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分类目录: documentation testing

显示第 169–185 个,共 185 个

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GitHub

pytest-async-testing

dawiddutoit

Complete patterns for testing async Python code with pytest: pytest-asyncio configuration, AsyncMock usage, async fixtures, testing FastAPI with AsyncClient, testing Kafka async producers/consumers, event loop...

GitHub

setup-pytest-fixtures

dawiddutoit

Create pytest fixtures following project patterns including factory fixtures, async fixtures, and multi-layer organization. Use when setting up test fixtures, creating test data, organizing test utilities, or s...

GitHub

test-debug-failures

dawiddutoit

Evidence-based test debugging enforcing systematic root cause analysis. Use when tests are failing, pytest errors occur, test suite not passing, debugging test failures, or fixing broken tests. Prevents assumpt...

GitHub

quality-verify-implementation-complete

dawiddutoit

Verifies that implemented code is actually integrated into the system and executes at runtime, preventing "done but not integrated" failures. Use when marking features complete, before moving ADRs to completed...

GitHub

test-setup-async

dawiddutoit

Set up async tests with proper fixtures and mocks using pytest-asyncio patterns. Use when testing async functions, creating async fixtures, mocking async services, or handling async context managers. Covers @py...

GitHub

test-implement-constructor-validation

dawiddutoit

Auto-generate constructor validation tests from service class signatures. Use when creating tests for new services, validating fail-fast principle, ensuring constructor validation, or testing required parameter...

GitHub

test-generator

kongliuli

C#/Python测试生成器技能:负责单元测试骨架生成、Mock对象创建、测试数据构造、边界条件覆盖、测试项目结构管理。使用时需要生成测试骨架、创建Mock对象、构造测试数据、覆盖边界条件、管理测试项目结构。

GitHub

test-property-based

dawiddutoit

Property-based testing with Hypothesis for Python projects. Use when writing property tests, testing invariants, generating test cases, fuzz testing, roundtrip testing, or validating behavior across many inputs...

GitHub

test-assertions

Luscii

Write effective test assertions with clear error messages, null safety, and proper validation. Use when asked to "write assertions", "validate test results", "check conditions", "test expectations", or when wri...

GitHub

test-creator

Tomodo1773

**[src/api専用]** バックエンド(Python/FastAPI)のテストコードを作成する際に使用します。 ユニットテスト、統合テスト、エンドツーエンドテストなど、あらゆる種類のテストコードを生成するためにこのスキルを利用してく...

GitHub

test-mocking

Luscii

Use mocking and test doubles to isolate code under test from external dependencies. Use when asked to "mock dependencies", "create test doubles", "isolate tests", "avoid external calls", or when testing code th...

GitHub

test-organization-patterns

Luscii

Organize tests into maintainable structures with helper modules, clear patterns, and quality standards. Use when asked to "organize tests", "structure test suite", "create test helpers", or when building compre...

GitHub

code-validation-sandbox

92Bilal26

Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.

GitHub

python-testing

ikatechis

Generate pytest tests with parametrization, shared fixtures, minimal mocking. Use for unit tests and test coverage. Follows 1-1 file mapping and real object testing.

GitHub

pytest

BrunoAlan

Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers).

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