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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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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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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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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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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Use when building PHP applications with modern PHP 8.3+ features, Laravel, or Symfony frameworks. Invokes strict typing, PHPStan level 9, async patterns with Swoole, and PSR standards. Creates controllers, configures middleware, generates migrations, writes PHPUnit/Pest tests, defines typed DTOs and value objects, sets up dependency injection, and scaffolds REST/GraphQL APIs. Use when working with Eloquent, Doctrine, Composer, Psalm, ReactPHP, or any PHP API development.
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Provides expert knowledge for building modern native Android apps using Kotlin, Jetpack Compose, Material Design 3, MVI architecture, Hilt dependency injection, and Media3/ExoPlayer.
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Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journal submission.
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Decompose total effects into direct and indirect paths through mediators using mediation, CMAverse 4-way, HIMA/HIMA2 high-dimensional, BAMA, two-step / MVMR mediation, or double-ML medDML. Use when testing whether a molecular phenotype (expression, methylation, protein) mediates a treatment-outcome relationship, decomposing exposure-mediator interaction via VanderWeele 4-way, screening high-dimensional EWAS mediators, or running MR-based mediation when sequential ignorability is implausible.
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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.
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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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Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
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Use when: User wants to extend Docker with custom tools, personalize the Docker environment, or set up user-specific Docker customization. Triggers: 'extend docker', 'docker-extend', 'add tools to docker', 'customize docker', 'add my tools to the container', 'personalize docker setup', 'docker user setup', 'install tools in docker'. Does: Interactively sets up Dockerfile.user and docker-compose.override.yml so users can add personal tools to their Docker environment without affecting maintainer files or committing user-specific config to git.
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Skill for direct usage of Reka UI v2 headless primitives (the foundation of shadcn-vue). Use when you need to compose custom components beyond those available in shadcn-vue, understand asChild/as, controlled state, portals, or migrate from Radix Vue.
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Skill for scaffolding, installation, and composition of shadcn-vue components (based on Reka UI v2). Use when you need to install components, understand Vue variants, compose patterns with vee-validate/Zod, or adapt existing components. Stack: Vue 3 + Reka UI v2 + Tailwind CSS.
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