2.2万 件 ・ 関連度順
概要と使いどころ
Discover and configure Bluetooth and Wi-Fi accessories using AccessorySetupKit. Use when presenting a privacy-preserving accessory picker, defining discovery descriptors for BLE or Wi-Fi devices, handling accessory session events, migrating from CoreBluetooth permission-based scanning, or setting up accessories without requiring broad Bluetooth permissions.
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 and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
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 and optimize React component performance issues (slow renders, re-render thrash, laggy lists, expensive computations). Use when asked to profile or improve a React component, reduce re-renders, or speed up UI updates in React apps.
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。
Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples.
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 a project's past Codex sessions, memory files, and existing local skills to recommend the highest-value skills to create or update. Use when a user asks what skills a project needs, wants skill ideas grounded in real project history, wants an audit of current project-local skills, or wants recommendations for updating stale or incomplete skills instead of creating duplicates.
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。
Unit testing, UI testing, TDD patterns, mocking, and test doubles for VIP+W architecture
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 XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP 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。
Step-by-step guide for refactoring legacy/spaghetti iOS code to VIP+W Clean Architecture
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。
Memory management, profiling, optimization techniques, and Instruments usage for high-performance iOS apps
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。
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment.
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, refactor, or review macOS menubar apps that use Tuist and SwiftUI. Use when creating or maintaining LSUIElement menubar utilities, defining Tuist targets/manifests, implementing model-client-store-view architecture, adding script-based launch flows, or validating reliable local build/run behavior without Xcode-first workflows.
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。
Writes in ASD-STE100 simplified technical English — short sentences, plain words, active voice. Use when the user wants terse technical prose, names this skill, or asks for STE100.
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。
Hostile self-review of recently written AI workflow code that then applies fixes (agents, tools, chat context, summarization, tokens, attachments). Use after generating AI systems code, or when asked to self-review and harden it. Not for PR peer review (code-review) or no-edit devil's-advocate attacks (adversarial-challenge). Prefer: adversarial-challenge → decide → this 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。
Disables the AI's default hedging, diplomatic softening, and social-nicety layers to deliver cold, unfiltered, consequentialist analysis on any topic. Use when the user wants the AI's actual assessment without padding, regardless of how harsh or uncomfortable the honest answer is.
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。
Cuts fluff and leads with what matters. Applies Parkinson's Law, Pareto, and Goodhart's Law so every word earns its place. Use when the user wants terse output, names this skill, or signals that responses are too padded.
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。
Structured 3-phase peer review of a diff or PR — intent, issues by severity, then pointed merge-readiness questions and a verdict. Use for general code review. Not for AI workflow self-fix-and-edit (ai-systems-review) or no-edit devil's-advocate threat models (adversarial-challenge). Phase 3 asks questions only; it is not the adversarial-challenge 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。
Current attested Codex, Claude Code, and Agent Skills extension contracts for skilltap. Use when designing, implementing, reviewing, or documenting harness adapters; plugin or marketplace manifests; native plugin lifecycle; skill directories or SKILL.md frontmatter; AGENTS.md/CLAUDE.md bridges; configuration scopes; compatibility transfer; adoption, reconciliation, status, or update behavior.
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。
This skill should be used when the user asks how to "use VibeTags", "add VibeTags annotations", "set up AI guardrails", "protect code from AI", "configure AI platforms", asks about @AILocked, @AIContext, @AIDraft, @AIAudit, @AIIgnore, @AIPrivacy, @AICore, @AIPerformance, @AIContract, @AITestDriven, @AIThreadSafe, @AIImmutable, @AIDeprecated, @AIObservability, @AIRegulation, @AIArchitecture, @AILegacyBridge, @AIStrictClasspath, @AIInternationalized, @AIPublicAPI, @AISchemaSafe, @AIStrictExceptions, @AIStrictTypes, @AIParallelTests, @AIIdempotent, @AIFeatureFlag, @AISecure, @AICallersOnly, @AISandboxOnly, @AIMemoryBudget, @AIPure, @AIDomainModel, @AIExtensible, @AIInputSanitized, @AISecureLogging, @AIExplain, @AIPrototype, @AISunset, @AITemporary annotations, or wants to control how AI tools interact with Java 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。
Generate a polished frontend reference screenshot through a configurable GPT-image-2-compatible generations endpoint, save and show versioned previews inside the project, revise selected previews through a configurable /images/edits endpoint, and reproduce only the user-approved design as functional frontend code with high visual fidelity. Use when Codex is asked to design, build, restyle, or recreate a web page, application screen, dashboard, landing page, or UI component through an image-first workflow, design approval loop, screenshot-driven implementation, pixel matching, or a 1:1 frontend recreation.
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 a job description, hiring post, or recruitment page for role requirements, evaluation criteria, keywords, risks, and resume or cover letter angles. Use when the user provides a JD URL/text, asks what a company is looking for, wants JD-resume gap analysis, or needs inputs for a tailored cover letter. 한국어 요청도 포함합니다 - 채용공고 분석, 공고 분석, JD 분석, 직무기술서 분석, 자격요건, 우대사항, 이 공고 뭘 원하는지, 공고랑 내 경력 비교.
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 an optional company talent, values, culture, or recruitment page and turn it into cover letter positioning guidance. Use when the user provides a company values URL/text, asks to match a cover letter to company culture, or wants talent-profile keywords connected to resume.md evidence. 한국어 요청도 포함합니다 - 인재상 분석, 기업 가치관, 회사 문화, 채용 홈페이지 분석, 기업 분석, 인재상에 맞춰서, 회사가 원하는 인재.
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 a polished git commit message from my staged changes following Conventional Commits, with an optional emoji and the related issue 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。
This skill should be used when the user asks to "calculate overtime", "未払残業代計算", "残業代を計算", "労基法37条", "割増賃金", "深夜労働", or wants deterministic computation of unpaid overtime wages under the Labor Standards Act Article 37.
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。
把任意学习材料（讲义/笔记/教材/PDF/PPT/Markdown/网页/转写稿）做成一个单文件、 可离线打开、可反复刷的 HTML 互动习题库：5 种题型（单选/多选/判断/填空/闪卡）、 即时判分 + 解析、按单元/题型筛选、错题本快照、进度本地保存、中英双语一键切换。 当用户说"做习题库 / 刷题网页 / 把笔记做成练习题 / 互动题库 / 错题本 / 期末练习题 / generate a quiz / make a practice quiz / turn notes into flashcards"时触发。 区别于 cheatsheet-generator（把材料压成一张速查表）——本 skill 产出的是可作答、 可反复练的题库。
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。