'async' 검색 결과

Build Python applications that keep other tasks moving while waiting for network, file, or database operations. The skill guides asyncio patterns, task cancellation, timeouts, workload limits, and testing for asynchronous APIs, scrapers, and background processing.

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• Building asynchronous web APIs
• Sending concurrent requests in web scrapers
• Designing background tasks and queues

Review C# asynchronous code and get suggestions for method names, return types, exception handling, concurrent tasks, and cancellation. Identify blocking calls and missing awaits, and choose patterns for long operations or sequences processed asynchronously.

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• Reviewing async/await usage
• Finding blocking calls and missing awaits
• Planning concurrent tasks and cancellation

Automate Async Interview operations through Rube MCP and Composio. The skill finds available tools, checks the service connection, and uses current input requirements to carry out supported tasks within a shared workflow session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding tools for an Async Interview task
• Checking the Async Interview connection before execution
• Running multiple supported operations together

Build Python applications that keep other tasks moving while waiting for network, database, or file operations. Guides the choice of asyncio patterns, with timeouts, cancellation, error handling, and testing for asynchronous code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an asynchronous web API
• Fetch multiple web pages concurrently
• Develop a WebSocket server or chat system

Automate Async Interview operations through Rube MCP and Composio. The skill finds available tools, checks the service connection, and uses current input requirements to carry out supported tasks within a shared workflow session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding tools for an Async Interview task
• Checking the Async Interview connection before execution
• Running multiple supported operations together

Build and debug asynchronous Rust applications with Tokio, a runtime for scheduling work while operations wait. Apply patterns for task management, channels, error handling, cancellation, and concurrency limits when developing network services and other concurrent systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build asynchronous network services
• Manage tasks and channel communication
• Design error handling and cancellation

Build Python applications that handle other work while waiting for network or database operations. Use asyncio and async/await to run tasks concurrently, manage errors and timeouts, and handle cancellation with appropriate cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building web APIs that handle many simultaneous requests
• Fetching data from multiple sources concurrently
• Implementing WebSocket servers and chat systems

Refactor JavaScript using ES6+ features to make code easier to read and maintain. Covers asynchronous operations with async/await, modules, and functional patterns that transform data without changing the original values.

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• Refactoring legacy JavaScript
• Migrating callbacks to async/await
• Building data transformation pipelines

Use when writing asyncio Python code — async/await coroutines, concurrent I/O with asyncio.gather, task creation and cancellation, semaphore rate limiting, producer-consumer queues, async context managers, async generators, WebSocket servers, aiohttp web scraping, async database operations, run_in_executor for blocking calls, or testing async code with pytest-asyncio. Covers FastAPI and aiohttp patterns, synchronization primitives, timeout handling, and common pitfalls like event loop blocking and missing await.

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FastAPI-specific delta on top of python-foundation:sqlalchemy-patterns: async engine and AsyncSession lifecycle, get_db dependency injection, async-safe lazy loading rules, async Alembic env.py wiring. Used by fastapi-architect (model definitions) and alembic-specialist (column type finalization and migration generation). Activated automatically by fastapi-plugin/stack.md. Use this skill to: - Manage async database sessions with AsyncSession and async_sessionmaker. - Inject sessions into routes via the get_db() dependency. - Apply async-safe lazy loading (lazy="selectin" or "raise"; never sync lazy loads). - Integrate async Alembic env.py for migration autogeneration. Do NOT use this skill for: - Framework-agnostic model, column, relationship, and querying rules — see python-foundation:sqlalchemy-patterns (load it first). - FastAPI routing and Pydantic schemas — see fastapi-plugin:fastapi-conventions. - Alembic migration execution (that's alembic-specialist's job) — this skill covers definitions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review how a web page loads scripts and identify tags that interrupt HTML parsing. Get guidance on choosing defer, async, or type=module, with checks focused on the HTML actually delivered to the browser.

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• Checking script tags that delay page rendering
• Choosing between defer, async, and type=module
• Reviewing HTML generated by shared components

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build Apple platform applications with Swift, including SwiftUI screens and state management. Design reusable interfaces with protocols, implement asynchronous tasks, protect shared data with actors, and check code through builds, performance profiling, and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building SwiftUI screens and state management
• Fixing concurrency issues with async/await and actors
• Designing protocol-based application architecture

Build, debug, and refactor JavaScript applications for browsers and Node.js. Covers asynchronous tasks with async/await, module organization, performance checks, and test creation, with explicit error handling and modern ES2023+ syntax.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a vanilla JavaScript application
• Fix errors in asynchronous API requests
• Organize code into ESM modules

Answer Python questions and write code using examples fetched from pythonsheets.com. Find patterns for syntax, asynchronous tasks, networking, databases, machine learning, and distributed computing, or use topic-based questions to prepare for Python interviews.

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• Preparing for Python interviews
• Learning asyncio through examples
• Writing a socket server

Persist player data in Roblox with DataStoreService: GetDataStore, GetAsync/ SetAsync/UpdateAsync/IncrementAsync wrapped in pcall, load-on-join and save-on-leave plus BindToClose, retries, and OrderedDataStore leaderboards. Use when saving or loading persistent data in a Roblox experience — when the user mentions DataStore, DataStoreService, GetAsync, SetAsync, UpdateAsync, save player data, or leaderboards. For general Luau scripting use roblox-luau.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Async Python patterns via asyncio and aiohttp for I/O-bound concurrency. Use when adding async APIs, handling concurrent I/O, or debugging async code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Neo4j .NET Driver v6 — IDriver lifecycle, DI registration (singleton), ExecutableQuery fluent API, ExecuteReadAsync/ExecuteWriteAsync managed transactions, IResultCursor (FetchAsync/ ToListAsync), record value access (.Get<T>/As<T>), null safety, UNWIND batching, temporal types, await using, EagerResult, object mapping, CancellationToken, error handling, and common traps. Use when writing C# or .NET code connecting to Neo4j. Also triggers on Neo4j.Driver, IDriver, ExecutableQuery, ExecuteReadAsync, ExecuteWriteAsync, IResultCursor, IAsyncSession, or any Bolt/Aura work in .NET/C#. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver version upgrades — use neo4j-migration-skill.

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Write, review, and refactor C# and .NET code using practical conventions for asynchronous work, configuration, and dependency injection—passing services into classes. Includes examples for data access and APIs to support maintainable applications.

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• Reviewing C# implementation conventions
• Improving asynchronous code and cancellation handling
• Organizing service dependencies and configuration

Build Python APIs with FastAPI using clear routes, validated inputs, and consistent error handling. It guides asynchronous database and API calls, reusable dependencies, caching, and code organization to support readable implementations and responsive services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing API routes and input validation
• Reviewing asynchronous database and API calls
• Organizing error handling and logging

Set up Python APIs with FastAPI using organized project templates. Build routes, asynchronous database operations, authentication, and error handling, with examples for sharing dependencies and testing endpoints through a separate test database.

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• Set up a new FastAPI project
• Build a Python API with asynchronous database access
• Organize authentication and shared dependencies

Build Python APIs with FastAPI and Pydantic V2, including input validation, database operations that avoid blocking other work, and token-based authentication. Implement REST or WebSocket endpoints, then check their behavior with automated tests and generated API documentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build REST APIs with FastAPI
• Validate input data with Pydantic V2
• Implement JWT authentication and authorization