“asynchronous”的搜索结果

Set up reinforcement learning, training guided by rewards, for language models with slime. The skill covers Megatron-LM training, SGLang response generation, data preparation, asynchronous execution, and custom workflows for agents that use tools across multiple turns.

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• Prepare GRPO training for GLM or Qwen3 models
• Overlap response generation and model training
• Train agents with multi-turn tool use

Build and debug Java applications with Spring Boot 3.x. This skill guides application design, API implementation, database query tuning, authentication, and testing, including WebFlux applications that process requests without blocking.

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• Build APIs with Spring Boot
• Improve slow JPA queries
• Configure OAuth2/JWT authentication

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.

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

Plan how to serve a model on Amazon SageMaker AI. The skill uses model type, traffic, response time, and cost constraints to recommend a deployment route, check instance quotas, and coordinate specialized setup and deployment skills.

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• Plan AWS hosting for a language model
• Choose a serving route for an embedding model
• Plan asynchronous inference for image generation

Add Sentry error reporting and performance monitoring to services, scheduled jobs, and database operations. Follow examples for capturing exceptions with useful context and measuring execution time through spans, which record individual operations for investigation.

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• Adding error reporting to an API
• Recording failures and execution time for scheduled jobs
• Measuring database and asynchronous operations

Turn Stitch designs into React and Vite dashboards with reusable components and asynchronous data fetching. It applies shared design settings from DESIGN.md, includes accessibility checks, and supports optional blockchain data reads.

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• Build a React dashboard from a Stitch screen
• Apply shared design settings from DESIGN.md
• Add data fetching and loading states

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

Draft clear, considerate comments for code reviews, issue replies, and team updates. Put the actionable point first, explain technical reasons when needed, and give a concrete next step while matching the conversation’s language.

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• Requesting a code change with a clear reason
• Replying to a contributor’s issue
• Writing a brief asynchronous team update

Add URL handlers to a TypeScript server built with Node's native HTTP module. The skill follows an existing switch/case router, connects named asynchronous handlers, and covers JSON responses, error handling, and optional shared request body parsing.

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• Adding an API endpoint to a native Node HTTP server
• Connecting a route file to an existing switch/case router
• Sharing JSON request body parsing across routes

Build or refactor SwiftUI screens using component examples for navigation, state, layouts, and controls. The skill guides screen composition, asynchronous loading, previews, and build checks while following existing project conventions and supported operating system versions.

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• Set up tabs, navigation, and sheets in a new app
• Refactor large screens into focused subviews
• Clarify state ownership and dependency sharing

Build React interfaces that clearly handle loading, errors, empty results, and submissions. Use examples and checklists to keep existing data visible during refetching, offer retry actions, and disable buttons while asynchronous operations are running.

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• Keeping existing data visible during refetching
• Adding visible errors and retry actions
• Showing guidance when lists or search results are empty

Create or review Blazor components, reusable parts of a web interface. Covers passing data and events between parent and child components, content templates, asynchronous work, display states, and resource cleanup when components are removed.

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• Creating reusable Blazor interface components
• Reviewing data and event flow between parent and child components
• Implementing debounced actions and periodic updates

Review C#/.NET code for about 50 inefficient API usage patterns across asynchronous work, memory, strings, collections, and I/O. Get exact occurrence counts, prioritized findings, and concrete fixes, with attention to frequently executed code.

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• Reviewing frequently executed C#/.NET code
• Finding unnecessary memory allocations
• Checking known performance pitfalls before release

Coordinate independent Squad AI teams across repositories using procedures for questions, review requests, and task delegation. Choose between direct CLI sessions, reading team metadata, and asynchronous requests based on repository access and task needs.

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• Asking another Squad about architecture or past decisions
• Requesting a pull request review across repositories
• Delegating work to another repository's AI team

Run demanding scientific work on SSH compute hosts using direct execution or Slurm, a cluster job scheduler. Choose an enabled host, submit background jobs, check progress, collect outputs, and continue with analysis and artifact publication.

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• Running long GPU inference jobs on a remote host
• Submitting scientific workloads through Slurm
• Collecting and analyzing completed job outputs

Generate brief daily check-ins, evening reflection questions, and weekly or monthly reviews for individuals and teams. Summarize supplied entries to highlight accomplishments, blockers, and supported patterns, with optional suggestions for next actions.

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• Clarifying today's priorities in a morning check-in
• Drafting an asynchronous team progress update
• Reflecting on lessons at the end of the day

Apply Kiln’s coding rules when editing or reviewing Python, TypeScript, and Svelte. The skill combines area-specific guidance with a script that checks changed lines, plus manual checks for architecture, configuration handling, shared state, and asynchronous operations.

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• Checking coding rules before changing Kiln
• Checking uncommitted changes for convention violations
• Reviewing a branch or pull request against shared rules

Create a Markdown questionnaire for someone who has information you need. Clarify the recipient and required decisions, then produce prioritized questions with context and answer spaces for asynchronous replies or a meeting.

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• Requesting information from a subject expert
• Gathering answers without scheduling a meeting
• Preparing questions for a discovery meeting

Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), background reasoning (extended thinking), asynchronous function calling, session management, ephemeral tokens, live transcription, and live translation. SDKs covered - google-genai (Python), @google/genai (JavaScript/TypeScript).

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Discover current MuAPI image models and run one explicitly confirmed asynchronous image generation request with bounded polling. Use when an agent needs hosted image generation without hard-coding stale model endpoints or request IDs.

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Reactive streams and event-driven programming in Golang using samber/ro — ReactiveX implementation with 150+ type-safe operators, cold/hot observables, 5 subject types (Publish, Behavior, Replay, Async, Unicast), declarative pipelines via Pipe, 40+ plugins (HTTP, cron, fsnotify, JSON, logging), automatic backpressure, error propagation, and Go context integration. Apply when using or adopting samber/ro, when the codebase imports github.com/samber/ro, or when building asynchronous event-driven pipelines, real-time data processing, streams, or reactive architectures in Go. Not for finite slice transforms (→ See `samber/cc-skills-golang@golang-samber-lo` skill).

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Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing. Triggers: "queue storage", "QueueServiceClient", "QueueClient", "message queue", "dequeue".

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Builds, runs, debugs, and operates event-driven applications using EventBridge Event Bus - a managed, centrally governed publish/subscribe event bus that an organization can share across many teams and accounts. Applicable when workloads need event-driven architectures, decoupling, choreography, asynchronous integration, pub/sub, fan-out, event ordering, delivered in sequence, event router, event broker, event bus, event store, event retention, event replay, deduplication, avro, protobuf, cloudevents, uses events or messages. Designed as a centrally managed event bus platform allowing governance and control - such as subscriber control, revocation, per-account throttling - while giving application owners flexibility across an organization spanning multiple accounts, with end-to-end open-standards observability and cost allocation. Also helps reduce costs in high fan-out scenarios where multi-account forwarding adds cost. A serverless, managed alternative to self-managed event streaming platforms.

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Analyze and operate a production AssemblyAI pre-recorded pipeline with explicit models, Speech Understanding, callbacks, and retention controls. Use when running asynchronous transcription. Trigger with "AssemblyAI async transcription" or "pre-recorded pipeline".

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