1.6万 件 ・ 関連度順
Use Kanpeki component library in React projects. Activate when user wants to add, use, customize, or compose accessible UI components from Kanpeki (@kanpeki/*). Triggers: shadcn CLI, copy-paste components, Field.Root, composeRenderProps, ~/components/ui/*, React Aria Components + Tailwind CSS 4.1 + CVA. Covers installation, component patterns, forms (React Hook Form, TanStack Form), theming, and dark mode.
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。
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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。
Adapt torch_npu.profiler interface for AI frameworks and training/inference code on Ascend NPU. Use this skill whenever users need to integrate profiling, add performance data collection, or instrument PyTorch code with torch_npu.profiler on Huawei Ascend NPU platforms. Triggers on: "torch_npu profiler", "NPU profiling", "Ascend profiler", "profiler adaptation", "profile training", "profile inference", "add profiler to framework", "性能采集", "profiling 数据", "昇腾 profiler", and any request to add performance monitoring to Ascend NPU 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。
Launch a product across 56 platforms — generates all copy, tracks submissions, and guides launch day operations. Use this skill whenever someone wants to submit to directories, get backlinks, launch on Product Hunt or Hacker News, run an AppSumo campaign, or needs help getting their product in front of users. Also triggers on: 'I just built something and want people to know', 'how do I get users', 'where can I submit my SaaS', 'get backlinks for my product', 'multi-platform launch', 'directory submissions', 'startup launch playbook', 'submit everywhere', 'launch across platforms'. This is the operational launcher — it does the work. For high-level launch strategy and phased planning, see launch-strategy.
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。
Design, write, and grow editorial newsletters with consistent voice and format. Creates newsletter strategy, templates, and growth playbook. Use when someone wants to start a newsletter, improve an existing one, grow subscribers, write a newsletter issue, plan newsletter content, or set up on Substack, Beehiiv, Ghost, or ConvertKit. Triggers on 'newsletter', 'editorial', 'weekly email', 'subscriber growth', 'newsletter template', 'email digest', 'Substack', 'Beehiiv', 'newsletter strategy', 'newsletter issue', 'recurring email', or 'email content'. Even if they just say 'I want to email my audience regularly' or 'start a weekly email', this is the skill. Covers curated, editorial, and hybrid formats with referral programs, platform guidance, and engagement metrics.
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。
Write accessible HTML, CSS, and JavaScript that conforms to RAWeb 1.1 (Luxembourg Web Accessibility Framework, based on EN 301 549 / WCAG 2.1). Use when developing web interfaces, components, forms, navigation, or any front-end code that must meet Luxembourg accessibility law. Covers all 17 RAWeb themes with code-level guidance, accessible patterns, and anti-patterns. Default conformance target: Level AA.
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。
Develop accessible mobile applications (iOS and Android) conforming to RAAM 1.1 (Luxembourg Mobile Accessibility Assessment Framework, based on EN 301 549 v3.2.1 / WCAG 2.1). Use when building native mobile apps, React Native, Flutter, or any mobile UI that must meet Luxembourg accessibility law. Covers all 15 RAAM themes with platform-specific code guidance. Default conformance target: Level AA.
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 the open-source free `CSharpier` formatter for C# and XML. Use when a .NET repo intentionally wants one opinionated formatter instead of a highly configurable `dotnet format`-driven style model.
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 AI performance review assistance systems. TRIGGERS - Use when user needs help with ai-performance-reviewer related tasks.
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 AI performance monitoring. TRIGGERS - Use when user needs help with ai-performance-monitor related tasks.
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 AI form auto-fill systems. TRIGGERS - Use when user needs help with ai-form-filler related tasks.
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。
Update an EXISTING Tip in the ai-product-dev-tips repository — edit its README, add or fix code, refresh outdated information, fix mistakes — while keeping the repo's format conventions and syncing the root README link. Use this whenever the user wants to update, edit, fix, revise, refresh, correct, or complete an existing Tip in this repo — e.g. "nlp_processing/29 の README を更新して", "〇〇の Tip を最新仕様に直して", "image_processing/11 の説明を修正して", "あの Tip のリンク切れを直して", "この Tip を完成版にして". It locates the target Tip, studies the current format conventions (shared with the ai-product-dev-tips-create skill), applies consistent edits, verifies the content with web research (no fabrication), and syncs the root README link (title text / [In-progress]). This is for UPDATING existing Tips, not creating new ones — to add a brand-new Tip use the ai-product-dev-tips-create skill instead. Trigger this even if the user doesn't say "skill".
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。
Control and interact with a live browser session on any scraped page — click buttons, fill forms, navigate flows, and extract data using natural language prompts or code. Use when the user needs to interact with a webpage beyond simple scraping: logging into a site, submitting forms, clicking through pagination, handling infinite scroll, navigating multi-step checkout or wizard flows, or when a regular scrape failed because content is behind JavaScript interaction. Also useful for authenticated scraping via profiles. Triggers on "interact", "click", "fill out the form", "log in to", "sign in", "submit", "paginated", "next page", "infinite scroll", "interact with the page", "navigate to", "open a session", or "scrape failed".
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 the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
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 this skill when the user wants a Chinese adult-oriented turn-based text GalGame GM with harem formation, freeform narrative roleplay, natural-escalation yellow-fiction text adventure, multi-character relationship drama, story memory, or novel export. Trigger on requests for 后宫养成, 后宫, 养成, 多女主, 多男后宫, 黄色爽文, 自然流YY文字游戏, 成人向文字冒险, 回合制文字冒险, GalGame, 后宫互动, 逐步升温剧情, 暧昧开局, 自定义身份卡, 文档记忆, 小说导出, 女性向剧情, or any Chinese freeform narrative game where the user wants adult consenting characters, gradual escalation, strong character routes, and long-running continuity.
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。
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.
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。
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.
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。
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
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。
Standardized output formats for research, planning, implementation, and review agents. Use when generating agent outputs or parsing agent responses.
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 Flutter specialist mastering Flutter 3+ with modern architecture patterns. Specializes in cross-platform development, custom animations, native integrations, and performance optimization with focus on creating beautiful, native-performance applications.
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。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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。
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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 you need Liberty91 platform intelligence — what actually happened (deduplicated Threat Events with every source, Admiralty reliability/credibility and verification stage), whether an IOC is already known to your account, the canonical threat library (actors, malware, vulnerabilities, clusters, ATT&CK TTPs), alert matches, or which of your customer organizations an occurrence affects — or when you need to push intelligence back: ingesting your own report, generating an intelligence package, or uploading an organization document. Also supplies event provenance fields, when the platform returns them, and Threat Library alias resolution to /source-provenance and /quality-of-information-check. Two-way, first-party integration. Commonly invoked by /ip-investigation and friends, /ioc-enrichment-workflow, /threat-actor-profiling, /campaign-tracking and /vulnerability-intelligence. Reads $LIBERTY91_API_KEY.
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。
Optimize oversized agent instruction files using progressive disclosure. Handles CLAUDE.md (Claude Code), AGENTS.md (OpenAI Codex / GitHub Copilot agents), and copilot-instructions.md (GitHub Copilot). Auto-detects all three formats in your repo, analyzes content tiers, creates sub-documents using each format's native mechanism, and rewrites the main file with zero information loss. Triggers: optimize CLAUDE.md, AGENTS.md too long, reduce copilot-instructions.md, agent instructions file too large, shrink context file, apply progressive disclosure, instructions file bloated
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。