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Turn brand context and a social brief into platform-aware copy, storyboard, reference frames, and video drafts without publishing them.

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。

SharedPreferences (v2.5.5) for Flutter providing simple persistent key-value storage for non-sensitive user settings and app preferences. Use this skill when storing user preferences (theme mode, language selection, font size), app settings and configuration, feature flags or A/B test assignments, simple cache data, onboarding completion status, last selected values (filters, sort options), user consent flags, or any non-sensitive data that survives app restarts. Supports String, int, double, bool, and StringList types. NOT suitable for storing tokens, passwords, API keys, or any sensitive/encrypted data (use flutter_secure_storage instead). Ideal for quick persistent storage without database overhead.

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。

Integrates Google Mobile Ads (AdMob) into Flutter using google_mobile_ads v7.x with Banner, Interstitial, Rewarded, and Native ad formats. Use this skill whenever implementing app monetization, adding AdMob ads to Flutter, fixing ad loading or display errors, managing ad lifecycle (preload/dispose), preventing memory leaks from undisposed ads, handling GDPR/ATT consent flows, troubleshooting AdMob dashboard integration, or any time the words 'AdMob', 'google_mobile_ads', 'banner ad', 'interstitial', 'rewarded ad', 'native ad', or 'ad monetization' appear in the request. Supports Android (GMA SDK 24.9+) and iOS (GMA SDK 12.14+).

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。

Generative UI (GenUI) for Flutter using AI models like Google Gemini, Anthropic Claude, or OpenAI via the genui package. Use this skill when building dynamic AI-driven interfaces, conversational UI flows, server-rendered screen layouts, LLM-powered dashboards, chat-based UI generation, or implementing prompt-to-UI systems. Supports AI-generated widgets, reactive data binding, ContentGenerator integration, and A2uiMessageProcessor for real-time UI updates from AI responses. Ideal for apps where UI structure is determined by AI/LLM output rather than hardcoded layouts.

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。

Configures Codemagic CI/CD pipelines for Flutter using `codemagic.yaml`. Use when setting up automated Flutter builds on Codemagic, configuring iOS code signing without Fastlane Match, deploying to App Store Connect or Google Play from Codemagic, caching pub dependencies in Codemagic, setting up encrypted environment variable groups, running tests with Codemagic's test dashboard, or choosing between Codemagic and GitHub Actions + Fastlane for a Flutter CI/CD pipeline.

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-native UI design lifecycle engine (Figma alternative) with Contextual Decision Layer (CDL). Supports all 7 design stages with zero per-page CSS/JS and pluggable CSS foundations (Native, Tailwind, daisyUI, Pico, Hybrid). Trigger on commands 'brief', 'study', 'init', 'brand', 'tokens', 'palette', 'layout', 'components', 'page', 'dashboard', 'motion', 'i18n', 'audit', 'deploy', or design system requests.

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。

TidyFactor Design track — code-native UI design lifecycle engine (Figma alternative). Supports all 7 stages of UI design (Discovery, Foundation, Architecture, Components, Motion, Quality, Delivery) with zero per-page CSS/JS and zero build step. Pluggable CSS foundations (Native, Tailwind utility-first, daisyUI, Hybrid, shadcn, Pico, Bootstrap, Alpine) and full Arabic/RTL support (El Messiri/Tajawal, never Amiri above 24px). Trigger on commands "study", "brief", "init", "brand", "typography", "school", "tokens", "palette", "assets", "layout", "nav-footer", "components", "page", "dashboard", "motion", "states", "flow", "i18n", "perf", "audit", "clone", "retrofit", "handoff", "deploy", or requests like "build a design system", "UI design lifecycle", "prototype this website", "Figma alternative", "نموذج أولي تفاعلي", "صمّم لوحة تحكم".

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 Firecrawl into product code: SDK setup and FIRECRAWL_API_KEY onboarding, /scrape, /search and /interact endpoints. Use when an application (not the agent itself) calls Firecrawl.

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。

システムとアプリケーションメトリクスのリアルタイム可視化のための本番環境Grafanaダッシュボードを作成・管理します。モニタリングダッシュボードの構築、メトリクスの可視化、運用可観測性インターフェースの作成時に使用します。

Convert a regular/single-user app into a multi-tenant SaaS — add authentication, organizations/teams, role-based permissions (RBAC), plans & billing (Stripe / HYP-היפ / license keys / usage metering), invites and onboarding. Use when the user wants to "turn this into a SaaS", "add login/orgs/teams", "add plans and payments", "add user roles/permissions", "make this multi-tenant", "הפוך לסאאס", "להוסיף התחברות / ארגונים / הרשאות / מסלולים ותשלום".

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。

Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic 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。

Plan FriendlyBet ethical growth, SEO, README positioning, open-source contribution paths, self-hosting story, public trust, and discovery without ads, trackers, spam, or dark patterns. Use for repo-facing docs, growth strategy, launch positioning, SEO pages, contributor onboarding, or public messaging.

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。

Act as FriendlyBet's CEO and primary front door for every FriendlyBet request through automatic company preflight. Own end-to-end routing, planning, execution coordination, department orchestration, decision-rights enforcement, quality gates, board-style reporting, and escalation only for strategic, legal, brand, cost, risk, or taste decisions. Use by default in FriendlyBet threads, with full department planning for broad, ambiguous, strategic, cross-functional, or outcome-driven requests such as SEO, new features, multi-sport expansion, product direction, release execution, company operations, or agent coordination.

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。

Shape FriendlyBet product decisions, MVP scope, user stories, tournament flows, multi-sport expansion, pool mechanics, social competition loops, and feature prioritization. Use when planning what FriendlyBet should build, cut, sequence, or validate, especially for new sports, prediction formats, pool flows, leaderboards, sharing, or product strategy.

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 or design FriendlyBet user experience, visual direction, mobile-first flows, premium sports interface, Hebrew/English copy fit, RTL behavior, accessibility, interaction patterns, and product UI polish. Use when a task touches screens, flows, layout, visual hierarchy, onboarding, prediction UX, share UX, or design quality.

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 web accessibility following WCAG 2.1 guidelines. Use when asked to "improve accessibility", "a11y audit", "WCAG compliance", "screen reader support", "keyboard navigation", or "make accessible".

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 is for interface design — dashboards, admin panels, apps, tools, and interactive products. NOT for marketing design (landing pages, marketing sites, campaigns).

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。

Central status dashboard for the PA agent. Use when: owner asks 'what's the status', 'what are you working on', 'what's happening', or any status/overview question. Aggregates active tasks, open issues, monitored groups, pending follow-ups, and system health into one structured report.

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 working with Cypress Deep — cypress end-to-end testing management and analysis. Covers test execution monitoring, dashboard integration, screenshot and video analysis, test report parsing, flaky test detection, and configuration auditing. Use when investigating test failures, reviewing Cypress Cloud results, or managing Cypress test suites.

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 working with Celery — celery worker management, task monitoring, queue routing, Flower dashboard analysis, and task result tracking.

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 working with Chronosphere — chronosphere cloud-native observability platform for metrics, tracing, and alerting at scale. Covers PromQL-based metric queries, trace analysis, monitor management, dashboards, and control plane configuration. Use when querying Chronosphere metrics, investigating service performance, managing alerting rules, or analyzing distributed traces.

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 working with Basecamp — basecamp project management covering projects, to-do lists, messages, schedules, and team activity. Use when auditing Basecamp usage, managing to-dos and message boards, analyzing project activity, or reviewing team workload across Basecamp 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。

Use when working with Aws Ses Deep — advanced AWS SES management including sending quotas, identity verification, configuration sets, dedicated IPs, reputation dashboard, suppression list, email receiving rules, and deliverability advisor. Goes beyond basic SES to cover DKIM/DMARC compliance, event publishing, and virtual deliverability manager.

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 working with Aws Config Deep — aWS Config deep rule and compliance management. Covers Config rules, conformance packs, aggregators, advanced queries, remediation actions, configuration history, and multi-account compliance dashboards. Use when auditing AWS resource compliance, managing Config rules, reviewing conformance pack results, or querying resource configurations across accounts.

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。