83,201 skills sorted by stars.
Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Us...
Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file h...
Ensure Python code follows industry standards using Ruff linter with linting-workflow framework
Use ruff to lint, format, and modernize Python code. Activate when: (1) Fixing PEP 8 violations, (2) Removing unused imp...
Use when building or reviewing service, job, or CLI runtime behavior in Python — designing startup validation, shutdown...
Add Python VS Code workspace config to a project. Composable — works standalone or merges into existing .vscode/ from a...
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authen...
Simplify overly complex Python code. Use when user asks to simplify, refactor, clean up, make more readable, reduce comp...
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
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Python code quality standards (PEP 8, type hints, docstrings). Use when writing Python code.
Python coding style enforcement (PEP standards, type hints, docstrings, modern patterns). Auto-loads when writing or rev...
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
Write and organize tests for scientific Python packages using pytest following Scientific Python community best practice...
Python testing patterns: pytest setup, fixtures, TDD, mocking, async tests, and integration tests
Write and run Python tests using pytest with fixtures, mocking, coverage, and the AAA pattern. Use when writing Python t...
Use when writing or reviewing tests for Python behavior, contracts, async lifecycles, or reliability paths. Also use whe...
pytest testing policies for Python projects. Use when writing or reviewing Python test code. Do NOT use for application...
使用pytest的Python测试策略,包括TDD方法、夹具、模拟、参数化和覆盖率要求。
This skill should be used when writing or reviewing Python tests. It enforces a dummy-class pattern over unittest.mock,...
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing...
Python testing patterns and best practices using pytest, mocking, and property-based testing. Use when writing unit test...
Guide pytest patterns and testing strategies when the user asks about Python testing, fixtures, mocking, or test organiz...