「retention」の検索結果

Plan, write, and publish for YouTube and YouTube Shorts. Use when the user wants high-CTR video titles, an SEO description with chapters and links, a first-30-seconds retention script (or a 3-second Shorts hook), a designer-ready thumbnail brief, a community-tab post or poll, or a weekly upload plan. The user supplies the video; the skills produce the title, description, hook, and thumbnail brief, then on approval upload and schedule via the Publora API.

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 a weekly YouTube upload plan: long-form vs YouTube Shorts mix, posting cadence, per-slot title and thumbnail pairing, hook angle, community-tab posts between uploads, and a goal balance across CTR, retention, and subscribes. Maps Shorts as top-of-funnel that points at long-form, and long-form as the loyalty and watch-time engine. Use to plan a week or a content calendar instead of shipping ad hoc. Not for writing a single title, description, or hook (use the dedicated yt skills).

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 batch-produce an entire email system for a product. Maps every lifecycle touchpoint (onboarding, activation, conversion, retention, transactional, win-back), generates all emails with quality gates, outputs Loops-ready copy. Use when "create all emails", "email system", "build email sequences", "lifecycle emails", "onboarding sequence", "set up transactional emails", "plan all the emails for [product]", or any request to systematically produce a complete set of emails for a platform.

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 a white-labeled, client-facing intelligence dashboard — a live, branded reporting surface an agency stands up per client instead of sending static reports. Covers brand auto-extraction from the client's URL, a three-tier build (Basic/Standard/Advanced), an onboarding feature wizard, a 10-page inventory, public-access tradeoffs, and the retention plays that make the dashboard sticky. Use when "client dashboard", "client intelligence dashboard", "white label dashboard", "client portal", "branded dashboard for my client", "agency dashboard", "build my client a dashboard", "give the client a live view instead of a report", or any request to stand up a durable, client-facing reporting surface.

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 growth product management guidance for SaaS applications. Use when designing growth loops, optimizing activation and onboarding, building retention systems, creating referral mechanics, running growth experiments, defining north star metrics, or implementing PLG strategies. Covers the full growth lifecycle from acquisition to monetization.

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 renewal management guidance for maximizing retention and expansion revenue. Use when building renewal playbooks, forecasting renewal pipeline, structuring multi-year deals, developing pricing strategies, mitigating churn risk, defending against competitive displacement, negotiating contracts, attaching expansion to renewals, or optimizing renewal operations. Covers high-touch and tech-touch renewal motions, early renewal strategies, and save plays.

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 customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.

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 customer lifecycle marketing guidance for retention, expansion, and advocacy. Use when designing onboarding programs, creating upsell strategies, preventing churn, building referral programs, or writing customer success content. Use for NPS programs, win-back campaigns, customer segmentation, and lifecycle email sequences.

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 product analytics strategist for SaaS and digital products. Use when designing product metrics frameworks, funnel analysis, cohort retention, feature adoption tracking, A/B testing, experimentation design, data instrumentation, or product dashboards. Covers AARRR, HEART, behavioral analytics, and impact measurement.

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 building anything USER-FACING (or with persuasion/retention/cancellation/consent/pricing flows, or that touches vulnerable people) to surface design-level harm the security/privacy/compliance gates miss: dark/deceptive patterns and foreseeable misuse. Assumes the product works as designed and asks who it could harm and whether it is Happier-negative. NUDGE, not a block.

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。

Deconstructs SaaS operating metrics including ARR, NRR, gross retention, magic number, rule of 40, and cohort economics. Use when analyzing SaaS businesses, benchmarking software metrics, or evaluating subscription model health.

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。

Deconstructs customer cohort behavior with retention curves, LTV progression, and vintage-over-vintage comparison analysis. Use when analyzing cohort data, assessing customer quality, or modeling lifetime value trajectories.

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 planning, auditing, or speccing a video's motion and visual craft: shot lists, storyboards, color scripts, transitions, easing, kinetic typography, pacing, retention, or animation principles. Triggers: 'video plan', 'shot list', 'storyboard', 'color script', 'motion spec', 'fix the pacing', 'explainer/demo/brand video'. For the spoken words themselves, use script-writer-skill; for in-code UI motion, use frontend-design.

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 the user needs to design, run, or audit product or GTM analytics — metric hierarchies and north stars, funnels, cohort retention, churn, pipeline velocity, forecasting, lead scoring, NRR, A/B tests, or analytical SQL — or uploads a dataset to analyze. Triggers on questions like "why did activation drop", "is this metric meaningful", "review my dashboard", or "what should I measure". For writing the spec that defines a feature's success metrics, use product-spec.

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, classify, and selectively forget stored memories. Covers memory enumeration and classification by type/age/access frequency, staleness detection for outdated references, fidelity checks using external anchors, a decision tree for selective withdrawal, tombstoned deaccession so removed content stays recoverable, counter-memory inoculation for failed strategies that would otherwise be re-derived, preemptive filtering rules for what should never become memories, and an audit trail so forgetting itself is reviewable. Use when memory has grown large and uncurated, when project state has shifted significantly since memories were written, when retrieval quality has degraded, or as periodic maintenance alongside manage-memory.

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。

Interpret a chromatogram from GC or HPLC analysis: verify system suitability parameters, identify peaks by retention time and spectral matching, perform accurate peak integration, calculate chromatographic figures of merit, and assess overall peak quality for reliable quantitation.

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 a person through structured learning of a new topic, technology, or skill. AI acts as learning coach — assessing current knowledge, designing a learning path, walking through material, testing understanding, adapting difficulty, and planning review sessions for retention. Use when a person wants to learn a new technology and does not know where to start, when someone feels overwhelmed by documentation, when a person keeps forgetting material and needs spaced repetition, or when transitioning between domains and needing a gap analysis.

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 GxP training programme covering training needs analysis by role, curriculum design (regulatory awareness, system-specific, data integrity), competency assessment criteria, training record retention, and retraining triggers for SOP revisions and incidents. Use when a new validated system requires user training before go-live, an audit finding cites inadequate training, organisational changes introduce new roles, a periodic programme review is due, or inspection preparation requires demonstrating training adequacy.

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。

Set up centralized log aggregation with Loki and Promtail (or ELK stack), including log parsing, label extraction, retention policies, and integration with metrics for correlation. Use when consolidating logs from multiple services into a searchable system, replacing local log files with centralized queryable storage, correlating logs with metrics and traces, implementing structured logging with label extraction, or troubleshooting production incidents requiring cross-service log analysis.

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 the user wants a course, a learning workspace, or ongoing teaching across sessions, with cited lessons and retention-gated advancement. Not for one-off explanations: use explain-concept.

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。

Decide what to PERSIST in your data structures (graph nodes, DB tables, cache layouts) based on the QUERIES you must answer, not the DEFINITIONS that justify the data. Definitions tell you logical identity; storage strategy is independent. Materializing every definitional component leads to O(N×M) blow-ups that masquerade as memory leaks. Use when: (1) designing a new graph-node type, edge type, DB table, or cache layout; (2) about to name a `subgraph` / `comprises` / `members` / `contains` collection on a parent entity; (3) memory growth proportional to (entities × per-entity-elements); (4) "memory leak" debugging that survives multiple targeted patches — the leak may be storage shape, not retention; (5) pre-implementation sketch includes "for each X, store all reached nodes"; (6) research/spec doc says "X = ⟨A, B, C⟩" and you're tempted to make it three storage edges per X.

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 automated email flows that nurture, convert, and retain. Creates complete sequences for welcome, nurture, launch, re-engagement, and onboarding with subject lines, body copy, timing, and A/B test plans. Use when someone needs email automation, a drip campaign, welcome series, launch emails, post-purchase emails, abandoned cart recovery, or says 'email sequence', 'drip campaign', 'welcome series', 'onboarding emails', 'nurture flow', 'automated emails', 'email marketing', 'retention emails', or 'lifecycle emails'. Even if they just say 'set up emails' or 'email strategy' without specifying 'sequence', this is likely the right skill. Includes deliverability rules and spam avoidance.

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。

You are an expert in user onboarding and activation. Your goal is to help users reach their "aha moment" as quickly as possible and establish habits that lead to long-term retention.

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。

"Perform RFM (Recency, Frequency, Monetary) customer segmentation from transaction data. Use this skill when the user needs to segment customers by purchase behavior, identify high-value buyers, design retention campaigns, or prioritize marketing spend by customer value — even if they say 'who are our best customers', 'which customers are at risk of churning', or 'how do we target our marketing'.".

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。