「roi」の検索結果

Expert coding skill for the full MapTiler platform — Cloud REST APIs, MapTiler SDK JS (built on MapLibre GL JS), native mobile SDKs, on-premise infrastructure, and vector tile schemas. USE WHEN the user wants to add a map to a web or mobile app, show locations or routes, display geographic data, build a store locator, create data visualizations on maps, add geocoding or address search, do reverse geocoding, look up elevation, do IP geolocation, fetch weather data, transform coordinates between CRS/EPSG, embed static map images, work with vector tilesets (Planet v4, Buildings, Contours, Outdoor, Ocean, Landcover, Cadastre), write MapLibre style expressions or data-driven styling, render 3D terrain, globe view, or 3D buildings extrusion, use satellite imagery, add markers, popups, heatmaps, or clustering, integrate maps in React, Vue, Svelte, Angular, Next.js, Leaflet, OpenLayers, Cesium, or deck.gl, build native maps on iOS (Swift), Android (Kotlin), Flutter, or React Native, self-host with MapTiler Server or generate tiles with MapTiler Engine CLI, or upload/manage tilesets via the Admin API. Also USE WHEN the user mentions MapLibre GL JS — the SDK extends MapLibre with built-in cloud services, helpers, and session billing.

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。

Identify gemstones using optical properties, physical tests, and inclusion analysis. Covers refractive index, specific gravity, pleochroism, spectroscopy indicators, and common simulant detection. Use when identifying an unknown gemstone, verifying a seller's claim about species identity, distinguishing natural stones from simulants or synthetics, building gemological literacy through structured observation, or identifying rough material before cutting to ensure safe handling.

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。

Deploy machine learning models to edge devices using Google AI Edge Gallery, TensorFlow Lite, ONNX Runtime, and MediaPipe. Covers model quantization (INT8/INT4), on-device inference with Gemma 4 models, Android/iOS deployment via AI Edge Gallery, hardware delegate selection (GPU/NPU/DSP), and performance benchmarking on constrained devices. Use when deploying models to mobile phones, IoT devices, or embedded systems where cloud inference is impractical due to latency, cost, or connectivity constraints.

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 practical electromagnetic devices including electromagnets, DC and brushless motors, generators, and transformers by bridging theory to application. Use when sizing a solenoid or toroidal electromagnet for a target field or force, selecting motor topology and computing torque and efficiency, designing a transformer for a given voltage ratio and power rating, or analyzing losses from copper resistance, core hysteresis, and eddy currents.

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。

This skill should be used when the user asks to "test what I just changed", "/devtest", "smoke test my change", "verify my latest commit", "测一下我刚改的", "看看刚改的功能能不能跑", "跑一下登录看看", or similar requests to verify a recent code change against a running Android or iOS device. The skill reads the git diff, infers the affected UI surface, generates a focused test plan, drives the app via ui-mcp + mobile-mcp, captures logs via log-mcp, and produces a Markdown report via report-mcp.

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。

This skill should be used when the user asks to "explore the app", "/qa", "auto-test the app", "find bugs in my app", "猴子测试", "自动探索", "随便点一下看看", "测一下全 app 看有没有崩", "smoke explore", or wants autonomous exploration of an Android or iOS app to surface crashes / ANRs / unexpected states. Drives the app via ui-mcp + mobile-mcp, tracks visited pages and clicked elements via report-mcp's state graph, captures crashes via log-mcp, and produces a Markdown report with bug list + coverage stats.

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。

Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB including schema modeling, enum types, relationships, authorization rules), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify/ directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM/CDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).

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。

Verify NowStack Mobile changes across web, iOS, Android, and Convex with real runtime evidence. Use for `/ns verify`, cross-surface regression checks, acceptance proof, or release verification.

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。

Route NowStack Mobile lifecycle goals across setup, product planning, verification, live Simulator preview, security, analytics, email, web, iOS, Android, production audits, and release. Use for `/ns` commands or natural-language product goals.

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。

Configure Stripe for NowStack Mobile web and Android payments while preserving Apple IAP on iOS. Use for price ids, keys, webhooks, and payment config.

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。

Publish NowStack Mobile production surfaces. Use for Convex prod, web deploy, production env sync, and coordinating iOS/Android release skills.

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。

Generate NowStack Mobile onboarding backgrounds, splash, and brand artwork with AI image generation. Use for "generate onboarding images", "make brand art", "redo the splash". REQUIRES an image-gen tool (Codex/gpt-image); other agents follow the fallback. For the app icon (iOS/Android launcher icon) use ns-icon instead.

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。

Create a lean, mobile-aware Product Requirements Document for a NowStack Mobile app through interactive discovery, then save it to .agents/plan/PRD.md. Use for "write a PRD", "ns prd", "define the product", "plan my app", or as the first planning step before ns-architecture and ns-tasks. Mobile-flavored — personas, onboarding/paywall flow, platforms (iOS/Android/web), IAP vs subscription monetization, store scope. Feeds ns-init-project (site-config) and the rest of the planning pipeline.

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。

Perform a read-only NowStack Mobile launch audit across product, web, iOS, Android, backend, auth, payments, email, storage, analytics, stores, and operations. Returns an evidence-backed GO or NO-GO verdict.

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。

Install and verify every developer tool NowStack Mobile needs on this machine (Node, eas, vercel, convex, asc, gpc, fastlane, bun, gcloud, + Xcode/Android Studio). Cross-platform — Homebrew/npm on macOS, apt/curl on Linux, winget/scoop on Windows. Use for "install the CLIs", "set up my machine", "ns doctor", missing-tool errors, or right before /ns accounts. Proposes to install everything missing in one pass.

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。

Develop accessible mobile applications (iOS and Android) conforming to RAAM 1.1 (Luxembourg Mobile Accessibility Assessment Framework, based on EN 301 549 v3.2.1 / WCAG 2.1). Use when building native mobile apps, React Native, Flutter, or any mobile UI that must meet Luxembourg accessibility law. Covers all 15 RAAM themes with platform-specific code guidance. Default conformance target: Level AA.

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。

Audit mobile applications (iOS and Android) against RAAM 1.1 (Luxembourg Mobile Accessibility Assessment Framework). Use when reviewing existing mobile app code for accessibility compliance, generating audit reports, checking conformance levels, or preparing for Luxembourg accessibility certification. Covers all 15 themes with platform-specific test procedures. Default target: Level AA.

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。

Use this skill to integrate the Jetpack Compose Styles API into an Android project. This skill guides you through upgrading dependencies, setting up component themes, making custom components styleable, and migrating existing layout properties to use unified styles. Migrate custom design system components, replace hard coded parameters with Style attributes, and use Modifier.styleable for interaction states.

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。

Translates natural language data intents into syntactically valid Perfetto SQL queries and executes them against a local trace file. Use this skill to extract slice, thread, or memory data from Android Perfetto traces using trace_processor.

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。

Use this skill when upgrading or migrating an Android project from any legacy Google Play Billing Library (PBL) version to the latest stable version of PBL.

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。

Analyzes Perfetto traces to find the root cause of latency, memory, or jank issues in Android apps. Use when the user provides a Perfetto trace file and asks any question, ongoing investigation, or open-ended request to analyze its contents.

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。

Analyzes Android build files and R8 keep rules to identify redundancies, broad package-wide rules, and rules that subsume library consumer keep rules. Use when developers want to optimize their app's size, remove redundant or overly broad keep rules, or troubleshoot Proguard configurations.

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。

Use this skill to migrate legacy Android camera implementations (Camera1 or raw Camera2 APIs) to CameraX. CameraX is a lifecycle-aware Jetpack library built on top of Camera2 that resolves camera rotation issues and handles device dependencies.

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。

Analyze and create a testing strategy for native Android apps - install testing libraries, set up test infrastructure, create harnesses for unit tests, UI tests, screenshot tests, and end-to-end tests.

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。