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概要と使いどころ
Generates A/B test plans and optimization checklists for your App Store product page — icon, screenshots, and app previews. Use when running Product Page Optimization tests or improving conversion rates.
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 App Store asset specifications and guidelines for all promotional artwork — app icons, screenshots, app previews, event cards, subscription images, and featuring artwork. Use when preparing assets for App Store Connect upload.
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。
SF Symbols end-to-end — choosing and configuring the 7,000+ system symbols (rendering modes, variable color/draw, gradients), authoring custom symbols that interpolate across weights, and the animation preset vocabulary. Use when picking iconography, building custom symbols, animating symbol state changes, or rendering values as symbols.
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 skills for Apple platform UI — Liquid Glass, animations, game feel (haptics, sound, celebrations), UI prototyping, UX writing, SF Symbols, and typography. Use when implementing design language features, adding juice/feedback, writing interface copy, or choosing type and iconography.
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。
Code generator skills that produce production-ready Swift code for common app components. Use when user wants to add logging, analytics, onboarding, review prompts, networking, authentication, paywalls, settings, persistence, error monitoring, CI/CD pipelines, localization, push notifications, deep linking, testing, accessibility, widgets, feature flags, app icons, image caching, pagination, HTTP caching, share cards, social export, subscription lifecycle, referral systems, watermarks, streak tracking, milestone celebrations, what's new screens, lapsed user re-engagement, usage insights, variable rewards, consent flows, account deletion, permission priming, force updates, state restoration, debug menus, offline queues, feedback forms, announcement banners, quick win sessions, Spotlight indexing, App Clips, screenshot automation, background processing, app extensions, data export, or SwiftUI preview sample data and variant matrices.
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。
We present a statistical simulator, scDesign3, to generate realistic single-cell and spatial omics data, including various cell states, experimental designs, and feature modalities, by learning interpretable parameters from real data. Using a unified probabilistic model for single-cell and spatial omics data, scDesign3 infers biologically meaningful parameters; assesses the goodness-of-fit of inferred cell clusters, trajectories, and spatial locations; and generates in silico negative and positi
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。
The package CellBarcode performs Cellular DNA Barcode analysis. It can handle all kinds of DNA barcodes, as long as the barcode is within a single sequencing read and has a pattern that can be matched by a regular expression. \code{CellBarcode} can handle barcodes with flexible lengths, with or without UMI (unique molecular identifier). This tool also can be used for pre-processing some amplicon data such as CRISPR gRNA screening, immune repertoire sequencing, and metagenome 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。
R generic interface to Hi-C contact matrices in `.(m)cool`, `.hic` or HiC-Pro derived formats, as well as other Hi-C processed file formats. Contact matrices can be partially parsed using a random access method, allowing a memory-efficient representation of Hi-C data in R. The `HiCExperiment` class stores the Hi-C contacts parsed from local contact matrix files. `HiCExperiment` instances can be further investigated in R using the `HiContacts` analysis package.
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 knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR/DICOM APIs, bulk import/export, de-identification, events, or Synapse/Data Lake integrations, and other Azure Health Data Services related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure Data Manager for Agriculture (use azure-data-manager-for-agri), Azure Energy Data Services (use azure-energy-data-services).
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。
Frameworks from Kim & Mauborgne for creating uncontested market space and making competition irrelevant. Use when reframing competitive strategy, escaping commoditization, designing a new category, or applying Strategy Canvas, ERRC, Six Paths, Three Tiers of Noncustomers, Buyer Utility Map, or Strategic Sequence. Includes selection-bias caveats and inline decline notes for iconic cases that later collapsed.
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。
本地录音转文字工具。当用户发送已有录音、音频或视频文件，并希望把语音转成 Markdown 文稿和 SRT 字幕时使用。Apple Silicon 优先用 MLX/Apple GPU 和 whisper-large-v3-turbo-q4，本地转写，不生成 txt/json/vtt，不用于现场临时录音，也不默认调用云端语音识别服务。
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。
新闻站点内容提取。支持 12 个平台：微信公众号、今日头条、网易新闻、搜狐新闻、腾讯新闻、BBC News、CNN News、Twitter/X、Lenny's Newsletter、Naver Blog、Detik News、Quora。当用户需要提取新闻内容、抓取公众号文章、爬取新闻、或获取新闻JSON/Markdown时激活。
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。
Cyber threat intelligence and OSINT analysis toolkit. Runs structured investigations and delivers analyst-grade intelligence products with sourced, trust-scored findings. Use for OSINT and CTI cases, digital-footprint and exposure review, domain/subdomain/DNS/certificate recon, web-infrastructure pivoting (favicon hashes, tracker IDs, TLS certs, phishing-kit fingerprinting, campaign clustering), username/email/phone enumeration, breach and infostealer-log triage, image forensics, geolocation, crypto-wallet and IBAN/bank-account tracing, darknet search, M365/Azure and SaaS tenant recon, China/Sinophone recon (ICP filings, PRC corporate registries, Baidu/FOFA/Quake/ZoomEye), vulnerability and ransomware lookup, threat modeling, PII redaction, and structured reporting. Commands include /case, /sweep, /query, /webpivot, /username, /phone, /email-deep, /breach-deep, /icp, /cn-corp, /iban, /stealer-log, /exposure, /threat-model, /report, /brief, /redact, /apikeys.
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。
指导如何通过自定义注解（如@Unicom）标识Dubbo接口，利用BeanDefinitionRegistryPostProcessor在启动时扫描并动态注册ReferenceBean，实现RPC调用的封装。
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。
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
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。
Agent Media OS, the single skill for every media need in a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, needs privacy, or needs a media reveal.
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。
科学公式/化学式规整 Skill：统一文本列中的数学符号、Unicode 上下标、化学反应箭头、全角 ASCII 和多余空格。 适用于实验记录、论文摘录、化学反应式和科学公式文本；不负责公式语义解析、单位换算或化学配平。
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。
PDF/OCR伪影清洗工具。修复从学术论文PDF提取文本时的常见问题：断行连字符拼接（dehyphenation）、 页码去除、Unicode连字归一化（fi→fi）、页眉页脚去除。 当用户提到PDF文本清洗、OCR伪影处理、断行修复、连字符拼接等需求时使用此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。
全角/半角字符规范化工具。读取结构化数据文件，将文本中的全角ASCII字符（字母、数字、标点）转换为半角形式， 并可按需执行指定 Unicode 正规化。适用于中日韩混排科研文本的统一预处理，不负责空白行删除、拼写纠错或重复标点合并。 当用户提到全角转半角、半角规范化、全半角统一、全角字母数字转换等需求时使用此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。
括号类型统一工具。读取结构化数据文件，执行中文/全角括号到 ASCII 半角括号的映射，输出括号已统一的结构化数据文件。 当用户提到括号统一、全角括号转半角、中文括号转换、括号规范化等需求时使用此skill。 即使用户没有明确说出"bracket_normalizer"，只要任务涉及括号类符号统一，就应该使用此skill。 不负责全角字母数字转换、Unicode正规化或其他通用全半角处理。
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 whenever the user asks to "humanize", "make this sound more human", "rewrite to avoid AI detection", "make this less AI-sounding", "add a human voice", or "write like a person". Also use when the user pastes text and asks why it reads as robotic, generic, flat, or AI-like, or when generating new text in a register where AI tells (em dashes, semicolons, hedges, banned vocabulary like "delve", "leverage", "robust") would damage credibility.
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-consistent asset sets from DESIGN.md — hero, section illustrations, icon sets, OG image — generated through whichever channel the user actually has (grok build image_gen, Codex $imagegen, Gemini, xAI/Recraft/OpenAI keys) as recorded by omd:setup, with a provenance and cost ledger. No channel → prompt pack + manual queue, never stock. Trigger: '이미지 세트 만들어', '에셋 생성', 'generate assets', 'hero image', '아이콘 세트', 'OG 이미지'.
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-consistent asset sets from DESIGN.md — hero, section illustrations, icon sets, OG image — generated through whichever channel the user actually has (grok build image_gen, Codex $imagegen, Gemini, xAI/Recraft/OpenAI keys) as recorded by omd:setup, with a provenance and cost ledger. No channel → prompt pack + manual queue, never stock. Trigger: '이미지 세트 만들어', '에셋 생성', 'generate assets', 'hero image', '아이콘 세트', 'OG 이미지'.
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。
HashiCorp Vault, cloud secret managers, rotation strategies, and zero-trust secret access
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。