🇺🇸 ASO & Mobile App Growth Playbook 2026 — Complete App Store Optimization guide. ASO keyword ranking, App Store & Google Play listing optimization, app cold start, UGC creator operations, TikTok/Instagram/YouTube Shorts marketing, AI-matrix content scaling, mobile user acquisition. 🇨🇳 ASO 增长与 App 冷启动权威指南 — 从应用商店优化到 UGC 运营、多平台内容策略、AI 辅助内容创作的完整实操手册。 🇯🇵 ASO&アプリコールドスタート成長ガイド — App Store最適化からUGC運営、マルチプラットフォーム戦略、AIマトリックスまで。 🇰🇷 ASO 및 앱 콜드 스타트 성장 플레이북 — 앱스토어 최적화부터 UGC 운영, 멀티플랫폼 전략, AI 매트릭스까지. Triggers: "ASO" | "App Store Optimization" | "ASO keywords" | "App Store ranking" | "Google Play optimization" | "app cold start" | "app launch" | "mobile app growth" | "user acquisition" | "UA" | "UGC creator" | "TikTok marketing" | "Instagram Reels" | "YouTube Shorts" | "creator matrix" | "app growth" | "应用商店优化" | "App冷启动" | "UGC运营" | "矩阵号"
「ios」の検索結果
3,136 件 ・ 関連度順
概要と使いどころ
gr-aso
無料ASO(App Store Optimization)+ App 冷启动。覆盖关键词研究、metadata 优化、UGC 创作者矩阵、 TikTok 投流、AI 多账号矩阵、多语言本地化。从 gingiris-aso-growth 提炼。
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。
Financial goal planner. Takes any goal (house down payment, college fund, wedding, sabbatical, business launch, car, vacation) and builds the required savings amount, monthly contribution, timeline, investment vehicle recommendation, milestone checkpoints, and adjustment scenarios. Supports multiple simultaneous goals with prioritization logic. Produces FINANCE-GOALS.md.
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。
Investment portfolio analyzer. Audits current allocation vs target, asset class diversification (stocks, bonds, real estate, alternatives), expense ratios, tax efficiency, rebalancing needs, factor tilts (value, momentum, quality), three-fund portfolio fit, target-date fund analysis, and Boglehead-style optimization. Produces FINANCE-PORTFOLIO.md with a portfolio score, specific rebalancing trades, and fund swap recommendations.
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。
Investment screener with pre-built strategies (Dividend Growth, 3-Fund Index, Bond Allocation, REITs, International Diversification, ESG) and custom criteria support. Returns curated ticker lists, allocation models, expected returns, expense ratios, and a recommended portfolio with rebalancing notes. Output saved as FINANCE-SCREEN.md.
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。
Side-by-side comparison of two financial scenarios (buy vs rent, new job vs stay, payoff house vs invest, Roth vs Traditional, lease vs buy car, etc). Projects each scenario over 10 years, compares total cost, opportunity cost, risk profile, and produces a structured recommendation. Output saved as FINANCE-COMPARE.md.
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 creation of new industry use cases for the Adobe Experience Platform blueprints repository. Use this skill when adding a new use case to an industry vertical (retail, automotive, healthcare, financial services, insurance, media & entertainment, telecommunications, travel & hospitality, B2B), when the user wants to add business scenarios to industry pages, or when updating the use case catalog. Handles the full workflow: gathering use case details, assessing maturity level, generating content, updating the industry overview page and use case catalog, and invoking the use-case-icon-generator skill for icon creation.
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。
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
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。
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
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。
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
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。
Quantify cyber risk using FAIR methodology with Monte Carlo simulation, assess control effectiveness against NIST CSF/CIS/ISO 27001 frameworks, evaluate risk appetite alignment, and analyze cyber insurance coverage adequacy. Covers threat landscape mapping, asset valuation, loss event frequency and magnitude estimation, annualized loss expectancy calculation, control gap analysis with ROI ranking, residual risk assessment, and insurance policy gap modeling at 90th/95th/99th percentile loss scenarios. Use when building risk registers, preparing board-level risk dashboards, evaluating security investment priorities, assessing cyber insurance coverage, or auditing any organization's risk quantification maturity per NIST RMF, ISO 27005, or FAIR standards.
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。
Identify coverage gaps in existing insurance portfolios. TRIGGERS - Use when user needs help with coverage-gap-finder 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。
Assesses physical and transition climate risk for CRE properties and portfolios. Translates hazard exposure (flood, wind, wildfire, extreme heat, sea level rise) and regulatory/market shifts into financial impacts on NOI, cap rates, insurance costs, and tenant demand. Produces dollar-denominated risk, not abstract hazard scores.
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。
buffett
無料Activates Warren Buffett's complete investment thinking system. The following scenarios must trigger it: analyzing any stock or company, evaluating investment opportunities, interpreting financial reports/annual reports/shareholder letters, assessing business moats or competitive advantages, evaluating management quality and integrity, making buy/hold/sell decisions, understanding core value investing concepts (compounding/intrinsic value/margin of safety/circle of competence/Mr. Market), analyzing any industry (insurance/banking/consumer/media/energy/railroads/technology), handling capital allocation/buybacks/dividends questions, assessing market sentiment and macro risks, exploring when to sell, analyzing institutional imperative or management behavior. Even if the user does not mention "Buffett," proactively trigger whenever the topic involves investment analysis, business quality assessment, or investment decision-making.
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。
Analyzes insurance scenarios by referencing specific sections of the Life Insurance Act, Insurance Contracts Act, and Corporations Act, providing direct quotes and explanations.
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 insurance company financial analysis with combined ratio, reserve adequacy, and capital metrics. Use when analyzing insurance financials, evaluating combined ratios, or assessing reserve strength.
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。
Evaluates insurance company investment portfolios with ALM considerations and regulatory constraints. Use when analyzing insurer investments, managing ALM, or evaluating portfolio 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。
Generates unit tests for command and query handlers using xUnit and NSubstitute. Implements Arrange-Act-Assert pattern with comprehensive test coverage for success and failure scenarios.
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 or audit a financial model — 3-statement model (P&L, cash flow, balance sheet), scenario analysis, and sensitivity tables. Use when asked to "build a financial model", "model our growth scenarios", or "what happens to runway if we hire 5 people".
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 a mock server for an API — tooling selection, response fixtures, and error scenarios. Use when asked to "build a mock server", "mock this API for development", or "create response fixtures".
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 guardrail coverage — bypass vectors, false positive rates, policy gap analysis, red-team scenarios. Use when asked to "audit our AI guardrails", "can our filters be bypassed", or "check guardrail false positives".
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。
Hi-fi interactive HTML prototype — single-file, double-click-to-open, Playwright-verified. Use when asked to "make it clickable", "build a prototype", "hi-fi mockup", "interactive demo", "iOS prototype", "app mockup", "ui demo", or "prototype this". Goes beyond wireframes into visually finished, state-driven HTML with device frames and real images. Not production code — a design artifact for testing flows and pitching ideas.
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 a performance benchmark for an API — test scenarios, metrics, and tooling. Use when asked to "benchmark this API", "design a load test", or "measure throughput".
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。
Elite frontend design taste for building, reviewing, and polishing web interfaces. Use whenever the user wants to design, redesign, shape, critique, audit, polish, or improve any UI (landing pages, portfolios, dashboards, product UI, components, forms, onboarding, empty states) or asks to make something look better / premium / modern, fix the styling, add or fix animations, or make a design feel less generic ("AI slop"). Covers typography, color, spacing, layout, visual hierarchy, motion, micro-interactions, component states, accessibility, responsive behavior, UX copy, and anti-pattern detection.
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。