2.7万 个 · 按相关度排序
Keeps CopilotKit documentation aligned with released Inspector panels, the views shown in its local web overlay. It updates reader guidance and panel mappings when panels change, and checks quickstart instructions against supported platforms.
中文简介正在准备中。当前显示英语简介。
Diagnoses storage failures in GKE, Google's managed Kubernetes service, including stuck Pods, disk attachment errors, storage pressure, and missing volume expansion. It provides diagnostic commands and reviewable configuration patches for deployment through GitOps.
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Configure Django file storage on AWS S3 using django-storages and boto3. Separate public and private files, create temporary download or upload links, configure CloudFront delivery, and test storage behavior without accessing real S3 buckets.
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Set up model training with torchforge for reinforcement learning, where rewards guide improvement. Covers training configurations, custom reward and loss functions, and distributed execution with Monarch and TorchTitan, keeping algorithm experiments separate from infrastructure concerns.
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帮助编写和检查PyTorch模型与训练代码，涵盖数据加载、实验可复现性、训练状态保存与恢复，并提供改善GPU显存占用和运行速度的方法。
通过 Orca 操作 macOS 上已启动的 iOS Simulator，查看设备画面，执行点击、手势、文字输入和屏幕旋转，并检查界面元素层级，验证应用修改。
将项目中的Storybook相关软件包统一升级至指定版本，自动处理配套依赖；可选择稳定版或开发中构建，在外部应用中验证变更或复现问题。
Build and debug Apify Actors, cloud programs for web scraping, automation, and data processing. Get guidance on language templates, input and output schemas, runtime code, local testing, and deployment, with practices for handling credentials and external data.
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Audit Azure Storage settings for public containers, encryption, access permissions, network restrictions, and logging gaps. Use command-line checks and monitoring alerts to produce findings and remediation guidance across subscriptions.
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The art and science of narrative-driven brand communication. This skill transforms brand messages into compelling stories that connect emotionally, build memory, and drive action. In a world of infinite content, story is the only thing that cuts through. Great brands don't sell products—they tell stories. Apple tells the story of creative rebels. Nike tells the story of human potential. Patagonia tells the story of environmental stewardship. This skill teaches you to find, craft, and tell your brand's story across every touchpoint. AI amplifies storytelling capability—generating variations, adapting across channels, maintaining consistency—but the human insight that identifies the true story remains essential. This skill bridges narrative craft with AI execution. Use when "story, storytelling, narrative, brand story, origin story, hero journey, emotional connection, customer story, testimonial, case study, brand film, about us, storytelling, narrative, brand-story, emotional, hero-journey, content" mentioned.
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Search TikTok e-commerce creator leaderboards via Kalodata and query detailed profiles for specific creators. Supports viewing top-performing influencer-sellers by region, currency, language, and date range, and using creatorId to retrieve follower count, video/live revenue and GPM, contact information, and associated shops. Trigger when users mention TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, TikTok creator profile, creator homepage data, creator contact info, TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, creator analytics, kalodata creator search/detail. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok creator leaderboards or detailed sales performance data for a specific TikTok creator.
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/nix/store 配下の store path・ファイルを特定するときに必ず参照する。`find /nix/store` で名前を総当たりする前に読む。「あのパッケージの store path が知りたい」「nix-unit のバイナリはどこ」「flake input の実体パスを知りたい」「derivation の出力パスを取りたい」「store の中のこのファイルを探したい」「store path が実在するか確かめたい」といった場面が対象。/nix/store は数万エントリあり深さ無制限の find は完了しない（実測: 20秒でも終わらず出力ゼロ）。同梱の collect_store_lookup.sh が入力の種別判定・一意な解決・候補収集・実在確認までを決定論的に行うので、まずそれを実行してから分析する。nix-locate が返す path はローカルに存在しないことがあるという反直感的な挙動も、データとして検出される。
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通过Storybook、本番源代码及现有浏览器测试检查Paperclip界面变更，分别报告渲染、交互、视觉比较和生产环境验证结果。
Build Storybook page stories for SigNoz by mapping API requests, display states, and URL parameters. Use msw mock responses, which simulate API replies, and controls to inspect loading, errors, permissions, and other page states.
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Guides reinforcement learning, where models learn from rewards, using torchforge and PyTorch. Covers reward design, custom loss functions, and distributed training so researchers can experiment with algorithms while keeping infrastructure concerns separate.
中文简介正在准备中。当前显示英语简介。
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
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Search TikTok e-commerce store leaderboards via Kalodata and query detailed information for specific stores. Supports viewing high-ranking, high-sales TikTok Shop stores by region, currency, language, and date range, and using shopId to retrieve revenue, sales volume, on-sale product count, self-operated/affiliate/shopping mall channel revenue, and creator collaboration count. Trigger when users mention TikTok store ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok Shop store ranking, kalodata store search, kalodata store ranking, TikTok store detail, TikTok shop profile, store revenue, store sales, TikTok shop ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok shop detail, TikTok store detail, kalodata shop search/detail. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok store leaderboards or detailed data for a specific TikTok store.
中文简介正在准备中。当前显示原文说明。
NestJS decorator usage: built-in route/param/class decorators, custom decorators via `createParamDecorator` and `SetMetadata`, metadata reflection via `Reflector`. Apply when designing controllers, guards, interceptors, or custom decorators. Use this skill to: - Pick the right built-in decorator for routes, params, and DI. - Compose decorators (`@UseGuards(A, B) @UseInterceptors(C)`). - Build custom param decorators (e.g., `@CurrentUser()`). - Use metadata for role-based logic (Reflector + SetMetadata). - Avoid common decorator mistakes. Do NOT use this skill for: - General module/DI patterns (see nest-conventions). - GraphQL-specific decorators (see nest-advanced). - ORM entity decorators (see nest-data-layer).
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帮助应用迁移到Swift 6.2并设计并发代码，通过MainActor保护共享状态，解决数据竞争编译错误，梳理协议遵循，并将高负载计算显式移至后台执行。
汇集使用Kotlin和Ktor构建HTTP服务器的结构与实现示例，涵盖API路由、认证、JSON转换、组件组装、双向通信及集成测试。
读取此前通过/context-save保存的工作状态，从中断处继续。优先查找当前分支，也支持其他分支及Conductor工作区交接。
将Paperclip的Storybook界面示例与实际产品及功能清单对照，整理数据、分类和引用，保留示例标识与链接，并区分当前功能示例、原型和历史探索。
按Storybook规范创建供审核变更的草稿拉取请求，整理标题、必需标签和正文模板，并提供其他维护者能够复现的手动测试步骤。
Plan product listings across startup, SaaS, AI, and MCP directories. Assess launch readiness, choose relevant sites, prepare tailored descriptions, and track submissions, published links, and referral results in a structured workflow.
中文简介正在准备中。当前显示英语简介。