387 件 ・ 関連度順
概要と使いどころ
Map the end-to-end customer journey across awareness, consideration, purchase, onboarding, adoption, retention, and advocacy stages. Identify touchpoints, pain points, emotions, and Moments of Truth per stage. Use when designing or improving customer experience. Do not use for internal employee process mapping — use process-mapper instead.
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 tailored SaaS and product marketing ideas across organic, paid, community, partnerships, product-led growth, retention, and launch channels. Use when the user asks for `/marketing-ideas`, marketing brainstorms, launch ideas, channel ideas, growth tactics, or a prioritized marketing 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。
Decide whether a Pulp test earns its place — before writing it, when reviewing one, or when sweeping a subsystem for low-value, duplicated, or mis-routed tests. Applies a four-question authoring gate, a junk-pattern list, a retention bar, and an evidence template for any deletion, and routes kept tests to the right lane (required gate, pr-fast, slow, nightly). Handles "should I add a test for this", "is this test useful", "audit these tests", "reduce test time", "which tests can go", and "move toward functional tests".
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 a task needs the judgment of a Document Management Specialist — designing or auditing a records retention schedule, planning a content migration between DMS platforms (SharePoint, OpenText, Documentum, M-Files), reconciling migrated vs. source document counts, resolving a version-control or legal-hold conflict, or scoping a defensible-disposal (ROT) cleanup.
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 a task needs the judgment of a Clinical Research Coordinator — managing patient recruitment/enrollment against a trial's screen-fail rate, handling a protocol deviation, tracking informed consent and regulatory documentation, or coordinating a multi-visit study schedule against patient retention risk.
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 a task needs the judgment of an Adult ESL/Basic Education Instructor — placing a new adult learner using standardized assessment scores, designing life-context-relevant lesson content for working adults, tracking NRS-reportable level gains, addressing attendance/retention barriers, or preparing a learner for GED/HSE or workplace English benchmarks.
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。
Run customer success — onboarding, health scoring, retention plays, expansion, and churn prevention.
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 mobile CI/CD pipelines for Flutter, React Native, or native iOS/Android — GitHub Actions workflows for testing, code signing, TestFlight/Play Store distribution, build number management, Fastlane integration, and artifact 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。
Analyze volunteer management platforms for skill-based matching algorithms, shift scheduling optimization, availability tracking, and retention 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。
Full nonprofit operational health analysis: validate impact measurement methodology and theory of change, optimize fundraising channels and campaign ROI, audit grant management for compliance and proposal quality, and assess donor retention with churn prediction and stewardship 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。
Audit game analytics and telemetry implementation -- event tracking completeness, FTUE and monetization funnel coverage, retention metric infrastructure, A/B testing framework, heatmap data collection, churn prediction signals, and LTV modeling support..
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 a codebase for product-market fit readiness -- evaluate startup PMF signals, core value loop tightness, feature scatter vs focus ratio, user activation funnel friction, retention hook infrastructure, pricing flexibility, analytics event coverage, CI/CD iteration speed, and growth-stage maturity for pre-seed through Series A products.
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 manufacturing predictive maintenance systems for OPC-UA/MQTT sensor data pipelines, time-series storage retention, ML model lifecycle (training-serving skew, drift detection, retraining triggers), MTBF/MTTF/MTTR reliability calculations, Weibull survival 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。
Analyze nonprofit fundraising software for RFM donor segmentation, campaign performance modeling with A/B testing, recurring giving retention and failed payment recovery, major gift prospect scoring using capacity-affinity-propensity frameworks, event ROI calculation.
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 any product from a Customer Success Manager perspective -- evaluate onboarding flow completeness, self-service help infrastructure, customer health signal tracking, support channel accessibility, expansion and retention triggers, and customer communication systems.
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 feature specs against India's Digital Personal Data Protection (DPDP) Act. Use this skill when: - Writing or reviewing any feature that handles user data (especially children's data) - Auditing a spec's Personal Information section for completeness - Checking a feature against DPDP Act 2023 requirements - Preparing compliance documentation before engineering review - Verifying masking, retention, and consent policies are defined for all PII
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 expansion signals and structure upsell or cross-sell conversations using land-and-expand and Net Revenue Retention principles. Use when user says "upsell", "expansion", "cross-sell", "grow the account", "increase ARR", "find expansion opportunities", "NRR improvement", "upgrade conversation", "add-on", "renewal and expand", or "land and expand" - even if they don't say "expansion discovery" explicitly. Applies to CSMs managing account growth or CS teams building expansion playbooks.
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 customer health signals, identify churn risk flags, and generate an intervention playbook. Use when user says "churn risk", "customer at risk", "red account", "at-risk customer", "health score dropped", "renewal at risk", "customer going dark", "cancel risk", or "what's wrong with this account" - even if they don't say "churn" explicitly. Applies to CSMs triaging accounts or building proactive retention 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。
Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.
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。
Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes and tiering (Standard, Nearline, Coldline, Archive), manage cost and lifecycle, protect data (versioning, encryption/CMEK, retention and Bucket Lock, object holds, soft delete), host static websites, trigger Pub/Sub notifications on object changes, mount buckets as a file system (gcsfuse), or optimize storage performance at any scale. Covers the gcloud storage / gsutil CLI, JSON and XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for block storage (Persistent Disk), data warehousing/analytics (BigQuery), or databases (Cloud SQL, Spanner, Bigtable, Firestore).
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。
Redact PII in your own code before it reaches Agentforce prompts, models, and logs. Trigger keywords: agentforce pii, pii redaction, data masking llm, prompt pii filter, audit pii leakage. NOT for turning on the platform's own masking, zero-retention and audit-trail controls — use agentforce/einstein-trust-layer. NOT for masking PII in a refreshed sandbox — use security/sandbox-data-masking.
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。
Migrating Classic Knowledge (KnowledgeArticleVersion / Article Types) to Lightning Knowledge (Knowledge__kav with record types): article-type-to-record-type mapping, multi-language translation preservation, data category re-architecture, file attachment porting, version and publication-state retention, channel visibility translation, and downstream Case Feed / Community / Bot rewiring. NOT for new Lightning Knowledge setup or editorial publishing workflow design (use admin/knowledge-base-administration).
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 configuring or operating the native Salesforce Data Export Service (Setup → Data Export) — weekly or monthly CSV export, attachment inclusion, file-size split, the 48-hour download window, and the gap between this free utility and the paid Salesforce Backup and Restore product. Triggers: 'data export service', 'weekly export', 'export attachments', 'data export 48 hour download', 'data export missing objects', 'is weekly export a backup', 'bulk api 2.0 query job export', 'data loader extract batch', 'process-conf.xml export', 'incremental export systemmodstamp', 'export inventory retention owner'. NOT for the paid Salesforce Backup and Restore product (use that as a separate tool), NOT for Bulk API extraction (use data/bulk-api-patterns), NOT for HA/DR architecture (use architect/ha-dr-architecture).
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。
Migrating Classic email templates (Text, HTML with Letterhead, Custom HTML, Visualforce email) to Lightning Email Templates (LET) and the Email Template Builder. Covers merge-field translation, Letterhead-to-Enhanced-Letterhead conversion, Visualforce email retention strategy, folder reorganization, sender-context (OrgWideEmailAddress) preservation, and downstream Email Alert / Process Builder / Flow rewiring. NOT for transactional Apex email sending (use apex/apex-outbound-email-patterns) or marketing email broadcasts (use Marketing Cloud / Account Engagement).
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。