Execute ambiguity audit document-by-document with implementer simulation, rubric scoring, cross-layer checks, remediation, and verdicting
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
Execute ambiguity audit document-by-document with implementer simulation, rubric scoring, cross-layer checks, remediation, and verdicting
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。
Orchestrate ambiguity auditing across selected layers with rubric-driven scoring, remediation flow, and next-step gating
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。
Determine ambiguity audit scope, enumerate source documents from filesystem, and persist rubric file bindings
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。
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
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。
Bu template'in tasarim sistemi referansi — renk (colorScheme + AppThemeColors semantic token'lari), tipografi (textTheme slotlari, Poppins/Inter), spacing/radius/golge/sure token'lari (AppPaddings, AppRadius, AppShadows, AppDurations, AppIconSizes), paylasilan widget katalogu (AppPrimaryButton, dort-durum widget'lari, AppTextField, sheet'ler), 8 varyantli light/dark tema ve easy_localization. Kullanici UI yazarken/duzenlerken "renkleri projeye gore kullan", "bu butonu projeye gore yaz", "hangi spacing/radius", "tasarim sistemine uydur", "style guide", "tema token'lari" dediginde kullan.
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 onboarding guide for setting up a new AI Personal Assistant on OpenClaw. Use when: a new PA is being created, someone asks how to set up an agent, or guiding a user through the full setup process from account creation to first response.
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 articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
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 asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, latest/current/default-model prompting guidance, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.
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 en édition de contenu (style guides, grammaire, fact-checking, SEO, calendriers éditoriaux)
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。
Brand guardian v2 — brand consistency, tone of voice, visual identity, guidelines
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。
Brand Guardian IA — Gardien de l'identité de marque. Cohérence visuelle, ton de voix, positionnement, guidelines, et policing de la brand.
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。
Brand strategist v3 — positioning, messaging, visual identity, guidelines
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。
Comprehensive guide to auditing web content against WCAG 2.2 guidelines with actionable remediation strategies.
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 guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns.
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。
Japanese brand design guidelines with traditional color palettes (伝統色), typography (ゴシック体/明朝体), ma (間) spacing, wabi-sabi (侘寂) aesthetics, and logo design for Japanese characters. Triggers on requests for 和風デザイン, ブランドデザイン, 伝統色, 日本語タイポグラフィ, ロゴデザイン, 配色ガイド.
Simplified Japanese MCP (Model Context Protocol) server builder skill covering project setup, Japanese API integrations (Chatwork, Backlog, freee, kintone), and development guidelines. Triggers on requests for MCPサーバー構築, MCP開発, MCPツール作成.
Core Swift development workflows for Xcode and Swift tooling, including project setup, dependency management, concurrency guidance, language/runtime best practices, and troubleshooting build or package resolution issues. Use when working on Swift tasks across a codebase, especially package/tooling/runtime work and cross-cutting Swift conventions (mutation semantics, naming, enum/file rules, import hygiene), including in SwiftUI projects.
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 coding guidelines covering style, structure, patterns, formatting, and pure-functions methodology. Use when editing or generating SwiftUI code or Swift files containing SwiftUI views, view models, services, or related 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。
Write, review, or improve Swift APIs using Swift API Design Guidelines for naming, argument labels, documentation comments, terminology, and general conventions. Use when designing new APIs, refactoring existing interfaces, or reviewing API clarity and fluency.
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。
Prepare for App Store review and prevent rejections. Covers App Store review guidelines, app rejection reasons, PrivacyInfo.xcprivacy privacy manifest requirements, required API reason codes, in-app purchase IAP and StoreKit rules, App Store Guidelines compliance, ATT App Tracking Transparency, EU DMA Digital Markets Act, HIG compliance checklist, app submission preparation, review preparation, metadata requirements, entitlements, widgets, and Live Activities review rules. Use when preparing for App Store submission, fixing rejection reasons, auditing privacy manifests, implementing ATT consent flow, configuring StoreKit IAP, or checking HIG compliance.
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。
Integrate on-device AI using Foundation Models framework, Core ML, and open-source LLM runtimes on Apple Silicon. Covers Foundation Models (LanguageModelSession, @Generable, @Guide, SystemLanguageModel, structured output, tool calling), Core ML (coremltools, model conversion, quantization, palettization, pruning, Neural Engine, MLTensor), MLX Swift (transformer inference, unified memory), and llama.cpp (GGUF, cross-platform LLM). Use when building tool-calling AI features, working with guided generation schemas, converting models, or running on-device inference.
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。
Guide for when to use and when not to use return validators in Convex functions. Use this skill whenever the user is writing Convex queries, mutations, or actions and needs guidance on return value validation. Also trigger when the user asks about Convex type safety, runtime validation, AI-generated Convex code, Convex AI rules, Convex security best practices, or when they're debugging return type issues in Convex functions. Trigger this skill when users mention "validators", "returns", "return type", or "exact types" in the context of Convex development. Also trigger when writing or reviewing Convex AI rules or prompts that instruct LLMs how to write Convex 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。
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
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。
Frontend development guidelines for React/TypeScript applications. Modern patterns including Suspense, lazy loading, useSuspenseQuery, file organization with features directory, MUI v7 styling, TanStack Router, performance optimization, and TypeScript best practices. Use when creating components, pages, features, fetching data, styling, routing, or working with frontend 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。