「bsc」の検索結果

Revenue beyond the single-app price tag — own-app bundles, Family Sharing as a conversion lever, cross-developer bundles & suites, and institutional licensing via Group Purchases / Apple School & Business Manager. Use when a developer has multiple apps, a subscription worth sharing, complementary indie partners, or school/clinic/business buyers.

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 a watermark overlay system for images and video with configurable positioning, opacity, tiling, and paywall integration for automatic removal on subscription or purchase. Use when user wants to add branding, attribution, or free-tier watermarks to visual content.

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。

Generates offer code distribution strategies and configuration guides for subscription and IAP promotions — including partner campaigns, influencer programs, and email re-engagement. Use when setting up offer codes for distribution.

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。

Take a one-time in-app purchase from MISSING_METADATA to READY_TO_SUBMIT in App Store Connect — set its price schedule and localized display name/description (and optional review screenshot) via the ASC REST API. Use at Phase 6 (Pre-Release), after the IAP is built in-app (Phase 4) and its ASC record exists. NOT for subscriptions, and NOT the same as promoted-iap (which displays IAPs in-app).

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。

Pulls replies from a Smartlead campaign, classifies each as positive/neutral/negative/OOO/bounce/unsubscribe using Claude, and reports the positive reply rate — the north-star metric for cold email. Use when the user wants to know if a campaign is actually working (not just getting replies, but getting the RIGHT replies). Triggers on "score my replies", "how's campaign X doing", "positive reply rate", "is this campaign working".

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。

Designs products around price using the 9 rules from Ramanujam and Tacke - WTP conversations, needs-based segmentation, Good/Better/Best configuration, monetization models, behavioral pricing, and price integrity. Use when designing new products, validating pricing for SaaS/B2B/B2C launches, choosing between subscription/usage/freemium models, fixing post-launch sales below plan, diagnosing failed launches as Feature Shock/Minivation/Hidden Gem/Undead, or when product teams say 'let's price it later'. Not for pure commodities or cost-plus regulated environments.

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 and execute marketing strategy for Direct-to-Consumer (DTC) brands — customer acquisition, retention, email flows, social proof, subscription models, and repeat purchase mechanics. Use when the user says "DTC marketing", "direct to consumer", "D2C strategy", "selling directly to customers", "cut out the middleman", "DTC brand", "e-commerce brand marketing", "how do we get direct customers", "DTC growth", "consumer brand marketing", "we sell direct", or is building a brand that sells its products directly without retail or distribution middlemen.

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 YouTube channel and video performance using the YouTube Data API. Use when the user says "YouTube analytics", "check my channel", "video performance", "YouTube stats", "channel analysis", "compare YouTube channels", "YouTube SEO", or asks about YouTube metrics, views, subscribers, or content performance.

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。

Create lead magnets and gated content to capture email subscribers and leads. Use when asked to design checklists, templates, calculators, mini-courses, whitepapers, or other downloadable content offers. Trigger phrases: "lead magnet", "gated content", "email capture", "content offer", "free download", "checklist", "template", "whitepaper", "swipe file", "content upgrade", "opt-in offer".

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 and grow an email newsletter. Use when the user says "newsletter strategy", "grow my newsletter", "newsletter content", "email newsletter", "subscriber growth", "newsletter monetization", "Substack strategy", "Beehiiv", or asks about building, growing, or monetizing a newsletter.

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 an email drip sequence for affiliate marketing. Triggers on: "write me an email sequence", "create a drip campaign", "email nurture sequence", "affiliate email funnel", "welcome email series", "email onboarding sequence", "write emails for my list", "set up a drip sequence", "email campaign for [product]", "nurture my subscribers", "email follow-up sequence", "build my email funnel", "write 5 emails promoting [product]", "email automation sequence".

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 testing RevenueCat purchases/subscriptions, setting up sandbox testing, debugging a purchase/restore/trial, verifying entitlements or events, or writing an IAP QA plan.

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。

Migrate a Jetpack Compose app to edge-to-edge display and fix system bar inset issues. Use when UI components are obscured by navigation/status bars, fixing IME insets, or enabling edge-to-edge for SDK 35+.

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。

Abonelik fiyatlama stratejileri. 3-tier framework, price anchoring, charm pricing, regional pricing (18 ulke), introductory offers, win-back campaigns, churn prevention ve A/B testing methodology.

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。

Payment provider abstraction, webhook security, subscription lifecycle, dunning flows, pricing models, invoicing, tax handling, and refund patterns for SaaS applications.

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。

AI-powered paywall optimizasyon. Sektore gore otomatik analiz, A/B test senaryolari, churn prediction sinyalleri, push notification stratejileri, agresif satis teknikleri ve RevenueCat Experiments entegrasyonu. paywall-strategy, revenuecat-patterns ve subscription-pricing skill'lerinin ustune insa eder.

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。

Schema design, resolver patterns, DataLoader, N+1 prevention, and subscription patterns for GraphQL APIs.

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。

Answer a hard question by fanning it out to a PANEL of models running in parallel — each answering independently with web search and bash, none seeing the others' work — then having Opus 4.8 judge every response into a structured analysis (consensus, contradictions, partial coverage, unique insights, blind spots) and write a final answer grounded in it. The panel is two independent Opus 4.8 runs (slug opus4.8-4.8), Opus 4.8 + GPT-5.5 via codex (opus4.8-gpt5.5), Opus 4.8 + Gemini 3.1 Pro via agy (opus4.8-gemini3.1pro), or all three (opus4.8-gpt5.5-gemini3.1pro). Opus always judges and writes the final answer — the pipeline can't be reversed. Runs on local CLI subscriptions (no metered API), and saves a timestamped provenance .md per run. Use this whenever the user asks to "run it through Fusion", says /fusion, wants a multi-model / panel / ensemble answer, wants a question cross-checked across models, or wants a higher-confidence answer with consensus and blind spots surfaced — even if they don't say "fusion". General-purpose: any topic (research, law, strategy, technical, personal). Best for high-stakes research, design calls, and debugging where being confidently wrong is expensive.

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。

Get one actionable improvement for your AI product based on the latest GenAI PM briefs. Fetch the last 5 days of curated AI PM insights from genaipm.com, analyze the current repo/project, find synergy between trending topics and the user's work, then research the source material and apply a concrete improvement. Use when the user wants to improve their AI product, get coaching on AI PM best practices, apply the latest industry insights to their codebase, or run "/one-step-better-ai-pm". Requires a GenAI PM subscriber email (set GENAIPM_EMAIL env var or provide when prompted).

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。

TikTok 监控订阅推送工具 — 订阅关键词、指定账号与话题，每日早上 9:00 自动拉取昨日时间窗内新内容（关键词新爆款视频 / 账号新作品 / 话题新作品），按订阅项分组生成 HTML 日报推送，无需手动操作。支持三类订阅项批量管理（总上限 100 项）、按日期过滤翻页、互动数据（播放/点赞/评论/分享）展示与 AI 总结。当用户需要订阅 TikTok 关键词、追踪指定账号新作品、监控话题热度变化、获取 TikTok 昨日内容日报时使用。触发词：TikTok订阅、TikTok监控、TikTok日报、TikTok关键词订阅、TikTok账号订阅、TikTok话题订阅、TikTok订阅推送、监控订阅推送。

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。

X(Twitter)订阅账号推文工具 — 订阅 Twitter 名人账号（来源：榜单推荐 / 用户指定 @handle / 关注列表探索），每日早上 9:00 自动拉取订阅账号昨日最新推文，按账号分组生成 HTML 日报推送，无需手动操作。支持最多 100 个账号批量订阅、按日期过滤翻页、互动数据（浏览/点赞/转发/回复）展示与 AI 总结。当用户需要订阅 Twitter/X 账号、追踪名人推文动态、监控 KOL 发声、获取 X 账号昨日发帖日报时使用。触发词：X订阅、Twitter订阅、订阅推特账号、订阅推文、X名人日报、Twitter账号追踪、关注列表探索、订阅KOL、推特动态订阅、X日报。

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。

红狐订阅中心 — 统一管理全部可订阅内容源：账号追踪、AI 日报、行业日报、热榜推送。用户说「我要订阅」时展示分组菜单并引导完成订阅；「我的订阅」汇总当前所有定时推送任务；支持一键取消订阅。当用户想要订阅日报、追踪账号更新、管理推送任务、查看或取消已有订阅时使用。触发词：订阅、我要订阅、订阅中心、我的订阅、取消订阅、日报订阅、推送管理、定时推送。

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。