搜索
搜索结果
48 results for "argent react native optimization"
argent-react-native-optimization
通过先进行性能分析找到真正的瓶颈，然后扫描机械性问题来优化 React Native 应用。所有性能工作的入口点。当应用感觉卡顿、用户要求优化、修复重新渲染、减少卡顿或改善启动速度时使用。委托 argent-react-native-profiler 进行测量。
software-mansion
react-native-best-practices
提供 React Native 性能优化指南，涵盖 FPS、TTI、包体积、内存泄漏、重渲染和动画。适用于涉及 Hermes 优化、JS 线程阻塞、桥接开销、FlashList、原生模块或调试卡顿和丢帧的任务。
callstackincubator
expo-react-native-performance
Expo React Native performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Expo React Native code to ensure optimal performance patterns. Triggers on tasks involving React Native components, lists, animations, images, or performance improvements.
pproencaargent-create-flow
Create, record, edit, replay, or repair reusable Argent flow YAML files. Use when the user asks to record or replay a repeatable device path, set up profiling or an A/B comparison, or invoke the authoring engine behind argent-qa-flows. Also use before repeating three or more interactions. For one-off UI checks, acceptance-driven regression tests, or screen video, use argent-test-ui-flow, argent-qa-flows, or argent-screen-recording respectively.
software-mansion
az-cost-optimize
分析应用中使用的 Azure 资源（IaC 基础设施即代码文件及/或目标资源组中的资源）并进行成本优化，同时针对识别出的优化点自动创建 GitHub issue。
github
vercel-optimize
用于对已部署项目（尤其是 Next.js、SvelteKit、Nuxt 以及部分 Astro 应用）进行 Vercel 成本与性能优化。先收集 Vercel 指标、用量、项目配置和代码扫描结果；仅调查有指标支持的候选方案；基于已验证的文件和版本感知的 Vercel/框架文档生成排序后的建议。触发场景：Vercel 账单降低、慢或昂贵的路由、缓存优化机会、函数调用次数、构建分钟数、快速数据传输、Core Web Vitals、Bot Management、Fluid compute 或成本分解请求。
vercel-labs
react-native-expert
构建、优化和调试使用 React Native 和 Expo 开发的跨平台移动应用。实现导航层级（标签页、堆栈、抽屉），配置原生模块，使用 memo 和 useCallback 优化 FlatList 渲染，并处理 iOS 和 Android 的平台特定代码。适用于构建 React Native 或 Expo 移动应用、设置导航、集成原生模块、改善滚动性能、处理 SafeArea 或键盘输入，或配置 Expo SDK 项目。
jeffallan
react-performance-optimization
React performance optimization patterns using memoization, code splitting, and efficient rendering strategies. Use when optimizing slow React applications, reducing bundle size, or improving user experience with large datasets.
nickcrew
nano-banana-2
使用 RunComfy 上的 Google Nano Banana 2（Gemini 系列闪级文生图模型）生成图像——技能内置了模型文档中的提示词模式，因此输出比直接使用同一模型更精准。文档介绍了 Nano Banana 2 的优势（快速迭代、图像内文字渲染、可预测构图、可选的网络搜索上下文）、分辨率等级定价、安全容忍度调节，以及何时改用 Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream。通过本地 RunComfy CLI 调用 `runcomfy run google/nano-banana-2/text-to-image`。触发词包括“nano banana”、“nano-banana-2”、“nano banana 2”、“google image gen”、“gemini image”或任何明确要求使用此模型生成图像的请求。
agentspace-soupgrading-react-native
通过应用 rn-diff-purge 模板 diff、更新 package.json 依赖、迁移 iOS 及 Android 原生配置、处理 CocoaPods 和 Gradle 变更，以及应对 Breaking Change（破坏性 API 更新），将 React Native 应用平滑升级到更高版本。适用于升级 React Native、提升 RN 版本、从 RN 0.x 跨版本升级到 0.y，或在升级 React Native 时同步迁移 Expo SDK 等场景。
callstackincubatorgtm-product-led-growth
Build self-serve acquisition and expansion motions. Use when deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when product complexity demands human touch. Includes the parallel test where sales-led won 10x on revenue.
github
agent-spec-mobile-react-native
Agent skill for spec-mobile-react-native - invoke with $agent-spec-mobile-react-native
ruvnet
next-cache-components-optimizer
通过设置代理循环，在缓存组件/PPR下，使Next.js路由在初始加载（硬导航）和客户端导航（软导航）时实现即时导航。将目标编码为一个失败的@next/playwright instant()端到端测试，并逐步使其通过，每次验证一个路由；交付的测试随后防止回归。当被要求使路由导航即时（其静态外壳立即提交）、修复静态外壳未预渲染/服务/预取的路由、扩展路由的静态外壳或修复其首次绘制缓慢、诊断哪个Suspense边界阻止路由进入静态外壳，或为路由编写instant()端到端守卫时使用。需要Next.js 16.3+并启用cacheComponents；如果版本较旧，则指导升级。
verceljava-add-graalvm-native-image-support
GraalVM Native Image 专家，为 Java 应用添加原生镜像支持，构建项目，分析构建错误，应用修复，并迭代直至使用 Oracle 最佳实践成功编译。
github
react-best-practices
React performance optimization guidelines from Mastra Engineering. This skill should be used when writing, reviewing, or refactoring React code to ensure optimal performance patterns. Triggers on tasks involving React components, data fetching, bundle optimization, or performance improvements.
mastra-ai
react-vite-best-practices
React and Vite performance optimization guidelines. Use when writing, reviewing, or optimizing React components built with Vite. Triggers on tasks involving Vite configuration, build optimization, code splitting, lazy loading, HMR, bundle size, or React performance.
asyrafhussinassess-react-native-migration
评估现有移动端产品是否以及如何迁移到 React Native。适用于审计一个或多个产品代码库的迁移就绪度（包括 iOS、Android 及其他客户端分布在不同目录或独立仓库的情况）；选择 Brownfield（混合/渐进式）、Greenfield（全新重构）或基于 Checkpoint（关键验证点）的路线；定义具有代表性的试跑方案；以及在正式实施前制定基线与 ROI 决策。当缺少产品范围或关键事实依据时，不会一次性发问卷，而是每轮严格追问干系人一个关键问题。
callstackincubator
nano-banana-2
Generate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream instead. Calls `runcomfy run google/nano-banana-2/text-to-image` through the local RunComfy CLI. Triggers on "nano banana", "nano-banana-2", "nano banana 2", "google image gen", "gemini image", or any explicit ask to generate with this model.
prime-skills
graalvm-native-image
Provides expert guidance for building GraalVM Native Image executables from Java applications. Use when converting JVM applications to native binaries, optimizing cold start times, reducing memory footprint, configuring native build tools for Maven or Gradle, resolving reflection and resource issues in native builds, or implementing framework-specific native support for Spring Boot, Quarkus, and Micronaut. Triggers include "graalvm native image", "native executable java", "java cold start optimization", "native build tools", "ahead of time compilation java", "reflection config graalvm", "native image build failure".
giuseppe-trisciuoglioarize-prompt-optimization
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.
github
react-native-best-practices
Software Mansion's best practices for production React Native and Expo apps on the New Architecture. MUST USE before writing, reviewing, or debugging ANY code in a React Native or Expo project. If the working directory contains a package.json with react-native, expo, or expo-router as a dependency, this skill applies. Trigger on: any code task in a React Native/Expo project, 'React Native', 'Expo', 'New Architecture', 'Reanimated', 'Gesture Handler', 'react-native-svg', 'ExecuTorch', 'react-native-audio-api', 'react-native-enriched', 'Worklet', 'Fabric', 'TurboModule', 'WebGPU', 'react-native-wgpu', 'TypeGPU', 'GPU shader', 'WGSL', 'svg', 'animation', 'gesture', 'audio', 'rich text', 'AI model', 'multithreading', 'chart', 'vector', 'image filter', 'shared value', 'useSharedValue', 'runOnJS', 'scheduleOnRN', 'thread', 'worklet', 'Bundle Mode', or any question involving UI, graphics, native modules, or React Native threading and animation behavior. Also use when a more specific sub-skill matches.
software-mansion-labsnano-banana-pro-openrouter
通过OpenRouter使用Gemini 3 Pro Image模型生成或编辑图像。适用于纯提示词图像生成、图像编辑和多图像合成；支持1K/2K/4K输出。
github
optimize-for-gpu
GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.
k-dense-ai
vega-multi-tv-migration
将 Vega OS（Amazon Fire TV）应用程序迁移到支持 Android TV、Apple TV 及其他平台的多平台 React Native 单体仓库。涵盖分析、实现和原生模块集成。适用于将电视应用迁移以支持多平台，或构建新的多平台电视应用。
amazonappdev