Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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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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See how to installReview the instructions the agent will receive before you install.
Testing standards for pytest configuration, fixture management, and TDD implementation.
pip install pytest pytest-cov pytest-asyncio pytest-mockpyproject.toml:
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "--cov=src"
pytest to confirm discovery of files matching test_*.py.pytest-mock or custom monkeypatching.pytest-asyncio markers and event loop management.This skill uses modular loading to manage the system prompt budget.
modules/unit-testing.md - AAA (Arrange-Act-Assert) pattern, basic test structure, and exception validation.modules/fixtures-and-mocking.md - Request-scoped fixtures, parameterization, and boundary mocking.modules/async-testing.md - Coroutine testing, async fixtures, and concurrency validation.modules/test-infrastructure.md - Directory standards, conftest.py management, and coverage tools.modules/testing-workflows.md - Local execution patterns and GitHub Actions integration.modules/test-quality.md - Identification of common anti-patterns like broad exception catching or shared state between tests.test_*.py pattern. Use pytest --collect-only to debug discovery paths.pip install -e ..pytest-asyncio is installed and that async tests use the @pytest.mark.asyncio decorator or corresponding auto-mode configuration.No reviews yet. Tell others what you thought.
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
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