Results for “async-processing”

Follow best practices for asynchronous programming in C#, including naming, return types, exception handling, performance, and common pitfalls.

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.

Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns

Best practices and patterns for C# async/await programming including Task and ValueTask usage, CancellationToken propagation, IAsyncDisposable and await using, ConfigureAwait, async streams (IAsyncEnumerable), parallel task execution, and common pitfalls like deadlocks and async void. Use this skill whenever writing, reviewing, or refactoring asynchronous C# code — including when the user mentions async methods, Task-returning APIs, cancellation, deadlocks, blocking on async code, or resource disposal in async contexts, even if they do not explicitly say "async best practices."

Get best practices for C# async programming

Design, implement, and debug Python asyncio and concurrent code with structured concurrency, bounded parallelism, cancellation safety, timeouts, cleanup, and clear error propagation. Use for async workflows, task orchestration, or choosing among concurrency models.

Implement concurrency and non-blocking I/O in modern PHP. Use when implementing concurrent requests, async processing, or non-blocking I/O in PHP.

Write, review, debug, or test Python asyncio code involving coroutines, Tasks, TaskGroups, cancellation, timeouts, queues, synchronization, and blocking-call boundaries.

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2, covering microservices, WebSockets, and modern Python async patterns.

Call APIs, load data into components, and handle the async lifecycle in Blazor.

Turn "block until condition X is met" into an agent wake-up via the bash_async tool. Use when you need to wait for a one-shot event without burning context — a webhook arriving, a CI pipeline finishing, a file appearing, a long shell command completing — AND you want this conversation to resume with full context when the event fires. Distinct from pollers (recurring) and the synchronous Bash tool (blocks the turn). The completion event lands as a fresh turn on the spawning channel; no polling needed.

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling, chaining, and parallel execution.

Async data-fetching patterns — Fetch vs Axios, service-layer organisation, AbortController cancellation, and integration with Redux Toolkit's createAsyncThunk for pending/fulfilled/rejected state transitions. Use when writing or reviewing HTTP call sites, standardising loading/error handling, or wiring request cancellation in effects.

Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

Build high-performance async Python APIs with FastAPI and Pydantic V2, including REST endpoints, authentication, async database operations, and WebSocket support.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Test Python services with pytest, async coverage, monkeypatch, and boundary-focused fakes. Use when writing Python tests, fixtures, async tests, regression tests, or dependency-isolated verification.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

从一份或多份现有配置抽取可审阅的 agent-config.yaml，并跨 Windows、Linux、macOS 与 WSL 声明式同步 Codex ~/.codex/config.toml 和 Claude Code ~/.claude/settings.json。用于导入、去重、解决冲突、剔除配置项、初始化、检测、校验、渲染、预览差异、应用、检查状态或诊断；不用于凭据、登录状态、项目级配置、~/.claude.json、skills、agents、hooks 或 MCP 配置。

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch blocks with composable error handling and real API examples.

Almost every downstream bug traces back to an index that was assumed regular and

Use when implementing fastapi functionality with production-grade patterns and safeguards.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling and real API examples.

Distributed task queue system for Python enabling asynchronous execution of background jobs, scheduled tasks, and workflows across multiple workers with Django, Flask, and FastAPI integration.

Syncs App Store metadata with App Store Connect using the canonical asc metadata workflow, including pull, validate, preview, and apply steps for app-info and version localization fields.

Configure async api caller operations. Auto-activating skill for API Integration. Triggers on: async api caller, async api caller Part of the API Integration skill category. Use when working with APIs or building integrations. Trigger with phrases like "async api caller", "async caller", "async".

Process large-scale ML datasets with distributed streaming execution across CPU/GPU, supporting Parquet, CSV, JSON, images, and integration with PyTorch, TensorFlow, and Ray Train.

Reconcile this session's code delta back into the Living Blueprint and per-folder intent layer so they stay an accurate snapshot of the codebase. Mostly descriptive (what the code now is), not rules. Pure producer — edits files only, never commits or opens a PR.

Generates type-safe, async-first Python 3.11+ code with full type annotations, mypy strict mode, pytest test suites, and validation via black and ruff.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples