Generates a single LinkedIn connection request message using Jay Abraham's Preeminence approach. Lead with their work, peer-to-peer tone, no pitch, under 300 characters.
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。
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概要と使いどころ
Generates a single LinkedIn connection request message using Jay Abraham's Preeminence approach. Lead with their work, peer-to-peer tone, no pitch, under 300 characters.
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。
Create slide presentations from topics, URLs, PDFs, git repos, or vault notes. Use this skill when the user asks to make slides, create a presentation, build a deck, or says "slides about X". Handles research, synthesis, outline, and creation. Default output is reveal.js HTML; pptx available on request. Also handles editing existing slide decks (HTML or pptx). Triggers on /slides, /slide-maker, or any request involving presentation creation.
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 uncertainty remains and the minimum useful sequence of questions should be asked.
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。
行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库(Story Bank);并能接入 JD + 简历,针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板(HTML 报告)。不是背答案,而是建立可复用的职业叙事体系,让任何行为面试题都能自然作答。关键词:behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。
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。
Apply WIT (Writing Is Thinking) as a human–LLM collaborative scientific reasoning skill for scientific question formulation, finding-driven research planning, next-experiment selection, Results or Discussion review, claim–evidence and reviewer stress tests, manuscript logic audits, deadline closure, and researcher growth. Use when the user invokes WIT or asks for these question-driven scientific reasoning workflows; do not use for generic copyediting, summarization, or literature search alone.
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。
Analyzes research papers (PDF/arXiv URL) and converts them into executable code. Automatically activated upon requests for paper replication, algorithm implementation, or research reproduction. Responds to requests like "Implement this paper", "paper2code", "Convert paper to code".
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。
SwiftUI のレイアウト落とし穴・ベストプラクティス・非推奨パターンと、 iOS / watchOS アプリの実機配布 (Provisioning / App Group / Code Signing / Apple Watch Developer Mode / Xcode 15+ Debug dylib) トラブルシューティング のガイド。コード生成・修正時に既知のレイアウトバグを防ぎ、 App Group + watchOS + Apple Watch の実機インストール失敗を 7 段階フレームワークで診断・解消する。 Use when: SwiftUI のコードを書く・修正するとき。 レイアウト崩れを修正するとき。safeAreaInset や ViewThatFits を使うとき。 マルチデバイス対応するとき。iOS + watchOS アプリの実機ビルド / 配布で provisioning / App Group / Manual Signing / Apple Watch の UDID / Xcode 自動署名の 罠に詰まったとき。Apple Watch に "Could not install at this time" が出たとき。 Triggers: "SwiftUI", "layout", "safeAreaInset", "ViewThatFits", "GeometryReader", "レイアウト", "崩れ", "表示バグ", "iPhone SE", "ATT", "ATTrackingManager", "requestTrackingAuthorization", "AdMob", "広告", "Provisioning Profile", "App Group", "Manual Signing", "Code Signing", "Apple Watch", "watchOS", "Install できない", "Could not install at this time", "Bundle ID 紐付け", "Xcode Automatic Signing", "embedded.mobileprovision", "Spaceship", "App Store Connect API", "WKCompanionAppBundleIdentifier", "Developer Mode", "Privacy & Security", "watchOS Developer Mode", "Apple Watch に App を入れられない", "整合性を確認できなかった", "integrity check", "ENABLE_DEBUG_DYLIB", "__preview.dylib", "debug.dylib", "Xcode 15 Preview", "SwiftUI Preview dylib", "ENABLE_PREVIEWS", "AppIntents", "AppShortcut", "AppShortcutsProvider", "AppEntity", "AppEnum", "Siri", "Siri に流れる", "Siri がリマインダーに流れる", "updateAppShortcutParameters", "Invalid parameter type", "Invalid Utterance", "applicationName", "CFBundleDisplayName", "CFBundleSpokenName", "TaskEntityQuery", "AppEntityQuery", "TimelineProvider", "recommendations", "WatchConnectivity", "WCSession", "updateApplicationContext", "sessionDidBecomeInactive", "iPhone と Watch でデータ共有", "App Group 共有できない", "scenePhase", "ポーリング", "watchOS バッテリー", "TextField 文字色 watchOS", "Picker 文字色 watchOS", "Single Size AppIcon", "watchOS AppIcon"
Contribute to OpenClaw ecosystem projects (OpenClaw, NemoClaw, NanoClaw) through a structured 9-step workflow: target verification, codebase exploration, parallel audit, finding cross-reference, and pull request creation. Emphasizes false positive prevention and project convention adherence.
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。
Consolidated Laravel project conventions: Action pattern, Form Requests, Policies, routing, Inertia integration, code style. Apply when: writing or reviewing Laravel backend code (controllers, actions, requests, policies, providers). Activated automatically by laravel-plugin/stack.md as a convention skill for the development phase.
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。
Generates a complete, professional client onboarding package for AI consultants, AI auditors, and solopreneurs working in the AI space (AI strategy, automation, AI readiness audits, implementation, training, etc.). Use this skill whenever a user asks to onboard a new client, set up a client folder, write a welcome email, generate a discovery questionnaire, draft a service agreement, or create a project brief — especially in an AI consulting context. Also trigger when the user says things like "I have a new client", "prepare onboarding docs", "create a client package", or "set up a new project". Produces four ready-to-use deliverables: intake questionnaire, welcome email, service agreement, and project brief.
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 a human directly requests review and publication of an existing diff or delegated work. Not for merging pull requests, force pushes, history rewrites, or deployment.
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 asked to commit and push a feature branch, with or without a pull request. Its no-PR mode publishes without a PR. Not for a PR body alone: use create-pull-request.
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 a maintainer or collaborator explicitly asks to review and land one external pull request. Don't use for internal pull requests or landing without preserving contributor authorship.
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。
Investigate a bounded Proto UI Contract, Prototype, Module, Host Capability, Adapter, schema, or ownership question and turn a genuinely unresolved direction into one semantic decision packet. Use for spec brainstorming, admission questions, competing semantic models, uncataloged behavior, or unresolved cross-layer boundaries.
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。
Elicit and challenge data-analysis requirements before querying. Use when the user asks ambiguous data questions, requests business/report answers, needs metric definitions clarified, or may be drawing decisions from incomplete data.
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。
Run the Codex Optimized Development, Evaluation, and Remediation (CODER) Loop with an orchestration-only coordinator, non-overlapping task-family owners, fresh independent reviewers, evidence-scoped remediation, and final coordinator acceptance. Discover and compose optional MSW, Timebox, MSL, and Codex Voice Optimizer companions as the Slopware Dev Stack without making them dependencies. Use in Codex when the user invokes the CODER Loop, asks to divide a complex change into bounded implementation families with independent reviewers, requests multi-agent implementation without overlapping ownership, requires review and repair until every blocking gap is independently rechecked, asks for the CODER tutorial or Slopware Dev Stack, or wants CODER to install or use its companions. Do not trigger for an ordinary single-agent change, a review-only request, or a non-Codex host.
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。
Elicit and challenge data-analysis requirements before querying. Use when the user asks ambiguous data questions, requests business/report answers, needs metric definitions clarified, or may be drawing decisions from incomplete data.
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。
When the user wants help with pricing decisions, packaging, monetization strategy, or subscription models. Also use when the user mentions 'pricing', 'price', 'monetization', 'freemium', 'Van Westendorp', 'how much should I charge', 'pricing tiers', 'good-better-best', 'SaaS pricing', 'subscription model', 'free vs paid', 'packaging', 'pricing page', 'annual vs monthly', or is deciding between free and paid models. Make sure to use this whenever someone is making ANY pricing decision — even questions like 'should I charge for this?' or 'is freemium right for us?' or 'my conversion rate is low, is it the price?' are pricing strategy questions. Covers value-based pricing, tier structure, price psychology, and competitor benchmarking.
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。
Programmatic React video best practices for Remotion. Use this skill whenever the user is writing, debugging, or rendering Remotion code — compositions, useCurrentFrame animations, interpolate, spring, Sequence timing, <Img>/<Video>/<Audio> from @remotion/media, staticFile, calculateMetadata, the Studio preview, `npx remotion render`, captions, subtitles, voiceover, audio visualization, ffmpeg, transitions, light leaks, transparent video, Lottie, 3D scenes, Mapbox flyovers. Triggers especially on HtmlInCanvas / "html in canvas" requests, CRT terminal effects, glitch effects, video shaders, WebGL video, and any request to scaffold a new programmatic React video. Owns `remotion render` and everything about Remotion code. Do NOT trigger for finished MP4 ad assembly from existing slides (that is `/video-content`) or for the inspiration-to-MP4 reference-video pipeline (that is `/cmo-video`).
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。
A senior marketing operator for any project. Orchestrates 76 marketing skills to build brands, generate content, and distribute across channels. Use this skill whenever the user wants to do marketing - brand voice, copy, SEO, email, social, launches, or anything marketing-related. Also triggers on 'help me market', 'write copy', 'launch strategy', 'brand voice', 'SEO', 'content', 'email sequence', 'social posts', 'landing page', 'grow', 'audience', 'competitors', 'what should I do next for marketing', 'I need more users', 'how do I get people to care', or any marketing request. When in doubt about which marketing skill to use, start here - even if the user's request is vague or doesn't explicitly mention marketing.
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。
把一个目标/主题/文章/截图/数据转成有观点、有节奏、有视觉约束的单文件 HTML 演示(网页 PPT、科技战报、产品拆解、行业观察、路演/发布会 deck、社媒可传播长图)。**7 套各锚定公认设计体系的视觉人格**——技术崇高派 Technical Sublime(工程冷光·技术战报/算力)/ 构成主义 Constructivism(宣言/号召)/ 信息·数据设计(Tufte·数据/图表)/ 判断震慑极简 Luxury(高端品牌/判断)/ De Stijl 新造型(标准/秩序)/ 编辑主义 Editorial(衬线·深度观察)/ 演示禅 Zen(暗墨·思想/品牌 keynote)——用户可指定,否则按内容自动判选并透明告知。token + validator 机检(P0/P1/P2)+ 32 维审计**机器强制设计一致性**;反伪造(不造数据/logo/截图/来源·示意标注);字体本地子集;图按角色路由(默认 CSS/SVG·要图先探测生图环境)。Generates single-file HTML decks with 7 design-system-anchored visual personas, a semantic layout grammar, locked design tokens, evidence-grading, machine validation (P0/P1/P2 + 32-dimension audit), an anti-fabrication discipline, and image-generation environment detection. Use when the user wants a presentation / deck / slides / 网页 PPT / 战报 / 产品拆解 / 行业观察 / 路演 / 发布会 / 社媒长图, or asks to turn an article / screenshot / dataset into slides. Do NOT use for large data-table training material, strict legal/medical/financial compliance documents, multi-author collaborative PPT editing, plain-text summaries, requests to replicate a brand's official keynote visuals, or any request to fabricate realistic-looking data / fake logos / fake screenshots / fake sources.
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。
Analyzes Perfetto traces to find the root cause of latency, memory, or jank issues in Android apps. Use when the user provides a Perfetto trace file and asks any question, ongoing investigation, or open-ended request to analyze its contents.
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。
Rate limiting for serverless and edge apps with the @upstash/ratelimit TypeScript/JavaScript SDK backed by Upstash Redis. Use when adding a rate limiter or throttling to an API route, Next.js middleware, Vercel Edge, Cloudflare Workers, or any HTTP endpoint; returning 429 Too Many Requests; choosing between fixed window, sliding window, and token bucket algorithms; limiting per user, IP, API key, or tenant with prefixes and custom keys; protecting login, signup, form, or AI endpoints from abuse, bots, and brute force; using deny lists, ephemeral caching, analytics, timeouts, and multi-region rate limits; or estimating the Redis command cost of rate limiting. Also use when the user says rate limit, rate-limiting, throttle, quota, request limits, or traffic protection.
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。
Do work in an Upstash Box, a sandboxed cloud container driven through the remote Upstash MCP server (mcp.upstash.com), instead of on the local machine. Use when the user asks to run, build, test, clone, or edit something remotely, in a sandbox, in the cloud, or in a box, when the deliverable is a pull request, a public preview URL, or a screenshot of a running app, when the local machine cannot deliver (no GitHub login for gh, no way to expose a port, a dirty or slow local checkout), when several independent tasks should run in parallel on separate machines, a code factory that turns a list of tasks into a list of pull requests, or when the deliverable is a video, screen recording, demo or timelapse of a browser, web app, terminal program or agent run. Applies whenever the session has the box_* and blob_* MCP tools, even when Upstash is not named.
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。