Background fetch, processing tasks, background location, headless JS, battery optimization - Expo and bare React Native
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Background fetch, processing tasks, background location, headless JS, battery optimization - Expo and bare React Native
中文简介正在准备中。当前显示原文说明。
Optimize images for web performance — format conversion (WebP, AVIF), responsive sizing, compression, background removal, lazy loading, and WordPress media library integration. Uses MCP bridge tools (resize_image, remove_background) as primary; the Design Stack media worker (Sharp) as fallback for advanced/batch processing. Use when you need to resize images for social media, convert formats for faster page loads, remove backgrounds from product photos, generate alt text, or batch-process an entire media library.
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Background processing and heavy computations using Dart Isolates with Isolate.run(), compute() function, and platform channels. Use this skill when performing CPU-intensive operations without blocking UI (image processing, data parsing, encryption), implementing background tasks that prevent jank or frame drops, handling large file operations (JSON parsing, database migrations), running parallel computations, fixing UI freezes caused by main thread blocking, using compute() for one-off background work, creating long-lived Isolates with ReceivePort/SendPort, implementing multi-threaded algorithms, debugging isolate communication issues, or preventing memory leaks from unclosed ReceivePorts. Covers isolate spawn, message passing, ReceivePort cleanup (CRITICAL for leak prevention), SendPort communication patterns, error handling, serialization rules, and performance optimization for compute-heavy operations.
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VibeFarsi 44 backgrounds: production-level layering, contrast, pointer safety. Use when implementing, reviewing or testing vibefarsi 44 backgrounds for React, Vite, Next.js or Perfect_AI projects.
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Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.
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ABP Framework cross-cutting patterns including authorization, background jobs, distributed events, multi-tenancy, and module configuration. Use when: (1) defining permissions, (2) creating background jobs, (3) publishing/handling distributed events, (4) configuring modules.
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Calls significant loops from protein-directed and targeted 3C assays (HiChIP, PLAC-seq, Capture Hi-C/PCHi-C, ChIA-PET) where the contact background is peak-anchored and coverage-biased, so generic Hi-C loop callers (cooltools dots, Juicer HiCCUPS) use the wrong null. Covers FitHiChIP (config-driven coverage+distance-decay spline regression, peak-to-peak vs peak-to-all foreground, loose vs stringent background, coverage vs ICE bias), MAPS (positive Poisson regression on bias factors for PLAC-seq/HiChIP), hichipper (restriction-site-distance bias model + library QC), CHiCAGO (Delaporte two-component Brownian+technical background for asymmetric bait x other-end Capture Hi-C), the with/without separate-ChIP anchor decision, and differential loops via diffloop. Use when calling loops from HiChIP/PLAC-seq/Capture Hi-C, choosing FitHiChIP/MAPS/CHiCAGO, picking peak-to-all vs peak-to-peak, setting the loop FDR, supplying ChIP peaks as anchors, QCing a HiChIP library, or comparing loops between conditions.
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Calls significant loops from protein-directed and targeted 3C assays (HiChIP, PLAC-seq, Capture Hi-C/PCHi-C, ChIA-PET) where the contact background is peak-anchored and coverage-biased, so generic Hi-C loop callers (cooltools dots, Juicer HiCCUPS) use the wrong null. Covers FitHiChIP (config-driven coverage+distance-decay spline regression, peak-to-peak vs peak-to-all foreground, loose vs stringent background, coverage vs ICE bias), MAPS (positive Poisson regression on bias factors for PLAC-seq/HiChIP), hichipper (restriction-site-distance bias model + library QC), CHiCAGO (Delaporte two-component Brownian+technical background for asymmetric bait x other-end Capture Hi-C), the with/without separate-ChIP anchor decision, and differential loops via diffloop. Use when calling loops from HiChIP/PLAC-seq/Capture Hi-C, choosing FitHiChIP/MAPS/CHiCAGO, picking peak-to-all vs peak-to-peak, setting the loop FDR, supplying ChIP peaks as anchors, QCing a HiChIP library, or comparing loops between conditions.
中文简介正在准备中。当前显示原文说明。
ABP Framework cross-cutting patterns including authorization, background jobs, distributed events, multi-tenancy, and module configuration. Use when: (1) defining permissions, (2) creating background jobs, (3) publishing/handling distributed events, (4) configuring modules.
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Implements background work. BackgroundService, IHostedService, lifecycle, graceful shutdown.
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Designs background job processing systems with queue integration (BullMQ/Celery), job definitions, retry policies, exponential backoff, idempotent execution, and monitoring hooks. Use when implementing "background jobs", "task queues", "async processing", or "job workers".
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按条件筛选GitHub的Issue,交给后台智能体完成修复、测试和PR创建。工作流会检查重复任务,也支持处理审核意见并定期监测新问题。
将进行中的对话整理为交接摘要,移除敏感信息,明确后续重点、参考资料和建议技能,再启动新的后台智能体,从当前工作目录继续处理任务。
通过官方文档、源代码、规范及提供方的 API 核实问题,由后台智能体将调查结果汇总为一份 Markdown 笔记,为每项论述附上来源并保存到代码仓库。
为Node.js、Express和Next.js服务端开发提供模式,涵盖API设计、数据查询、缓存、认证与错误处理,并示范如何将数据访问和业务规则分层。
用于设计和检查Node.js、Express、Next.js的API及数据处理,提供职责分离、数据库查询优化、缓存、身份验证、权限检查和后台处理的实现示例。
Build or review Java Spring Boot backends using examples for web APIs, separate application layers, and database access. Covers input validation, error handling, caching, background processing, and logging to guide maintainable implementations.
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通过Hermes在后台点击、输入、滚动和拖动桌面应用,尽量不打断用户当前操作。每次操作后检查界面,遇到无响应时确认结果并切换操作方式。
将Anthropic的品牌配色和字体应用于制作内容,统一标题与正文的字体,根据背景调整文字颜色,并为图形设置一致的强调色。
通过对话完成提案、规格文档和决策记录,从梳理背景、逐节起草到读者验证。让不了解写作过程的Claude阅读,找出解释不足和含糊之处。
调查并修复浏览器、API、命令行工具及后台任务中的故障,验证修复结果。可选择三档检查范围,并汇总修复依据与是否适合发布的判断材料。
调查浏览器、API、命令行工具及后台任务等环节的故障,整理包含复现步骤和依据的结构化报告,专注于调查与报告,不修改代码。
整理短篇宣传音乐、背景音乐、旁白或音效的需求,按用途调用相应的音频生成模型,并将生成的MP3或WAV文件保存到项目中。
为现有OD Next计划准备所需图片等素材,复用已确认可用的功能和合适素材,完成获取、尺寸检查及异步结果收集,同时保留内容、许可与质量要求。