「interactions」の検索結果

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

日本語の概要は準備中です。原文の説明を表示しています。

Designer's eye QA: finds visual inconsistency, spacing issues, hierarchy problems, AI slop patterns, and slow interactions — then fixes them. (gstack)

日本語の概要は準備中です。原文の説明を表示しています。

Script a multi-turn tutoring dialogue with branching responses for anticipated student difficulties. Use when designing AI tutors, chatbot interactions, or structured one-to-one support scripts.

日本語の概要は準備中です。原文の説明を表示しています。

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

日本語の概要は準備中です。原文の説明を表示しています。

Garnish — Craft CMS's built-in JavaScript UI toolkit for the control panel. ALWAYS load when writing, editing, or reviewing JavaScript that runs in the Craft CP — plugin CP assets, custom field type JS, element index JS, CP webpack config, or code importing garnishjs / referencing window.Garnish. Also for CP accessibility, keyboard interactions, drag-sort, and CP JS memory issues.

日本語の概要は準備中です。原文の説明を表示しています。

Write Swift animation code using Apple's latest frameworks — SwiftUI animations, Core Animation, and UIKit. Prefer first-party APIs over third-party libraries. Use when implementing iOS animations, writing animation code, building transitions, creating gesture-driven interactions, or converting animation specs/designs into working Swift code. Covers iOS 18 through iOS 26 APIs including KeyframeAnimator, PhaseAnimator, custom Transition protocol, zoom navigation transitions, matchedGeometryEffect, symbol effects, mesh gradients, and SwiftUI-UIKit animation bridging.

日本語の概要は準備中です。原文の説明を表示しています。

Design and plan iOS animations with structured specs covering transitions, micro-interactions, gesture-driven motion, and loading states. Use when the user asks to plan, design, or spec out animations for an iOS app — including screen transitions, navigation animations, interactive gestures, onboarding flows, or any motion design work. Also use when the user wants animation recommendations or wants to decide between animation approaches before writing code.

日本語の概要は準備中です。原文の説明を表示しています。

Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.

日本語の概要は準備中です。原文の説明を表示しています。

Diagnose Kolu client-side performance issues (memory leaks, high GPU, slow interactions) using chrome-devtools MCP + the Debug → Diagnostic info dialog + heap-snapshot analyzers. Triggers on "memory leak", "GPU memory", "tab bloat", "why is kolu slow", "debug performance", "zombie canvas", "WebGL leak", or any

日本語の概要は準備中です。原文の説明を表示しています。

RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted output.

日本語の概要は準備中です。原文の説明を表示しています。

Motion design — produce HTML animations and export MP4/GIF with optional BGM. Use when asked to "animate this", "create a motion design", "make an intro animation", "product launch animation", "promo video", "export MP4", "export GIF", "60fps animation", "animated logo", or "motion graphics". Delivers a self-contained HTML animation plus rendered video exports. Not for micro-interactions in production code — use /prism-ui for that.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guide for reverse-engineering UI/UX interactions from screen-recordings and spatial video, extracting animation spring curves, and generating pixel-perfect Tailwind CSS v4 and Framer Motion code / Panduan ahli rekayasa balik interaksi UI/UX dari rekaman layar dan video spasial, ekstraksi kurva pegas animasi, dan pembuatan kode presisi Tailwind CSS v4 serta Framer Motion.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guide for Web3 and blockchain dApp integration — viem, wagmi v2, ethers.js v6, RainbowKit, smart contract interactions, and EVM wallet state / Panduan ahli integrasi Web3 dan blockchain.

日本語の概要は準備中です。原文の説明を表示しています。

Small purposeful animations — toggles, animated icons, success moments. Use when designing interactive feedback, success states or loaders.

日本語の概要は準備中です。原文の説明を表示しています。

Elite frontend design taste for building, reviewing, and polishing web interfaces. Use whenever the user wants to design, redesign, shape, critique, audit, polish, or improve any UI (landing pages, portfolios, dashboards, product UI, components, forms, onboarding, empty states) or asks to make something look better / premium / modern, fix the styling, add or fix animations, or make a design feel less generic ("AI slop"). Covers typography, color, spacing, layout, visual hierarchy, motion, micro-interactions, component states, accessibility, responsive behavior, UX copy, and anti-pattern detection.

日本語の概要は準備中です。原文の説明を表示しています。

Foundations of individual economic decision-making, market structures, and strategic interaction. Covers supply and demand analysis, price elasticity, consumer and producer surplus, market structures (perfect competition, monopoly, oligopoly, monopolistic competition), game theory (Nash equilibrium, dominant strategies, repeated games), and welfare economics. Use when analyzing individual markets, firm behavior, pricing strategies, consumer choice, or strategic interactions between economic agents.

日本語の概要は準備中です。原文の説明を表示しています。

Earth systems science covering plate tectonics, landforms, erosion, biomes, hydrosphere, atmospheric circulation, and the interactions among lithosphere, hydrosphere, atmosphere, and biosphere. Provides frameworks for analyzing how physical processes shape landscapes over geological and human timescales. Use when reasoning about landforms, natural hazards, climate patterns, ocean currents, biogeography, or any question about how Earth's physical systems operate and interact.

日本語の概要は準備中です。原文の説明を表示しています。

Ecological organization, energy flow, food webs, biodiversity, succession, and species interactions. Covers trophic structure, primary productivity, nutrient transfer efficiency, keystone and foundation species, ecosystem services, carrying capacity, disturbance regimes, primary and secondary succession, and resilience metrics. Use when analyzing how living communities are organized, how energy and matter move through ecosystems, how disturbance and recovery shape landscapes, or why biodiversity matters for ecosystem function.

日本語の概要は準備中です。原文の説明を表示しています。

Access ClinPGx pharmacogenomics data (successor to PharmGKB). Query gene-drug interactions, CPIC guidelines, allele functions, for precision medicine and genotype-guided dosing decisions.

日本語の概要は準備中です。原文の説明を表示しています。

Google Calendar management via CalendarACSet. Transforms scheduling operations into GF(3)-typed Interactions, routes to triadic queues, detects saturation for balanced-calendar-as-condensed-state.

日本語の概要は準備中です。原文の説明を表示しています。

Automate browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to: - Navigate websites and interact with web pages - Fill forms and click buttons - Take screenshots of web content - Test web applications - Extract information from web pages - Debug frontend issues in the browser - Monitor console logs and network requests - Record browser sessions as video This skill uses agent-browser for comprehensive browser automation. RECOMMENDATION: Disable Chrome DevTools or Playwright MCP when using this skill to save context.

日本語の概要は準備中です。原文の説明を表示しています。

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

日本語の概要は準備中です。原文の説明を表示しています。

Designs conjoint and factorial-vignette experiments: attributes and restrictions, effective-N power, estimand choice among AMCE, marginal means, and AMIE, forced choice versus rating, and PAP tiers. Use when planning a conjoint, critiquing an attribute table, sizing respondents and tasks, or testing interactions.

日本語の概要は準備中です。原文の説明を表示しています。

Designs conjoint and factorial-vignette experiments, covering attribute architecture and randomization restrictions, effective-N power, treatment realism, the choice among AMCE, marginal-mean, and AMIE estimands, forced-choice versus rating designs, and PAP tiers. Use when the user is planning a conjoint, drafting or critiquing an attribute table, asking how many respondents or tasks are needed, whether to report AMCEs or marginal means, or how to test interactions. Reviewing an existing design goes to conjoint-diagnostics, cleaning the export to conjoint-cleaning.

日本語の概要は準備中です。原文の説明を表示しています。