820 skills · sorted by relevance
Use Kanpeki component library in React projects. Activate when user wants to add, use, customize, or compose accessible UI components from Kanpeki (@kanpeki/*). Covers installation, component patterns, forms, theming, and dark mode with React Aria Components + Tailwind CSS 4.1 + CVA.
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Use single-quoted strings for multiline git commit messages in the Shell tool. Prevents heredoc escaping failures that produce garbled commit messages.
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How to upgrade `alchemy` and the `effect` constellation across this repo and keep them consistent for consumers: which packages pin what, why `effect` and every `@effect/*` companion move as one set, what breaks in a typical upgrade, and how to verify a standalone `npm install` still resolves a single `effect`. Use when asked to upgrade or bump alchemy or effect, when a deploy dies inside an alchemy provider with a `TypeError` naming a missing combinator, when `check:npm-effect-resolution` fails, or when deciding whether the alchemy patch is still needed.
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Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
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Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the Figma screen to match code', 'convert this modal/dialog/drawer/panel to Figma'. This is the preferred workflow skill whenever the user wants to build or update a full page, modal, dialog, drawer, sidebar, panel, or any composed multi-section view in Figma from code or a description. Discovers design system components, variables, and styles from Code Connect files, existing screens, and library search, then imports them and assembles views incrementally section-by-section using design system tokens instead of hardcoded values.
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Bridges UIKit and SwiftUI by wrapping UIKit views and view controllers in SwiftUI with UIViewRepresentable and UIViewControllerRepresentable, embedding SwiftUI in UIKit with UIHostingController, and coordinating delegate callbacks. Use when integrating camera previews, map views, mail compose, document scanners, PDF renderers, text views with attributed text, or other UIKit-only or third-party UIKit SDK surfaces into a SwiftUI app, or when migrating a UIKit app to SwiftUI incrementally.
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Use when: Router bridges your team and the remote team across Telegram. Classifies inbound messages from the remote agent, dispatches Builder or Tester as subagents, composes replies, and posts outbound state-change notifications.
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Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.
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Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
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Professional email drafting with appropriate tone and structure. Use when the user wants to write, compose, or draft an email.
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当面对一个开放现象、说不清"为什么会这样"时使用——IYPT 题目、实验里看到的奇怪行为、科研中待解释的观测。把现象拆成候选机制清单，用守恒量收支表检查有没有漏，为每个机制写出带指数的标度律，用同量纲的量级比较排出主导、次导与可忽略，再为每个机制配一个能真正分辨它的观测量（判据是指数或符号不同，不是系数不同）。产出的是可检验命题与实验建议，不是结论。
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当使用者说"把这几张照片拼成一页"、"拼成一张长图"、"这组照片排成一页 PDF"时使用。Arrange 3–9 finished photographs into a cohesive one-page series, contact sheet, long image, or PDF. Use when a user wants to sequence and present a photo set with consistent frames, gutters, and canvas treatment. Preserve the photographer's chosen order unless they explicitly ask for sequencing suggestions; do not infer artistic intent from pixels alone. For a publication or exhibition-board layout with bands, a lead photo per band and a credit per band, or more than 9 photos, use photo-spread-composer.
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当机制清单已经排好、需要给每个机制配数值锚点并合成一个站得住的量级结论时使用。把估算写成显式的因子分解，每个因子给低／中／高三值与证据档位，算出区间而不是装饰性的小数位，再与参考区间和守恒量核对。worksheet 的结构与算术由 scripts/check_estimate.py 校验。不负责发现或排序机制——那是 physics-mechanism-decomposer 的事。
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当使用者说"把这些照片排成一版"、"做一张照片展示海报"、"仿报纸摄影版那种排版"、"这组照片怎么摆"、"做个 photo essay 的版面"时使用。输入一组照片加署名，分两步：先产出 spread-plan.md（分带、定主次、排序、每带的图注与署名、被舍弃的照片及原因），等确认后再产出单文件 spread.html（照片按需缩放并内联，可打印成 PDF）。这个 skill 不提供固定版式——它给的是带状构图的语法与协议，具体谁大谁小、分几带、怎么排由模型和使用者判断。每张照片必须有署名，分辨率不足会被拦下。只想把自己拍的 3–9 张按原顺序拼成一张长图、网格或一页 PDF，不要分带主次和署名时，用 photo-series-layout。
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Author, save, and edit email templates in the PostHog workflows library — compose email design JSON with Liquid personalization and create and round-trip-edit templates over MCP. Use when asked to design, build, update, or fix an email template for workflows, broadcasts, or campaigns.
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Dockerize an application with a production-ready Dockerfile, docker-compose setup, and .dockerignore.
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Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
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Generate the success criteria for a task or question, then review work against them. Given a task, goal, or open-ended question, decompose it into scenarios, evaluation perspectives, and fine-grained weighted YES/NO criteria using the Recursive Expansion Tree (RET) method; if work is supplied, score it criterion-by-criterion and surface what is missing or could be better. Use when asked to self-review or check your own work, judge whether a task is done well or completely, build a definition-of-done or completeness checklist, create an evaluation rubric or grading criteria, score or grade answers to a question, set up an LLM-as-judge rubric, or when the user mentions self-review, completeness check, success criteria, evaluation criteria, scoring rubric, Qworld, or the RET algorithm.
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PM planning workflow — analyze requirements, select tech stack, decompose into prioritized tasks with dependencies, and define API contracts
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Remove the background from a raw product photo, then compose it into a branded listing card with the product name and price.
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Optimize a product photo and compose it into a promotional banner with sale text and pricing.
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TanStack Virtual (React 仮想スクロール、@tanstack/react-virtual) の API リファレンス。 useVirtualizer, useWindowVirtualizer, Virtualizer, VirtualItem, estimateSize, measureElement, rangeExtractor, overscan, lanes, getVirtualItems, getTotalSize, scrollToIndex。固定/可変/動的計測、grid、sticky header、infinite scroll、table、 window scroll 仮想化。別名 react-virtual, virtual-core。 react-flow / Compose LazyColumn / WinUI ListView とは別（DOM 向けヘッドレス仮想化）。
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Android アプリ開発 (Kotlin) の Media3 / CameraX リファレンス。androidx.media3, androidx.camera。 ExoPlayer, HLS / DASH / RTSP / SmoothStreaming, HlsInterstitialsAdsLoader, CMCD, MediaSession, MediaSessionService, MediaLibraryService, DRM, Compose UI (PlayerSurface), ProcessCameraProvider, CameraSelector, ImageCapture, ImageAnalysis, VideoCapture, CameraInfo, CameraX Extensions, Camera2 Interop, Camera1 移行。
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Wear OS (Kotlin) の androidx.wear API・Watch Face Format (WFF) リファレンス。 Wear Compose の CurvedLayout, rotary input, ambient mode, one-handed gestures, ScalingLazyColumn。 Tiles / Material3TileService / ProtoLayout, ComplicationDataSourceService と ComplicationData 型, Health Services (MeasureClient, ExerciseClient, PassiveMonitoringClient), Data Layer (ChannelClient), WFF の XML 要素・式・コンプリケーションスロット・ユーザー設定・Watch Face Designer。
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