 애플리케이션, 데이터 파이프라인 개발 또는 테스트 작성 시 사용.
Write comprehensive unit tests for code. Use when asked to (1) write tests for new or existing code, (2) add unit tests, (3) test a function/module/class, (4) verify code still works after changes, (5) create t...
执行测试驱动开发的红-绿-重构循环,包含原子提交规范。用于 Python/FastAPI 项目开发。
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Use when adding tests and regression checks for Python research code.
Production-grade pytest test builder for FastAPI applications with SQLModel. This skill should be used when writing tests for API endpoints, business logic, database operations, or any Python code requiring com...
Python unit testing patterns for pytest, including test file structure, fixtures, mocks, and coverage strategy. Use when asked to write tests (unit/integration) for any Python module, function, class, or method...
Best practices for writing Python tests - use when creating or improving test coverage
Auto-generates Python step definition stubs from Gherkin feature files for BDD testing with Behave. Uses Behave's parser for accurate Gherkin parsing, intelligently infers parameter types, detects existing step...
Systematic identification of race conditions, concurrency bugs, and thread-safety issues across codebases. Use when asked to find race conditions, audit concurrent code, debug non-deterministic behavior, review...
Automatically generates comprehensive unit tests for Python, TypeScript, and JavaScript codebases. Analyzes function signatures, docstrings, and implementation patterns to produce tests covering happy paths, ed...
Python testing with pytest framework for unit, integration, and API tests. Use when: (1) Writing test cases for Python code, (2) Setting up pytest fixtures, (3) Testing async functions with pytest-asyncio, (4)...
Python testing with pytest framework. This skill should be used when user asks to write tests, create test files, run tests, fix failing tests, add test coverage, set up fixtures, mock dependencies, or do any t...
Comprehensive Python testing skill using pytest framework. Use when writing, running, or debugging Python tests, creating fixtures, parametrizing tests, mocking dependencies, measuring coverage, or any pytest-r...
Comprehensive pytest testing skill for Python projects with specialized FastAPI support. Use when: (1) User wants to generate test files for existing code, (2) User asks about pytest patterns, best practices, f...
Test script creation and execution for Python modules, focusing on functional testing, unit testing, and integration testing. Use when creating test scripts for software modules, running tests to verify functio...
Generate and run unit and integration tests using pytest (Python) or Jest (JavaScript) with fixtures, mocks, and async support. Use for test-driven development, code review validation, coverage verification, an...
Type hints, dataclasses, async patterns, testing with pytest, and modern Python tooling
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。