GitHub
legacy-code-reviewer
Expert system for identifying deprecated patterns, suggesting refactoring to modern standards (Python 3.12+, ES2024+), checking test coverage, and leveraging AI-powered tools. Proactively applied when users req...
Résultats pour « Python »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: data ai testing
Explorer
GitHub
testing
Help write and organize tests for Python projects. Use PROACTIVELY when new code is written. Keywords: test, testing, pytest, テスト
GitHub
python-testing
Use when writing pytest tests, creating fixtures, mocking dependencies, or testing async code - provides patterns that verify actual behavior with proper fixtures and parametrization; prevents testing mocks ins...
GitHub
backend-python-testing
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development for FastAPI applications. Use when writing Python tests, setting up test suites, or implementing testing be...
GitHub
python-test-micrometer-testing-metrics
Test custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles an...
GitHub
pytest-async-testing
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
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
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
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
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
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
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
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
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
**[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
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
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
python-testing
Testing strategies, pytest patterns, fixtures, mocking, coverage
GitHub
code-validation-sandbox
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
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
write-tests
Use this skill to write unit tests for Python code using pytest.
GitHub
pytest
Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers).
GitHub
pytest-advanced
Advanced Python testing with pytest including fixtures, parametrization, mocking, markers, and plugins. Test async code, APIs, and databases. Use for Python testing, test automation, or CI/CD pipelines.
GitHub
python-test-strategy
Enforces Dave Farley–style fast feedback by defining Python unit, adapter, contract, and acceptance testing playbooks; use when planning or diagnosing tests.
Catégories populaires
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.