Skills matching the name, description or GitHub author.
Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to...
Complete Python testing system. PROACTIVELY activate for: (1) pytest fundamentals, (2) Fixtures and scopes, (3) Parameterized tests, (4) Mocking with pytest-mock, (5) Async testing with pytest-asyncio, (6) Cove...
Setup pytest with coverage reporting and watch mode for this Python project
pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask
Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking. Language-agnostic principles with TypeScript/Jest and Python/pytest examples.
Write and organize tests for scientific Python packages using pytest following Scientific Python community best practices. Use when setting up test suites, writing unit tests, integration tests, testing numeric...
Implement semantic theories and Python/Z3 code with TDD. Invoke for Python-language implementation tasks.
This SOP evaluates a completed brazil-bench attempt against the spec.md requirements, capturing metrics for comparison across orchestration patterns. Supports Python and Swift/iOS projects.
This sop guides the implementation of code tasks using test-driven development principles, following a structured Explore, Plan, Code, Commit workflow. It balances automation with user collaboration while adher...
Mutation testing patterns for Python using mutmut. Use when analyzing Python code to find weak or missing tests, verifying pytest effectiveness, strengthening Python test suites, or validating TDD workflows in...
Review code for bugs, security vulnerabilities, performance issues, accessibility gaps, and CLAUDE.md workflow compliance. Supports any tech stack - HTML/CSS/JS, React, TypeScript, Node.js, Python, NestJS, Next...
Execute and generate pytest tests for Python projects with fixtures, parametrization, and mocking support
Python testing patterns and best practices using pytest, mocking, and property-based testing. Use when writing unit tests, integration tests, or implementing test-driven development in Python projects.
Use this skill when you need to compile CPython, run tests, verify your changes work, check if a fix is correct, or debug test failures. Covers building from source with ./configure and make, ccache for faster...
Use rut test runner instead of pytest for running Python unittest tests.
Validate test effectiveness with mutation testing using Stryker (TypeScript/JavaScript) and mutmut (Python). Find weak tests that pass despite code mutations. Use when user mentions mutation testing, Stryker, m...
Property-based testing with fast-check (TypeScript/JavaScript) and Hypothesis (Python). Generate test cases automatically, find edge cases, and test mathematical properties. Use when user mentions property-base...
HTTP API testing for TypeScript (Supertest) and Python (httpx, pytest). Covers REST APIs, GraphQL, request/response validation, authentication, and error handling. Use when user mentions API testing, Supertest,...
Python testing with pytest, coverage, fixtures, parametrization, and mocking. Covers test organization, conftest.py, markers, async testing, and TDD workflows. Use when user mentions pytest, unit tests, test co...
Browser automation with Playwright for Python. Use when testing websites, taking screenshots, filling forms, scraping web content, or automating browser interactions. Triggers on browser, web testing, screensho...
Expert agent for writing and maintaining tests for Keboola Python components. Specializes in datadir tests, unit tests, and integration tests with proper mocking and assertions.
Python-specific testing practices with pytest, fixtures, mocking, async testing, coverage configuration, and uv execution rules. Activate when working with pytest files, conftest.py, test directories, pyproject...
Run isolated test environments for backend changes, manage test data, and verify API endpoints. Use when testing Python backend changes without interfering with production instances.
Comprehensive guide for writing and running pytest tests in Python projects. Use when (1) Setting up pytest for a new project, (2) Writing test files and test cases, (3) Using fixtures, mocks, and parametrizati...
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