2,400 件 ・ 関連度順
概要と使いどころ
TikTok Shop / 抖音 / 视频号 / 小红书 / 淘宝主图视频 / Amazon 规格导出：把一条母版视频一键转成各平台推荐画幅与编码（9:16、3:4、1:1、16:9，模糊填充或智能裁切），输出规格报告，并可叠加 UI 安全区预览。Use when the user asks for export settings, 导出规格, 尺寸, 分辨率, 画幅, 上传要求, re-encode for TikTok Shop / Douyin / WeChat Channels / Xiaohongshu / Taobao / Amazon, or safe zones.
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。
Transform ChatGPT ZIP exports into ACSets (Attributed C-Sets) for:
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。
Export AMP threads as markdown and fork continuation paths. Use when managing AMP conversation threads, exporting thread history, or branching thread execution across skills.
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。
Combines AMP thread export with GF(3)-classified continuation for skill orchestration. Export threads as markdown, classify continuation choices as {-1:reductive, 0:neutral, +1:generative}, and fork parallel execution paths.
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。
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.
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。
Turns a raw Qualtrics conjoint export into an analysis-ready long-format dataset, covering export settings, identifying the implementation, package or manual wide-to-long reshaping, choice-profile alignment, ratings, reference categories, pilot exclusion, and subgroup merges. Use when the user has a conjoint CSV to clean, reshape, or debug, cannot align choices with profiles, or asks what the data must look like before AMCE estimation. Design goes to conjoint-design, validity review to conjoint-diagnostics.
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。
Lets agents operate Google NotebookLM/Gemini Notebook through a Python API, CLI, skill, MCP server, or REST server to create notebooks, add sources, ask cited questions, generate artifacts, and download exports.
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。
Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.
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。
Audit any Supabase project for security vulnerabilities, RLS misconfigurations, exposed API keys, auth bypasses, and storage issues. Use this skill whenever the user mentions Supabase security, RLS policies, database security audit, security review, penetration testing a Supabase app, checking if their database is exposed, hardening their Supabase project, fixing RLS, or anything related to securing a Supabase or vibe-coded application. Also trigger when the user asks about securing apps built with Lovable, Bolt, Replit, Cursor, or any AI coding tool that uses Supabase as a backend. Even if the user just says 'is my app secure' or 'check my database' and their project uses Supabase, use this skill. (DEPRECATED: this skill is a backwards-compat shim. Prefer the multi-backend `database-sentinel` skill, which covers Supabase plus Firebase, MongoDB, self-hosted Postgres, and self-hosted MySQL.)
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 says 'export my site', 'backup my pages before editing', 'download my content locally', or 'migrate content to my other site'. Exports pages, posts, and custom posts to portable local packages with builder data, media, and markdown, then imports elsewhere with ID remapping.
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。
Converts a Stitch mobile screen, a local HTML file, or a URL into React Native / Expo components — TypeScript, StyleSheet, Expo Router, dark mode via useColorScheme, and proper touch targets. Cross-platform iOS and Android. Only the Stitch route needs an 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。
Structures FX hedging strategies for international portfolios with natural hedge identification, instrument selection, and cost analysis. Use when managing currency risk, designing FX hedges, or analyzing translation exposure.
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 Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
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。
Specifies best practices and conventions for Expo-based mobile app development.
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。
Expo Framework-specific guidelines. Includes best practices for Views, Blueprints, and Extensions.
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。
Mobile (Android) app recon and analysis — decompile APK, extract secrets, find hardcoded endpoints, exposed Firebase / AWS / API keys, deeplink abuse, intent vulnerabilities, exported components, WebView XSS, MobSF static analysis. Use when target's scope includes Android apps (.apk).
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。
Export the REQ↔DES↔TEST traceability matrix for a feature in csv or markdown format. Phase D ships csv + markdown; Phase E (Assured) extends with standard-specific formats.
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。
AgentCore の Observability ナレッジ。OpenTelemetry 必須4点セット（OTEL_EXPORTER設定・StrandsTelemetry・traceable デコレータ・Langfuse連携）、EMF メトリクス、Jaeger/コンソールエクスポーターでのトレース確認、トレースが出ない・繋がらない場合のデバッグ手順等
This skill should be used when the user asks to "add a Lottie animation", "play a .lottie or .json animation", "integrate a Bodymovin/After Effects animation on web or mobile", "control Lottie playback / segments", "make a scroll-driven Lottie", "recolor a Lottie at runtime", or "export an AE animation to Lottie". Covers dotLottie/lottie-web integration, playback control, interactivity, theming, and the AE export checklist.
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 Native (Expo) アプリの総合デバッグスキル。 再レンダリング調査、白い画面、ネイティブモジュールエラー、Firebase接続問題、 API通信エラーなどのトラブルシューティングを体系的に行う。 Use when: 「白い画面」「画面が表示されない」「エラーが出る」「動かない」 「接続できない」「400エラー」「タイムアウト」「再レンダリング」「重い」 「カクつく」などの不具合報告やデバッグ依頼があったとき。 Also use when: 「デバッグして」「原因調べて」「なぜ動かない」 「エミュレータで確認して」「デバッグログを仕込んで」などの依頼があったとき。
Analyze an arbitrary codebase to identify functions, APIs, and data sources suitable for exposure as MCP tools, producing a tool specification document. Use when planning an MCP server for an existing project, auditing a codebase before wrapping it as an AI-accessible tool surface, comparing what a codebase can do versus what is already exposed via MCP, or generating a tool spec to hand off to scaffold-mcp-server.
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。
Evaluate current trail conditions including weather, snow line, river crossings, exposure, and trail maintenance status for safety decision-making. Produces a GREEN/YELLOW/RED safety rating with actionable go/no-go recommendations. Use the day before or morning of a planned hike, during tour planning to assess seasonal viability, after unexpected weather changes on a multi-day tour, when reports suggest trail damage or closures, or before committing to an alpine or exposed route.
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 a custom MCP (Model Context Protocol) server that exposes domain-specific tools to AI assistants. Covers server implementation in Node.js or R, tool definitions, the resources and prompts primitives, transport configuration, and testing with Claude Code. Use when you need to expose custom functionality beyond what mcptools provides, when building specialized domain-specific AI integrations, or when wrapping existing APIs or services as MCP tools.
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 Native project structure, Expo vs bare workflow detection, app.json/app.config.js patterns, asset handling, fonts, styling approaches, hot-reload-friendly idioms. Use this skill to: - Detect Expo (managed/dev-client/EAS/ejected) vs bare RN workflow. - Pick correct project layout for each workflow. - Configure app.json / app.config.js with bundle ID, splash, icons, deep link schemes. - Handle assets, fonts, images correctly. - Pick a styling approach (StyleSheet / NativeWind / restyle / styled-components). Do NOT use this skill for: - Platform-specific branching (see rn-platform-specific). - Navigation (see rn-navigation). - Storage (see rn-state-and-storage). - Testing (see rn-testing).
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。