Results for “modals”

Create and optimize popups, modals, overlays, slide-ins, and banners to increase conversions without harming user experience or brand trust.

Design and optimize popups, modals, and overlays to capture leads and increase conversions without damaging user experience.

Design high-converting popups, modals, and banners that capture value without harming user experience or brand trust.

Detects and removes disruptive overlays (cookie banners, modals, paywalls, login walls) from webpages before screenshots, scraping, or browser automation.

Design and optimize in-app paywalls, upgrade screens, and upsell modals to convert free users to paid or upgrade to higher tiers.

Provides copy-paste animation patterns for React and Next.js, including buttons, modals, toasts, stagger lists, page transitions, scroll reveals, and layout animations, all built on motion-foundations tokens.

Apply subtle gradient-border treatments for premium web surfaces. Use when cards, pricing panels, nav bars, modals, buttons, or hero surfaces need a refined edge highlight without a loud glow.

Builds Lightning Web Components for record-page quick actions, covering screen actions with modals and headless actions with no UI, including lifecycle, recordId injection, and post-action UX.

Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.

Provides portable CSS transitions for common UI patterns like dropdowns, modals, tooltips, and skeleton loaders. Each transition is a drop-in snippet with semantic CSS custom properties and a prefers-reduced-motion guard.

Deploy and scale Python AI/ML workloads on Modal's serverless cloud, including GPU compute, web endpoints, scheduled jobs, and persistent storage.

Runs a headless-Chromium sweep at phone/tablet widths to catch off-screen overflow, tiny touch targets, clipped text, and oversized modals, then reports each offender with a screenshot and a concrete fix.

Deploy and serve AI/ML models on Modal's serverless cloud platform with on-demand GPUs, autoscaling containers, persistent storage, and scheduled jobs.

Build accessible modal dialogs in LWC using the LightningModal base class, covering open(), close(), sizes, and accessibility.

Imported skill modal from langchain

Invoke a deployed Modal function with JSON arguments

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

Modal component for displaying dialog boxes and content overlays. Invoke when user needs to implement modal dialogs, confirmations, or floating panels in Naive UI.

When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also use when the user mentions "exit intent," "popup conversions," "modal optimization," "lead capture popup," "email popup," "announcement banner," or "overlay." For forms outside of popups, see form-cro. For general page conversion optimization, see page-cro.

Deploy a Modal function from a local Python file

Run ML workloads on Modal's serverless GPU cloud platform with auto-scaling, pay-per-second pricing, and Python-native infrastructure.

Execute código Python na nuvem com contêineres serverless, GPUs e autoscaling. Use ao fazer deploy de modelos de ML, executar jobs de processamento em lote, agendar tarefas compute-intensivas ou servir APIs que exigem aceleração GPU ou scaling dinâmico.

List deployed Modal functions in the current workspace

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also use when the user mentions "exit intent," "popup conversions," "modal optimization," "lead capture popup," "email popup," "announcement banner," or "overlay." For forms outside of popups, see form-cro. For general page conversion optimization, see page-cro.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Apple HIG: Interaction Patterns

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.