Results for “timer”

Windows アプリ開発 (WinUI 3 / Windows App SDK) のテスト・性能・アクセシビリティ・スレッド。 MSTest, xUnit, NUnit, WinAppDriver, Appium, Playwright, WebView2 テスト, CI, WACK, MSIX サイドローディング, version adaptive。LoggingChannel / ETW, WPT, WPA, プロファイリング, GC, 起動性能, XAML 最適化, ListView/GridView 仮想化。UI Automation, AutomationProperties, automation peers, キーボード操作性, ハイコントラスト, Narrator。DispatcherQueue, DispatcherQueueTimer, WinRT 非同期パターン, async/await, ConfigureAwait, スレッドプール, STA/MTA, デッドロック回避, バックグラウンドタスク。

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Build a single mobile app screen mockup in an iPhone 15 Pro frame. Choose from six layout types, apply the project's design settings, and produce HTML with device details such as the Dynamic Island and status icons.

• Mocking up a feed or message list
• Exploring a profile or product detail screen
• Presenting a checkout or welcome screen

Create a 16:9 animated hero composition with rotating rings, a globe or other focal graphic, and expressive typography. Deliver a single HTML document with CSS animations that a frame-capture exporter such as HyperFrames can turn into video.

• Create an animated hero for a marketing page
• Design a title card with moving typography
• Build a looping poster with rotating rings and a globe

Find and fix JavaScript memory leaks that accumulate as people use a web app. Review event listeners, timers, retained page elements, and outdated asynchronous tasks, then explain how to verify cleanup in the browser.

• Investigating rising memory use during long sessions
• Reviewing cleanup when components are removed
• Canceling outdated requests after view changes

Design agents that respond to incoming emails, external notifications, and timers. Plan how they handle interruptions, prioritize new requests, track concurrent tasks, and deliver results while longer operations continue in the background.

• Connecting agents to incoming emails and external notifications
• Scheduling reports and recurring checks
• Handling interruptions and changes during long tasks

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.

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

Build a looping animated hero, the large visual at the top of a page, or a video opening. Combine rotating text, a globe or abstract geometry, a timer, and floating labels with cinematic colors and one neon accent.

• Creating an animated video opening
• Designing a landing page hero
• Combining motion elements into a looping visual

Guides adding metadata, extra information attached to data elements, to Apache Beam's WindowedValue. Maps the changes needed across serialization, storage, processing, and runner interfaces so new fields remain available during pipeline execution.

• Adding trace context or drain flags to WindowedValue
• Checking metadata preservation through Windmill storage
• Reviewing propagation through grouping and timers

Implement scheduled data updates for dashboard panels with separate refresh intervals. Pause timers while the browser tab is hidden, stagger eligible updates on return to reduce request bursts, and prevent overlapping requests for the same panel.

• Setting different refresh intervals for dashboard panels
• Pausing periodic updates while a browser tab is hidden
• Staggering panel updates when returning to a tab

Plan persistence testing for authorized Windows and Linux security exercises, examining how access can survive logons or restarts. The skill compares mechanisms by privilege level and environment, with validation steps, detection indicators, and cleanup considerations.

• Planning persistence tests for authorized exercises
• Comparing methods by operating system and privilege
• Reviewing detection indicators for persistence

Build particle trails that keep consistent spacing as the pointer speeds up or slows down. Covers distance-based emission, drifting motion, placement in 3D scenes, performance checks, and alternatives for touch, keyboard use, and reduced motion.

• Creating sparks or wisps that follow the cursor
• Fixing gaps in trails during fast pointer movement
• Keeping trails aligned with the pointer in 3D scenes

Measure and improve animation performance on frontend pages. Identify offscreen activity, pause CSS and canvas or WebGL loops, audit resource cleanup, and compare runtime observations before and after changes to investigate scrolling issues and long-session slowdowns.

• Pause animations outside the viewport
• Investigate jerky scrolling
• Audit cleanup after page navigation

Write and configure unit tests, which check individual pieces of code, using Vitest. Replace dependencies with test substitutes, measure code coverage, compare saved outputs, and organize filtered or parallel test runs.

• Write unit tests for TypeScript code
• Replace functions and timers with test substitutes
• Measure coverage and compare saved outputs

Structure prediction for protein, nucleic-acid, and small-molecule complexes with the Chai-1 foundation model (Chai Discovery 2024, github.com/chaidiscovery/chai-lab). Reach for this skill to predict an antibody-antigen or protein-ligand complex from a single FASTA, to re-fold designed binders as an AlphaFold-multimer alternative, or to drive co-folding from Python for batched campaigns on a GPU.

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Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

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Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.

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Set up recurring or scheduled work — anything the user wants run on a schedule, repeatedly, or at a future time ("every morning", "each weekday at 9am", "daily digest", "weekly report", "remind me", "run this on a cron"). Teaches how to author a durable Vexa Scheduler routine that survives restarts. Use this instead of any OS cron job, system timer, or session-only reminder.

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Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

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Force the states a happy-path run never reaches (a failing API, an empty list, a slow request, a timeout, an expired session, a toast that auto-dismisses) and check the UI actually handles them. Use when error handling was written but never run, when a loading or empty state needs verifying, when a bug only happens on a slow connection, or when a timer, poll, debounce or retry needs testing without sleeping.

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Use when the user mentions memory leak prevention, code review for memory issues, or proactive leak checking — retain cycles, leaks, and Timer/observer patterns.

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Use when the user mentions battery drain, energy optimization, power consumption audit, or pre-release energy check — timer abuse, polling patterns, continuous location, animation leaks, and background mode misuse.

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Use when work crosses into Apple's system surfaces rather than your own UI or data — Siri and Shortcuts, widgets, Live Activities, in-app purchase, localization, privacy prompts, alarms, timers, calendar, reminders, contacts, SharePlay, VoIP and CallKit, accessory pairing, weather, Spotlight indexing, background tasks, Background Assets, push, or push on networks with no internet.

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Implement, review, or improve Live Activities and Dynamic Island experiences in iOS apps using ActivityKit. Use when building real-time updating widgets for the Lock Screen and Dynamic Island — delivery tracking, sports scores, ride-sharing status, workout timers, media playback, or any time-sensitive information that updates in real time. Also use when working with ActivityKit, ActivityAttributes, Activity lifecycle (request/update/end), Dynamic Island layouts (compact/minimal/expanded), push-to-update Live Activities, or Lock Screen live widgets.

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Model, simulate, and optimize Serializer/Deserializer (SerDes) systems — serial and parallel links — using MATLAB SerDes Toolbox. Design NRZ and PAM-N links (PAM3 through PAM16) — explore equalization architectures (FFE, CTLE, DFE), sweep or optimize parameters with genetic algorithms, and characterize channels from loss models, S-parameter files, or crosstalk scenarios. Process captured waveforms through equalization chains, build eye diagrams, and decompose jitter. Deliver IBIS-AMI models for Tx, Rx, Redriver, or Retimer by exporting to Simulink and compiling .ami/.ibs/.dll/.so files. Covers the full arc from initial design exploration and parameter optimization to compliance testing and compiled model validation, including custom datapath blocks for nonstandard equalization.

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