'ios' 검색 결과

Improve app store listings through keyword research, competitor comparisons, and revised titles and descriptions. Plan A/B tests, review visual messaging, and organize launch preparations for apps on Apple App Store and Google Play Store.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching keywords for an app store listing
• Rewriting app titles and descriptions
• Comparing competitor keywords and visual messaging

Generate images from text or reference images using multiple image services. Choose aspect ratios, sizes, and quality settings, or generate a collection of images in batches from saved prompt files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create illustrations from text descriptions
• Change scenes using reference images
• Generate images in specific aspect ratios

Open local or public web pages in BrowserStack Live for checks on real mobile devices or desktop browsers. The skill prepares temporary access to a local server, launches the requested session, and shares its dashboard link.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check a local page on an Android device
• Open a page in Safari on an iPhone or iPad
• Inspect behavior in a specific desktop browser

Evaluate AI models and agents on Google Cloud using test datasets and scoring criteria. Generate simulated user scenarios, analyze failures, and compare results across changes to guide improvements to prompts and code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build evaluation datasets from conversation logs
• Generate simulated user scenarios
• Choose scoring criteria for responses and tool use

Run MNN checks and regression tests on a host computer or Android device, with stage summaries and failure logs. A separate workflow benchmarks LLM prompt processing and token generation on real iPhones and iPads, including branch comparisons.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run static checks and host regression tests
• Verify selected backends on an Android device
• Benchmark LLM speed and compare branches on iPhone or iPad

Review Amazon Ads campaigns, targeting, search terms, product readiness, budgets, and advertising cost ratios. Get prioritized recommendations tied to supporting evidence, with missing data and uncertainty clearly identified.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Amazon Ads campaign structure
• Checking search terms and targeting
• Reviewing advertising cost ratios and budgets

Set and review how interface text renders, including font loading, size hierarchy, line spacing, wrapping, truncation, and punctuation. Apply fixes within the existing styling system and check how realistic content behaves across different widths.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize heading and body text sizes
• Fix wrapping and truncated text
• Keep changing numbers aligned

Automate website interactions through a command-line browser tool. Navigate pages, fill forms, extract text, save screenshots or PDFs, reuse login sessions, and compare page states to check the effects of actions or website changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automating form entry and submission
• Extracting page text and saving screenshots
• Comparing page appearance before and after changes

Evaluate local Codex skills and plugins, understand their scores, and identify fixes to prioritize. Get explanations of token estimates, set up benchmark scenarios, and prepare workflows for measuring actual token usage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Evaluate a local skill or plugin
• Understand scores and prioritize fixes
• Explain token estimates and prepare actual measurements

Refactor large SwiftUI screens into smaller views with clear inputs and state ownership. Organize actions, shared dependencies, and observable models while preserving existing layout and behavior, making the code easier to read and test.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Split a large SwiftUI screen into smaller views
• Clarify state ownership and data flow
• Move business logic out of the view body

Interpret statistical models in R and Python using predictions, comparisons, and marginal effects, which describe how outcomes change with predictors. Get guidance on choosing quantities, evaluating scenarios, summarizing groups, measuring uncertainty, and testing hypotheses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Calculate predicted probabilities for chosen conditions
• Estimate how outcomes change with a predictor
• Compare treatment effects across groups

Guide app automation on iOS, tvOS, macOS, and Android using help matched to the installed agent-device CLI. Tasks include screen inspection, taps, text entry, scrolling, and collecting logs, network information, or performance evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Navigate apps and verify the resulting screens
• Automate text entry and scrolling
• Capture screenshots and inspect interface information

Create or refactor SwiftUI screens with practical patterns for tabs, navigation, sheets, layouts, and state ownership. It also guides asynchronous loading, previews, accessibility labels, and build checks while respecting the project's conventions and supported OS versions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a new tabbed SwiftUI app structure
• Splitting large screens into focused components
• Organizing state ownership and data flow

Build, update, and apply iOS design specifications using Apple Human Interface Guidelines (HIG) source data. Use when a task asks for iOS UI/UX rules, Apple design standards, component behavior, accessibility constraints, interaction patterns, or feature-level design-spec writing grounded in official HIG pages.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

iOS pentesting playbook. Use when testing iOS applications for keychain extraction, URL scheme hijacking, Universal Links exploitation, runtime manipulation, binary protection analysis, data storage issues, and transport security bypass during authorized mobile security assessments.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Play and mix audio in Godot 4.7: AudioStreamPlayer (2D/3D variants), audio buses with volume/mute and effects, music vs SFX routing, db/linear volume, and precise sync-to-beat playback timing. Use when playing sounds or music in a Godot project, routing AudioStreamPlayer nodes to buses, adjusting bus volume via AudioServer, or syncing gameplay to the beat.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build, test, and drive iOS apps in the Simulator with 30 token-efficient scripts. Use when asked to build or test an Xcode project, launch an app on a simulator, tap/type/swipe through its UI by accessibility label, take screenshots or visual diffs, audit accessibility, read logs or diagnose hangs, or manage simulators (boot, erase, permissions, location, push, appearance). macOS only; needs Xcode, Python 3.12+ and idb.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Query and download from NCBI Gene Expression Omnibus (GEO) and EMBL-EBI's BioStudies/ArrayExpress mirror. Use when finding expression datasets, navigating SuperSeries vs SubSeries, choosing between series-matrix (submitter-normalized) and raw supplementary files, downloading via GEOparse (Python) or GEOquery (R/Bioconductor), linking GEO to SRA for raw reads, or distinguishing GSE/GSM/GPL/GDS record types. Encodes the SuperSeries trap, the series-matrix normalization-trust caveat, GEOmetadb deprecation, ArrayExpress migration to BioStudies, and processed-vs-raw decision matrix.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous signal), EpiSegMix (flexible-distribution HMM with duration modeling, 2024), EpiLogos (multi-biosample visualization), IDEAS (cell-type-aware joint), and full-stack ChromHMM (Vu Ernst 2022) for cross-cell-type segmentations. Handles state-count selection (15 vs 18 vs 25 states), binarization choice, OverlapEnrichment / NeighborhoodEnrichment downstream analysis, and cross-biosample integration. Use when learning chromatin states from a histone mark panel, characterizing learned states by genomic feature enrichment, or comparing chromatin landscapes across cell types.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Fetch WeatherKit current, minute, hourly, and daily forecasts; weather alerts; iOS 18+ changes, historical comparisons, summaries, and statistics; and required Apple Weather attribution. Use when integrating weather data, showing forecasts or alerts, caching WeatherKit responses, displaying attribution, or reviewing WeatherKit query limits in iOS apps.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement, review, or improve SwiftUI Liquid Glass effects for iOS 26+. Covers glassEffect modifier, GlassEffectContainer, glass button styles, glass toolbar/tab bar, static status badges vs interactive controls, morphing transitions, tinting, interactive glass, ToolbarSpacer, scrollEdgeEffectStyle, backgroundExtensionEffect, and availability gating. Use when asked about Liquid Glass, glass buttons, glassEffect, GlassEffectTransition, glassEffectID, glassEffectUnion, scroll edge effects, or adopting iOS 26 design.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement and review Apple TipKit feature-discovery UI for iOS 17+ apps. Use when adding or auditing in-app tips, contextual help, coach marks, Tip, TipView, popoverTip, rules, events, actions, display frequency, testing overrides, reusable tip identifiers, or iOS 18+ TipGroup and CloudKit tip sync; avoid for generic SwiftUI navigation or layout outside tip presentation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. Covers both the modern Swift-native Vision API (iOS 18+) and legacy VNRequest patterns, VisionKit DataScannerViewController for live camera scanning, and CoreMLRequest/VNCoreMLRequest for custom model inference. Use when adding OCR, barcode scanning, face detection, or custom Core ML model inference with Vision.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when capturing or analyzing an iOS .memgraph, especially when the task mentions a memory leak, heap growth, persistent memory increase, ownership path, or matched-capture comparison with Apple CLI tools. Covers unambiguous Simulator capture, leaks/heap/vmmap/malloc_history evidence, raw artifact preservation, and same-flow verification. Use debugging-instruments for interactive Xcode Memory Graph, Instruments, generic retain-cycle inspection, or LLDB work.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.