387 件 ・ 関連度順
概要と使いどころ
Build a growth strategy with frameworks, metrics, and experimentation. Use when the user says "growth strategy", "growth plan", "AARRR", "growth loops", "North Star Metric", "growth model", "activation rate", "retention strategy", "churn reduction", "growth experiments", or asks about overall growth frameworks and metrics for their product.
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。
Xay he thong giu chan khach hang cho SME VN — phan nhanh theo mo hinh kinh doanh truoc (mua 1 lan / goi lieu trinh / the thanh vien / thue bao), bang tin hieu sap mat khach viet lai bang du lieu SME thuc su co, moc can thiep truoc khi mat, khao sat ly do roi kem bang ly do sang uu dai, chuoi keo lai chay email va Zalo OA song song, cong 3 chi so do luong voi quy tac trung thuc. Kich hoat khi user nhac 'giu chan khach hang', 'khach khong quay lai', 'churn', 'retention', 'khach bo giua lieu trinh', 'keo lai khach cu', 'khach doi huy goi', 'ti le mua lai thap'. Khong dung cho — thiet ke goi ban cho khach moi thi dung skill 31-offer-design; viet chuoi email thuan tuy thi dung skill 14-email-marketing; doc duong cong cohort de biet ai sap roi thi dung skill 13-phan-tich-du-lieu truoc.
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。
Implement BullMQ job workflows in NestJS. Use when building queue processors, redis-throttler, Upstash limits, idle polling, stalled jobs, and retention policies.
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。
Hierarchical memory organization for multi-session context retention. Wings (projects) > Rooms (domains) > Drawers (decisions). Semantic search across all memories with zero cloud dependency.
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。
Product analytics - event taxonomy, funnel analysis, A/B testing, retention metrikleri.
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。
GDPR data handling, audit logging, data classification, retention policies, and consent management for regulatory 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。
Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.
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 reviewing, designing, or modifying Java enterprise systems that process personal data and need GDPR-aware engineering controls. This should trigger for requests such as Review a Java service for GDPR privacy controls; Design data-subject rights workflows; Add retention, deletion, pseudonymization, or privacy-safe logging; Assess data transfer, DPIA, breach evidence, or processor/controller boundary concerns before production release. Part of Plinth Toolkit
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。
Diagnoses product-market fit from survey, usage and pipeline data and returns a scored verdict with the next moves. Use when you ask 'do we have product-market fit', 'is our PMF survey good enough', 'what does 35% very disappointed mean', 'should we scale yet', 'why is growth stalling', or need a Sean Ellis survey, retention check, or PMF level read. Draws on 137 insights from 66 Lenny's Podcast guests incl. Sean Ellis, Todd Jackson and Rahul Vohra.
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 guidance for GA4 privacy and compliance including GDPR, CCPA, Consent Mode v2, data deletion, and privacy settings. Use when implementing Consent Mode, ensuring GDPR compliance, handling data deletion requests, configuring consent banners, or implementing privacy-first tracking. Covers consent parameters (ad_user_data, ad_personalization), data retention, IP anonymization, and compliance workflows.
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。
Generate AIA-style payment applications. Track schedule of values, calculate retention, and produce payment documentation.
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。
Makes agent reasoning visible, surfaces tradeoffs, and fades help so humans build judgment. Use when reviewing or learning from agent-written 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。
Audits a codebase or business process for regulatory compliance across GDPR, HIPAA, SOC2, CCPA, and PCI-DSS. Scans for PII handling, data retention, encryption, access controls, audit logging, consent management, and data transfer issues. Generates a structured compliance report with findings, gap analysis, remediation steps, and evidence requirements.
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。
Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers. Use when the user has dashboards full of stars and pageviews but can't tell if go-to-market is working, or is optimizing acquisition over a leaky bucket.
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。
在短视频正文完成后，检查并生成前五秒开头，让开场更抓人、可信，并与正文承诺一致。用户要求优化视频开头、降低开头流失、写口播 Hook 或增强第一句话时使用。 English: Diagnose and write the first five seconds of a short video after the main script is ready, making the opening engaging, credible, and consistent with the video's promise. Use to improve retention, create a spoken hook, or strengthen the first line.
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。
Implement centralized audit logging and SIEM integration. Configure log retention and security monitoring. Use when implementing audit trail requirements.
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。
Capture and retrieve durable YYLO Ledger artifact Records with intentional profiles, payload modes, provenance, retention, and secret-safe immutable evidence.
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。
Guides SOC 2 Type II Privacy Trust Services Criteria preparation and audit execution. Covers AICPA TSP Section 100 Privacy criteria P1-P8 including notice, choice/consent, collection, use/retention/disposal, access, disclosure, security, and quality. Includes evidence collection, control testing, and report review. Keywords: SOC 2, privacy criteria, TSP, AICPA, Type II, trust 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。
Manages legal hold and data preservation processes including triggering events, custodian notification, hold-in-place technical implementation, release procedures, and interaction with retention schedules. Covers litigation hold registers, compliance monitoring, and Art. 17(3)(e) exception documentation. Activate for legal hold, litigation preservation, data freeze, e-discovery hold queries.
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。
Creates GDPR Article 30(1) Records of Processing Activities (RoPA) for data controllers with all seven mandatory fields: controller identity and contact details, processing purposes, data subject categories, personal data categories, recipient categories, third country transfers, and retention periods. Includes Python generator for automated RoPA creation. Activate for controller RoPA, Art. 30(1), processing records, data mapping.
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。
Manages privacy compliance for employee background checks including criminal record processing under Art. 10 GDPR, DBS checks (UK), national law variations, and reference verification. Applies proportionality and data minimisation to pre-employment screening, defines retention limits, and addresses role-based necessity assessments. Keywords: background check, criminal record, Art. 10, DBS, pre-employment screening, vetting, data minimisation, proportionality.
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。
Maintains the GDPR Article 33(5) breach register documenting all personal data breaches regardless of whether supervisory authority notification was required. Covers mandatory register fields including facts, effects, and remedial actions, retention periods, audit readiness, and integration with the accountability framework. Keywords: breach register, Article 33(5), breach documentation, accountability, audit readiness, remedial actions.
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。
Product analytics and growth expert. Use when designing event tracking, defining metrics, running A/B tests, or analyzing retention. Covers AARRR framework, funnel analysis, cohort analysis, and experimentation.
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。
Generate attention-grabbing hooks for the first 3 seconds of videos. The hook determines if viewers stay or scroll. Creates multiple hook variations for A/B testing. Use when crafting video openings, improving retention, or creating scroll-stopping content for YouTube, TikTok, or Reels.
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。