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Run TVM's TIRx compiler tests alongside tirx-kernels import and correctness checks. It verifies the local build, selects GPUs, runs parallel tests, saves full logs, and guides failure investigation and result reporting.
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Develop and verify changes to Apache Beam's Python SDK. Set up a virtual environment, run tests, build installable packages or containers, and run data processing pipelines with the modified SDK.
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Develop and troubleshoot Apache Beam's YAML SDK. Understand its source files, run data processing pipelines locally or on Dataflow, test changes, and investigate provider issues or mismatched record fields.
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Generate comprehensive pytest tests - use when generating tests, creating test suites, or testing Python code
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Generate pytest test cases for Python functions and classes
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Python testing patterns with pytest, fixtures, TDD, mocking, async and integration tests. Use when writing or auditing a Python test suite.
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Write effective unit tests with Jest, Vitest, or pytest. Covers the test-doubles taxonomy (stub/spy/mock/fake), Arrange-Act-Assert, coverage threshold configuration and CI gating, snapshot testing, fake timers, and mutation testing with Stryker/mutmut. Use when: "unit test," "Jest," "Vitest," "pytest," "mock," "coverage threshold," "test doubles," "mutation testing," "fake timers," "snapshot test." Not for: interpreting coverage reports or finding coverage gaps — use coverage-analysis; AI generating the test code for you — use ai-test-generation; auditing existing tests for smells — use ai-qa-review; browser/component rendering assertions — use cypress-automation or visual-testing. Related: coverage-analysis, ci-cd-integration, ai-test-generation, shift-left-testing.
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运行 pytest + 结构化分析失败原因。触发：运行测试、跑测试、run test、pytest、失败分析、allure。
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Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture usage, or mock patterns.
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Analyze specific pytest failures using authoritative contracts and a cited product/test evidence chain. Use for failing test names or pytest output, distinguishing product, interface, oracle, and harness defects without automatically changing expectations or forcing an architectural redesign.
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Use when implementing a Python feature, adding CLI commands, writing pytest suites, reviewing Python code, debugging, or refactoring. The primary Python engineering workflow orchestrator — classifies the task and delegates through this plugin's own specialist agents (architect → implement → test → review), sized to the task. Delegates to python-cli-architect (implementation), python-pytest-architect (tests), code-reviewer (review), python-cli-design-spec (architecture). Triggers on any Python task requiring specialist agent coordination or multi-agent execution.
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Add controlled retries to pytest runs so agents can contain flaky tests and report final failures without rerunning whole suites by hand.
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Modern Python tooling best practices using uv, ruff, ty, and pytest. Mandates the Trail of Bits Python coding standards for project setup, dependency management, linting, type checking, and testing. Based on patterns from trailofbits/cookiecutter-python.
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Aims for high test coverage using pytest, testing both common and edge cases.
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Use when testing PyQt/PySide6 applications with pytest-qt - qtbot fixture, signal/wait patterns, mouse/keyboard simulation, dialog testing, model/view testing, threaded code testing, or manual debugging techniques
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Auto-activate for pytest_databases, Docker DB fixtures, PostgreSQL/pgvector/ParadeDB, MySQL/MariaDB, Oracle/SQL Server, CockroachDB, MongoDB, Redis/Valkey, BigQuery/Spanner, MinIO, or RustFS. Not for mocked DBs.
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テスト実行時の絞り込み運用ルール。プロジェクト全体テストではなく修正範囲に絞ったテスト実行を行う。`gradlew test`/`pytest`/`jest`/`go test`等のテストランナーを実行するとき、テスト実行コマンドを組み立てるときに必ず参照する。コミット差分や修正ファイルから対象テストを特定する手順を含む。
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Generate Python/pytest unit test skeletons from specifications.
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pytest、フィクスチャ、モッキング、テスト駆動開発を使用した包括的なテスト戦略を実装。Pythonテストの記述、テストスイートのセットアップ、テストベストプラクティスの実装時に使用。
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pytest、TDD方法論、フィクスチャ、モック、パラメタライズ、カバレッジ要件を使用したPythonテスト戦略。
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pytest-djangoによるDjangoテスト戦略、TDD方法論、factory_boy、モック、カバレッジ、Django REST Framework APIのテスト。
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Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.
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Build end-to-end tests that operate Windows desktop apps through pywinauto and Windows UI Automation, an interface for accessing screen controls. Covers stable element selection, waits, failure screenshots, test isolation, and CI setup for native applications.
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Diagnose REST and GraphQL API failures by checking connectivity, authentication, request formats, and returned data. Prepare reproducible commands, identify likely causes, and build regression tests that check whether a fix keeps working.
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