В каталоге 183 730 навыков в 14 категориях.
Run pytest tests with coverage, discover lines missing coverage, and increase coverage on critical gaps. In this repo al...
Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.
Runs pytest with coverage, finds the lines missing coverage with annotated reports, and adds tests until coverage reache...
Auto-activate for pytest_databases, Docker DB fixtures, PostgreSQL/pgvector/ParadeDB, MySQL/MariaDB, Oracle/SQL Server,...
World-class pytest engineer for Python: write/refactor tests, fix flakiness, design fixtures/markers, add coverage, spee...
Generate standardized pytest configuration with fixtures, markers, and coverage settings. Creates conftest.py and pytest...
Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test...
ML-specific testing skill using pytest with fixtures for data, models, and predictions.
Guide for using pytest-mock plugin to write tests with mocking. Use when writing pytest tests that need mocking, patchin...
Master mocking strategy for pytest: when to use autospec=True vs manual mocks, AsyncMock patterns for async code, mock b...
pytest best practices for writing comprehensive test suites. Use when writing or running Python tests, setting up test f...
Pytest is a powerful testing framework that emphasizes modularity via fixtures and scalability via parametrization. It s...
Automatically applies when writing pytest tests. Ensures proper use of fixtures, parametrize, marks, mocking, async test...
Use when pytest plugin ecosystem including pytest-cov, pytest-mock, and custom plugin development.
Comprehensive pytest testing skill for Python projects. Write efficient, maintainable tests with fixtures, parametrizati...
Write pytests that test real public interfaces with actual components, no mocking, and precise assertions. MIRA-specific...
Work with pytest-recording (VCR.py) for recording and replaying HTTP interactions in tests. Use when writing VCR tests,...
Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test au...
Generates production-grade pytest tests in Python with fixtures, parametrize, markers, mocking, and conftest patterns. U...
Execute and generate pytest tests for Python projects with fixtures, parametrization, and mocking support
Generate pytest test templates for UTXOracle modules following TDD patterns. Automatically creates RED phase tests with...
Scaffolds pytest unit tests for Python backend functions and classes. Use when creating tests for FastAPI endpoints, ser...
Apply pytest best practices and project testing conventions. Use when writing or modifying tests.
pytest testing patterns for any Python project: test structure, fixtures, parametrize, conftest.py, monkeypatch, tmp_pat...
Guide for writing pytest tests following this project's patterns including fixtures, mocking, and test organization.
Async testing with pytest, pytest-asyncio, httpx, fixtures, coverage reports, and test-first development. Use when writi...
Diagnoses failing pytest runs from the output the user pastes or the last local run. Use when tests fail and the cause i...
Create comprehensive Python test suites with pytest. Supports unit, integration, e2e, and user flow tests. Dual-mode tes...
Complete guide for Pyth Network - decentralized oracle providing real-time price feeds for DeFi. Covers price feed integ...
Python skill router. Use when planning, implementing, or reviewing Python changes and you need to select focused skills...
Apply these opinionated Python 3.11+ conventions when writing Python in this codebase: type hints with mypy, async/await...
Python development with ruff, mypy, pytest - TDD and type safety
This skill should be used every time you work on Python projects or Python code changes in this repository.
Python coding rules and references for common development workflows.
Develops Python 3.11+ backend services for Bookkeep using FastAPI, SQLAlchemy, and async patterns. Use when: writing rou...
Python: typing everywhere, async vs sync, Pydantic v2, protocols/composition, packaging with pyproject/uv, pytest, lint/...
Write production-ready Python code following modern best practices. Use when building Python applications, adding type h...
Write Python code following best practices. Use when developing Python applications. Covers type hints, async, and moder...
Use when writing or debugging non-trivial Python — async pitfalls, type system patterns, dataclass vs Pydantic decisions...
Python engineering guidance for type hints, pydantic validation, httpx usage, pytest conventions, pyproject structure, a...
Python programming patterns and best practices
Applies senior Python rules for typing, async, APIs, persistence, tests, packaging, and architecture.
Expert in Python development with best practices across web, data science, and automation
Skill for the Python area of iVista-Client-Application. 21 symbols across 3 files.
Build, review, and refactor Python backend services. Use for tasks like FastAPI/Flask service setup, API design, request...
Python best practices, type hints, async programming, packaging, virtual environments, and production patterns
Use when writing, reviewing, or modernizing Python 3.11+ code. Produces fully type-annotated modules, async I/O, datacla...
Idiomatic programming style, patterns, and conventions for Python development. Trigger when: - Writing, refactoring, rev...
Python 3.11+ performance optimization guidelines (formerly python-311). This skill should be used when writing, reviewin...
Modern Python coding standards using uv — full type annotations, Pydantic v2 runtime validation, Ruff linting/formatting...
Language-specific super-code guidelines for python.
Apply when writing Python code. Type hints, error handling, mutable defaults, async patterns, and packaging conventions.
Use when writing Python command-line tools, automation scripts, data pipelines, small web dashboards or machine-learning...
Python language conventions, modern idioms, and toolchain. Invoke whenever task involves any interaction with Python cod...
Write reliable Python avoiding mutable defaults, import traps, and common runtime surprises.
Comprehensive Python unittest skill covering TestCase patterns, assertion methods, mocking with unittest.mock, subtests,...
---name: pandas-best-practices
Modern Python 3.13 development patterns and syntax including async/await, pattern matching, and modern type annotations....
Advanced Python profiling with cProfile, py-spy, and optimization techniques including Python 3.13 features. PROACTIVELY...
Python Agent 开发规范（Windows wxauto v4），包括项目结构、模块化、wxauto 使用、IPC 集成、错误处理、测试和部署。
Comprehensive Python AI/ML development expert with 10+ years experience using UV package manager. Covers PyTorch, Tensor...
Expert guidance for Python AI development fundamentals, essential libraries, data structures, async programming, and bes...
Python data analysis with pandas, numpy, and analytics libraries
Format and analyze Python code using ruff (formatting/linting) and ty (static type checking). Use when the user asks to...
Common Python anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when...
Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, bef...
Enforce production-quality Python code standards. Prevents generic AI patterns through PEP 8 compliance, type hints, and...
Professional Python API Expert skill. Build performant, secure, and scalable backend logic and RESTful or GraphQL APIs.
Implement REST APIs with FastAPI including endpoints, Pydantic models, validation, dependency injection, and error handl...
Use this for the Python-specific realization of the api-ergonomics-audit checklist — `async with Client(...)` quickstart...
Application and library conventions for plain Python projects (no web framework): src/ package layout, CLI tooling (argp...
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "...
Python 3.14 enterprise standards — modern typing (PEP 649), immutable dataclasses, Protocol-based DI, asyncio discipline...
Python architecture patterns including KISS, SRP, separation of concerns, composition over inheritance, dependency injec...
Use when planning, implementing, or reviewing code for any Python project — designing architecture, writing classes or f...
Expert-level architecture review and design guidance for Python backends, with deep knowledge of FastAPI, PostgreSQL, as...
Comprehensive design architecture review for Python backend applications. Use this skill when users ask you to review, a...
Expert assistance with the Atomic Simulation Environment (ASE) Python library for atomistic simulations, including struc...
asyncio and async/await patterns for Python applications.
Asyncio is a concurrency model designed for IO-bound and high-level structured network code. It uses cooperative multita...
Python asyncio — TaskGroup(구조적 동시성), aiohttp, 커넥션 풀, 동기화 primitive, uvloop, 비동기 에러 처리·디버깅. Use when Python 코드를 async 로 작...
Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, Ta...
Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurr...
Use this when adding a Python SDK client class that holds long-lived async resources, reviewing code that discards an as...
Use this when writing async I/O methods, fan-out work, background workers, or bridging blocking code into a Python SDK c...
Use when fixing a Python test that has failed multiple attempts, when print-debugging hasn't revealed the issue, or when...
Python backend developer for FastAPI, Django, and Flask. Use when building Python APIs, REST endpoints, or data processi...
Complete FastAPI production system. PROACTIVELY activate for: (1) Project structure (scalable layout), (2) Pydantic sche...
Python backend specialist focused on API development, WebSocket implementations, and server-side architecture. Use for F...
This skill should be used when the user is writing, reviewing, debugging, or architecting Python backend code using Lite...
Python backend expert including Django, FastAPI, Flask, SQLAlchemy, and async patterns
명시적 `/python-backend-fastapi` 호출 전용 FastAPI 참고서. 일반 Python 백엔드 작성·리뷰에는 자동 적용하지 않는다.
OpenTelemetry instrumentation for Python backend services
Review Python backend repositories at the foundation layer for target Python version compatibility, Python implementatio...
Organize backend Python code cleanly for FastAPI projects. This skill should be used when setting up initial backend dir...
Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing asyn...
Use this when designing fan-out methods that publish downstream, reviewing unbounded list/queue buffers, sizing producer...
Provides Python patterns for type-first development with dataclasses, discriminated unions, NewType, and Protocol. Must...
Python 코딩 표준 및 스타일 가이드. 타입 힌트, import 정렬, 예외 처리 등.