1.1万 件 ・ 関連度順
概要と使いどころ
The moi workspace — the web UI the user chats from, extended with agent-authored applets (widgets, views) plus theme & config. Read this FIRST when a message carries a hidden moi-context envelope or the user uses moi vocab such as workspace, applet, widget, view, scratchpad, dashboard, or a `moi` command, or asks to build, edit, customize, or theme the workspace UI or its layout.
日本語の概要は準備中です。原文の説明を表示しています。
Mine a per-kernel optimization trace — a git repository capturing successive versions of one kernel being optimized — into structured, gate-validated optimization-experience records for the GPU kernel wiki. Use when asked to distill an optimization run, a kernel_opt trace directory or a version ladder into wiki records; to report what such a run actually achieved; to build, extend, re-run or validate the staging store behind those records; or to explain how a trace-derived record's number, snippet or provenance was established.
日本語の概要は準備中です。原文の説明を表示しています。
Designs the public interface of a module before any implementation exists: writes the caller scenarios first, produces three candidates with genuinely different shapes, type-checks each one against the scenarios, scores them on measurable criteria and records the decision. Use when someone says "design the API for this module", "what should this signature look like", "compare interface options", "this function is awkward to call", "show me alternatives before I build it", or is about to add a module, library entry point, endpoint or command that other code will depend on.
日本語の概要は準備中です。原文の説明を表示しています。
Aceternity UI is a collection of animated React components (3D cards, spotlight, background beams, moving borders, wavy backgrounds) built with Tailwind CSS and the motion library, installed into your project as source through the shadcn CLI. Use when someone asks for "animated hero section", "3D tilt card", "spotlight effect", "moving border button", "Aceternity component", or "glowing background" in a React or Next.js app.
日本語の概要は準備中です。原文の説明を表示しています。
Expert at organizing and optimizing monorepos. Covers Turborepo, Nx, pnpm workspaces, task orchestration, caching, and dependency management. Knows how to scale codebases without scaling build times. Use when "monorepo, turborepo, nx, pnpm workspace, shared packages, workspace, task caching, monorepo, turborepo, nx, pnpm, workspace, caching" mentioned.
日本語の概要は準備中です。原文の説明を表示しています。
World-class motion design expertise combining Disney's 12 principles of animation, Material Design's motion system, and the performance-first philosophy of production interfaces. Motion design is the craft of bringing interfaces to life - not through decoration, but through clarity, continuity, and communication. Great motion design is invisible. Users don't notice the animations - they notice that the interface feels natural, responsive, and alive. Every transition tells a story: where did this come from? Where is it going? What just happened? Motion is the language of cause and effect in digital interfaces. Use when "animation, motion, transition, microinteraction, easing, timing, choreography, loading animation, skeleton loader, page transition, hover effect, scroll animation, spring animation, keyframes, framer motion, gsap, lottie, animation, motion, transitions, microinteractions, easing, timing, accessibility, performance, frontend, design" mentioned.
日本語の概要は準備中です。原文の説明を表示しています。
Checkable-ish surface presentation signals a reviewer notices first — duplicate/near-identical tables, leftover pipeline/template strings, too-few or LLM-looking figures, and page-padding. AUXILIARY ONLY and weak by design: a deterministic pass (tools/check_presentation.py — dup-table + pipeline-artifact) plus a fresh cross-model GROSS-cases-only semantic pass (thin-float, LLM-figure, page-padding), every above-info finding span-anchored to the evidence ledger (claims.json). The adjudicator CAPS everything at minor (SURFACE_ONLY_SKILLS + SURFACE_PATTERNS) — these contribute at most SOFT_FLAGS, never a HARD verdict — default false_positive_risk:high. NOTE: the pure AI writing-STYLE impressions (AI-flavor prose, defensive 'not-X-but-Y' hedging, narrative-arc, jargon-stuffing, invented codenames) MOVED to the zero-verdict-weight AIS track — for those use skills/ai-style-impressions, NOT this. Emits presentation-signals.findings.json; NEVER computes the verdict. Triggers: "presentation signals", "surface check", "duplicate tables", "排版信号".
日本語の概要は準備中です。原文の説明を表示しています。
Use when an agent needs to join tiny.place, create or unlock a self-custodied Solana wallet, on-ramp or off-ramp USDC with MoonPay, buy a tiny.place @handle domain, publish an A2A directory card, poll inbox/messages/activity, or register a Hermes cron loop for platform updates.
日本語の概要は準備中です。原文の説明を表示しています。
E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".
日本語の概要は準備中です。原文の説明を表示しています。
Suede AI full-stack surface builder that runs design, copy, and visual QA as one pass: landing pages, brand surfaces, product UI, dashboards, campaigns, launch pages, and reference-to-target restyles (suedify). Use when a build needs layout and words together, when a redesign or launch surface has to ship end to end, when the request is 'make this site look like that one', or when design, copy, asset, and QA lanes have to move at once. NOT FOR: a design-token, dark-mode, or single-component decision (use suede-design); copy with no layout work (use johnny-suede-write, or suede-copy for one standalone conversion surface); conversion and funnel architecture (use suede-site-alchemy); multi-agent orchestration protocols, WIP protection, and rollback trees (use suede-agent-teams).
日本語の概要は準備中です。原文の説明を表示しています。
Analyze production Agentforce agent behavior using session traces and Data Cloud, and manage Agent Health Monitoring (AHM) alerts. TRIGGER when: user queries STDM session data or Data Cloud trace records; investigates production agent failures, regressions, or performance issues; asks about session traces, conversation logs, or agent metrics; wants to reproduce a reported production issue in preview; runs findSessions or trace analysis queries; creates, lists, updates, or deletes an AHM data alert on an agent metric (escalation rate, deflection, etc.); asks why an alert is not firing or wants to check whether alerts have fired (notification counts, or the per-alert Incidents view). DO NOT TRIGGER when: user creates, modifies, or debugs .agent files during development (use agentforce-generate); writes or runs test specs (use agentforce-test); uses sf agent preview for local development iteration; deploys or publishes agents.
日本語の概要は準備中です。原文の説明を表示しています。
Act as a product-manager copilot that turns evidence into product decisions and artifacts: backlogs and prioritization, PRDs and user stories, metrics and OKRs, experiments, launch plans, feedback triage, and pricing/packaging, kept in a per-product workspace. Use whenever the user wants to decide what to build, spec it, or ship it: "write a PRD for…", "prioritize our backlog", "what should we build next", "plan OKRs", "define our north star metric", "design an A/B test", "plan the launch", "triage this customer feedback", "platform or feature?", in any language ("viết PRD", "ưu tiên tính năng nào", "quản lý sản phẩm", "プロダクト管理", "产品经理"), even when they never say "product manager". Also use when the user returns to a product workspace this skill created (a directory holding `product.md`, `state.md`, and `decisions.md`). Not for deep user discovery (design-thinking), desk market facts (market-researcher), or company-level bets (strategy-board).
Universal Digital Immortality Engine — Distill anyone or anything you care about into an interactive digital soul. 给灵魂开个 GitHub。 Trigger whenever user wants to: - Create, distill, or awaken a Relic, digital soul, persona, or clone from chat logs, memories, or voice ("create a relic", "digital twin of my grandma", "preserve memory of pet/team", "帮我唤醒/蒸馏/做个Relic", "保存/纪念XX的记忆", "Relicを作りたい/記憶を保存"). - Talk to, chat with, or remember a loved one, pet, mentor, or companion ("talk to grandma", "chat with my cat", "跟奶奶聊天", "召唤咪咪", "おばあちゃんと話したい"). - Preserve or distill workplace history, team culture, or expert knowledge ("archive team culture", "distill business expert", "飞书/Slack协作记忆蒸馏"). Supports: Humans, Pets, Relationships, Teams, Places, Moments, Public figures, Domain experts.
Design system that makes HTML output look like a professional consulting deliverable instead of default AI styling. Use WHENEVER generating any HTML document — report, analysis memo, proposal, research summary, dashboard, artifact — and when the user says 「HTMLで資料」「HTMLでまとめて」「レポートにして」「コンサル風に」「資料っぽく」「デザインがダサい」 or asks to restyle existing AI-generated HTML. Replaces boxes, borders, gradients, emoji and rainbow colors with whitespace-driven, typography-first, print-ready (A4) design.
Query Google Places for text search, place details, resolve, reviews, or scriptable JSON via goplaces.
日本語の概要は準備中です。原文の説明を表示しています。
Scout ONE external surface of the TouchDesigner community for what's HYPED in 2025-2026 that could become a tdmcp tool. Use when a td-trend-scout sub-agent is assigned a surface (community-showcase, tutorials, generative-ai, hardware-interactive, or vfx-aesthetics) during the tdmcp-hype-scout harness — produces `_workspace/hype-scout/01_scout_<surface>.md` with cited trend candidates ranked by hype intensity, recency, and build-ease in tdmcp.
日本語の概要は準備中です。原文の説明を表示しています。
Build, test, and lint Cadmus from a jj sibling workspace that has no .git (non-colocated checkout). Use when jj workspace root is a sibling tmp/agent workspace and builds fail with git submodule or .gitmodules errors, empty thirdparty/ sources, cache-marker misses, or missing sqlite.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates implied volatility surfaces with skew analysis, term structure dynamics, and surface fitting methodologies. Use when analyzing vol surfaces, assessing skew dynamics, or calibrating volatility models.
日本語の概要は準備中です。原文の説明を表示しています。
Identify the source of an image or video frame — TV show episode, movie scene, geographic location, or original publication. This skill should be used when the user asks to identify where an image is from, trace a screenshot back to its source, geolocate a photo, find what show or movie a frame is from, or do a reverse image search. Chains Google Vision, Picarta geolocation, and Gemini in parallel with graceful degradation. Triggers on: reverse image search, identify source, what show is this, where was this taken, trace image, identify video, what movie, which episode, geolocate photo, image source.
日本語の概要は準備中です。原文の説明を表示しています。
Spaced repetition and retrieval practice engine for the vault. Use when the user wants a review session, recall practice, to test what they remember, or to resurface notes. Triggers on "review session", "what should I review", "recall practice", "resurface notes", "spaced repetition", "quiz me", "what do I know about", "inbox triage", "surprise connection".
日本語の概要は準備中です。原文の説明を表示しています。
診斷並清理 macOS 磁碟空間，特別是「系統資料 / System Data」這類看不出內容的用量。涵蓋開發者工具殘骸（Xcode iOS DeviceSupport、Simulator runtime、DerivedData）、套件管理器快取（Homebrew、pnpm、pip、npm、cargo、go、uv）、容器與 VM 磁碟（Docker、podman、lima）、瀏覽器 profile、以及已移除 app 的孤兒 container。使用時機：(1) 使用者說磁碟快滿了、System Data 佔太多、想清空間 (2) 詢問某個資料夾或快取能不能刪 (3) 移除 app 後想清乾淨殘留檔案、完整解除安裝 (4) 想知道 Docker.raw、Group Containers、Library/Caches 這些是什麼、佔了多少。Also triggers in English — disk full, startup disk almost full, free up disk space, clean up Mac storage, what is System Data on my Mac, what is taking up space, safe to delete this cache, uninstall app leftovers, reclaim disk space, Docker.raw huge, Xcode taking too much space
日本語の概要は準備中です。原文の説明を表示しています。
Apple Human Interface Guidelines (HIG) に準拠した iOS アプリの UI を、 単一 HTML ファイルの「実際に動くインタラクティブプロトタイプ」として生成するスキル。 iPhone 15 Pro 相当のデバイスフレーム、ステータスバー、ナビゲーションバー、タブバー、 Inset Grouped リスト、モーダル/シート、アラートを iOS 純正の見た目で再現し、 タップ・スワイプ・入力・画面遷移がすべて動作する状態で出力する。 Claude Design / Artifact でそのまま開ける形式。 Use when: iOS アプリの UI を作りたい、アプリのモック画面が欲しい、 HIG 準拠のデザインを作りたい、iPhone 風のプロトタイプを作りたい、 アプリのデザイン案を可視化したい、App Store 提出用アプリの画面イメージを作りたい。 Triggers: "iOS アプリ UI", "iOS デザイン", "HIG", "Human Interface Guidelines", "iPhone モック", "アプリのモック", "iOS プロトタイプ", "アプリ画面を作って", "iOS UI プロトタイプ", "Claude Design", "ネイティブアプリ風", "アプリのデザイン"
Cut gemstones using cabochon and faceting techniques. Covers rough assessment, orientation for optimal color and yield, dopping, cutting angles, and crown/pavilion geometry for standard brilliant cuts. Use when you have rough gemstone material to cut into a cabochon or faceted stone, planning cutting orientation for optimal colour or optical phenomena, setting up a cabbing or faceting machine, or selecting the appropriate cutting approach for a given material.
日本語の概要は準備中です。原文の説明を表示しています。
Build reusable Shiny modules with proper namespace isolation using NS(). Covers module UI/server pairs, reactive return values, inter-module communication, and nested module composition. Use when extracting a reusable component from a growing Shiny app, building a UI widget used in multiple places, encapsulating complex reactive logic behind a clean interface, or composing larger applications from smaller, testable units.
日本語の概要は準備中です。原文の説明を表示しています。