'callbacks' 검색 결과

Organize PyTorch models and data pipelines with PyTorch Lightning, automate training, save checkpoints, and track experiments. Includes templates and guidance for configuring training across multiple GPUs or TPUs.

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• Restructure PyTorch training code into LightningModules
• Build reusable data preparation and loading pipelines
• Configure checkpoints, early stopping, and experiment logs

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

Troubleshoot WxJava failures using logs, exceptions, and request details. The skill helps isolate configuration, access token, signature, payment certificate, callback, and network issues, then proposes a minimal fix with steps to verify the result.

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• Investigating failed WxJava API calls
• Diagnosing access token and storage issues
• Checking payment callbacks and signature verification

Guide development of custom Windows video applications with Zoom Video SDK and C++. Covers session setup, video display, screen sharing, and raw media access, meaning direct capture or injection of audio samples and video frames.

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• Build a custom video calling app for Windows
• Capture or inject raw audio and video
• Implement participant video and screen sharing

Read and control TanStack Table v9 state in Vue while keeping updates synchronized with the interface. Covers reactive reads, externally controlled state, update callbacks, shared state containers, and component boundaries for rendering.

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• Controlling pagination with Vue refs
• Displaying table state through computed values
• Investigating state synchronization failures

Read and control Angular Table v9 state using signals, Angular's reactive values. This skill explains tracked reads, externally managed pagination, shared state, and update callbacks so table changes stay connected to templates and derived values.

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• Managing pagination with Angular signals
• Diagnosing table state that does not update the view
• Reading only the state needed by a template

Write and review asynchronous C++ networking code using Boost.Asio or standalone Asio. The skill selects an implementation style for the installed library and C++ version, then checks memory lifetimes, concurrent writes, error handling, and build settings.

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• Implementing asynchronous TCP or UDP servers and clients
• Reviewing buffer lifetimes and concurrent socket writes
• Adapting networking code to older Boost and C++ versions

Create or modify Handsontable cell validators, functions that check whether input values are valid. Covers empty values, asynchronous callbacks that return validation results, access to cell settings, validator registration, and pitfalls involving dropdown behavior and corrected values.

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• Creating a custom cell validation rule
• Reviewing empty values and asynchronous validation
• Checking dropdown validation in never-selected cells

Integrate GSAP animations into React and Next.js components using useGSAP, element references, and scoped selectors. The skill guides dependency updates, event callbacks, and cleanup when components unmount, while keeping animation code out of server rendering.

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• Adding GSAP animations to React components
• Restricting animations to elements within one component
• Cleaning up animations when components unmount

Configure OAuth, the authorization flow used for provider sign-in, with portless development URLs. It guides callback registration and authentication library settings, helping diagnose rejected domains, redirect URL mismatches, and callbacks that point to the wrong address.

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• Setting up provider sign-in with portless development URLs
• Diagnosing redirect URL mismatch errors
• Using an owned domain when .localhost is rejected

Maps externally callable smart contract functions that change stored data, then groups them by access restrictions. Produces a structured audit report showing public functions, privileged operations, and access checks that need further review.

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• Mapping entry points before a smart contract audit
• Listing administrator and role-restricted operations
• Reviewing caller restrictions on callbacks

Assess dependency confusion, where a build retrieves a public package instead of an intended private one. Discover internal package names, review registry settings, plan callback-based proofs of execution, and document fixes across major package ecosystems.

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• Reviewing package registry settings in CI/CD
• Finding internal package names in lock files
• Planning an authorized callback-based proof of concept

Review Apache Pinot concurrency and state safety when locks, shared callbacks, lifecycle, or distributed metadata change.

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This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).

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Implement and review React, React Native, and TypeScript UI for maximum practical render performance through leaf-local updates, stable identities, honest Hook semantics, and minimal effects. Use for components, hooks, callbacks, context, external stores, memoization, list rows, large dependency arrays, callback or state fanout, re-render reduction, and React Compiler-aware performance work.

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Domain routing and boundary guidance for authorized operating system command injection testing, including direct injection, blind injection, out-of-band callbacks, and argument injection. Use when a task belongs to the command injection domain and needs scope, evidence, pivot, or exit criteria.

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Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

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Use this skill when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles, choosing slow-path send-task / recv-callback vs fast-path producer / consumer, querying max-msg-size or max-clients capabilities, registering connection callbacks, or debugging DOCA_ERROR_* returns from the Comch API. Trigger even when the user does not explicitly mention "DOCA Comch" or "Comm Channel" (renamed in DOCA 2.5) — typical implicit phrasings include "send a control message from host to BlueField over PCIe", "DPU can't see the host representor", "DOCA_ERROR_NOT_PERMITTED on server_create", "DOCA_ERROR_AGAIN on task_send submit", "connect callback never fires", or "stream bulk data from a host driver to a DPU agent". Refuse and route elsewhere for installing DOCA itself, BFB / firmware bring-up, non-Comch DOCA libraries, or deploying Comch apps at scale — those belong to other skills.

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Diagnose and repair CCB ask/job/message/reply/artifact/callback lineage. Use for missing replies, incomplete artifacts, pending callbacks, retry/resubmit/ack decisions, reply delivery problems, or work-chain resume advice.

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Builds resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like lambda durable functions, durable execution, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, reliable serverless applications, context.step, context.wait, context.invoke, context.runInChildContext, withDurableExecution, DurableContext, UnrecoverableInvocationError, durable-execution-sdk, qualified ARN invocation, and durable handler replay.

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Analyze and design an AssemblyAI architecture spanning pre-recorded jobs, Streaming v3, LLM Gateway, callbacks, queues, retention, and audit evidence. Use when performing system design or review. Trigger with "AssemblyAI architecture" or "design AssemblyAI pipeline".

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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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Emulated Twilio REST APIs for local development and testing. Use when the user needs to test Twilio Messaging, Verify, Voice, phone numbers, webhooks, status callbacks, inbound SMS simulation, or Twilio SDK integrations without hitting the real Twilio service.

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Wire player input in Unity 6.3 LTS with the Input System package: Input Actions, action maps, the PlayerInput component, and reading values via callbacks or polling. Use when the project has a .inputactions asset or com.unity.inputsystem, or when the user mentions the Unity Input System, InputAction, action maps, PlayerInput, control schemes, or rebinding.

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