Results for “asyncio”

Async Python Patterns workflow skill. Use this skill when the user needs Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

The English summary is being prepared. Showing the original description.

Async Python Patterns workflow skill. Use this skill when the user needs Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

The English summary is being prepared. Showing the original description.

Testing patterns for FastAPI with pytest-asyncio, httpx AsyncClient, fixtures, and test data factories. Use when writing tests, setting up test infrastructure, or improving coverage in a FastAPI project.

The English summary is being prepared. Showing the original description.

Send, read, and respond to Telegram messages as Claudicle via the @claudicle_bot Bot API. Use this skill when sending Telegram messages (text, Markdown, inline keyboards), building approval gates with tappable buttons, checking the shared inbox for unhandled Telegram messages, answering callback queries, managing Telegram memory context, or checking bot and listener status. Five purpose-built scripts (send, check, status, callback, memory) wrap the python-telegram-bot v22 polling adapter at ~/.claudicle/adapters/telegram/ with REST-based senders (no asyncio). Pairs with /telegram-respond for the cognitive pipeline and with mazkir-callback-watcher.py for the Mazkir approval gate.

The English summary is being prepared. Showing the original description.

Use when writing Python tests with pytest - fixtures, parametrization, markers, conftest layout, pytest-asyncio, pytest-django, coverage with pytest-cov, mocking with pytest-mock, parallel runs with xdist, mutation testing with mutmut, or CI integration

The English summary is being prepared. Showing the original description.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

The English summary is being prepared. Showing the original description.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

The English summary is being prepared. Showing the original description.

When writing Python asyncio code — picking between gather / TaskGroup / wait, structured concurrency, timeouts, cancellation, sync-bridging — decision framework only, cookbook externalized.

The English summary is being prepared. Showing the original description.

Orientação abrangente para implementar aplicações Python assincronous usando asyncio, padrões de programação concorrente e async/await para construir sistemas de alto desempenho e não bloqueantes.

The English summary is being prepared. Showing the original description.

Idiomatic programming style, patterns, and conventions for Python development. Trigger when: - Writing, refactoring, reviewing, or debugging Python code. - Files matching the pattern **/*.py (including requirements.txt, pyproject.toml, setup.py) are in the workspace or referenced. - Tasks involve: python, pytest, pip, uv, virtualenv, flake8, black, mypy. - Prompt contains keywords: python, py, pep8, typing, list comprehension, decorator, generator, asyncio, yield, poetry.

The English summary is being prepared. Showing the original description.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

The English summary is being prepared. Showing the original description.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

The English summary is being prepared. Showing the original description.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

The English summary is being prepared. Showing the original description.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-...

The English summary is being prepared. Showing the original description.

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

The English summary is being prepared. Showing the original description.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

The English summary is being prepared. Showing the original description.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

The English summary is being prepared. Showing the original description.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

The English summary is being prepared. Showing the original description.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

The English summary is being prepared. Showing the original description.

CCXT cryptocurrency exchange library for Python developers. Covers both REST API (standard) and WebSocket API (real-time). Helps install CCXT, connect to exchanges, fetch market data, place orders, stream live tickers/orderbooks, handle authentication, and manage errors in Python. Use when working with crypto exchanges in Python projects, trading bots, data analysis, or portfolio management. Supports both sync and async (asyncio) usage.

The English summary is being prepared. Showing the original description.