863 件 ・ 関連度順
概要と使いどころ
Generate a production-grade OEE (Overall Equipment Effectiveness) measurement pipeline for a manufacturing line — data ingestion from MQTT/OPC-UA/Modbus/CSV, A×P×Q calculation engine, Six Big Losses categorizer, MTBF/MTTR/TEEP metrics, Grafana or Streamlit dashboard.
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。
Analyze debt payoff software — avalanche vs snowball strategy engines, interest calculation accuracy, amortization schedules, payment scheduling automation, credit score impact modeling, hardship accommodation workflows, and progress visualization.
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 carbon accounting and emissions tracking software for Scope 1/2/3 calculation accuracy, GHG Protocol compliance, offset verification, supply chain emissions, reporting standards (CDP, TCFD, GRI, SASB, SEC), reduction target tracking, and audit trail integrity..
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 an institutional-grade commercial real estate underwriting model — input schema (T-12 income, T-3 trailing, rent roll, debt terms, exit assumptions), calc engine (Cap Rate, NOI, Cash-on-Cash, IRR, DSCR, Debt Yield, ROI, Equity Multiple, levered & unlevered returns).
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 catastrophe modeling systems for natural disaster exposure, PML estimation, and reinsurance optimization. Use when: 'assess cat model', 'evaluate disaster exposure', 'review PML calculations', 'audit reinsurance program', 'check exposure data quality', 'analyze hurricane/earthquake risk models', 'evaluate Oasis or RMS setup'.
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 QA quality dashboards, calculate defect metrics, analyze escape rates, and produce quality trend reports. Use this skill whenever a QA lead or manager needs to measure and communicate quality outcomes. Trigger on phrases like "quality metrics", "defect density", "escape rate", "bug trends", "quality dashboard", "sprint quality report", "test coverage metrics", "QA KPIs", "how is quality trending", "defect leakage", "production bugs this quarter", "mean time to detect", "quality scorecard", or any request to quantify, visualize, or report on the quality of a product or testing process. Also trigger when a manager asks "how is QA performing?" or an engineering lead asks "what does our defect data tell us?".
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 statistically rigorous experiments to test data science hypotheses. Use when the user says "design an A/B test", "run an experiment", "test this hypothesis", "is this difference significant", "how many samples do I need", "randomized controlled trial", "causal inference", "uplift test", "holdout group", "significance test", "power calculation", "avoid p-hacking", or needs to determine whether an observed effect is real before making a product or model decision.
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 business case with costs, benefits, and ROI. Use when the user says "cost-benefit analysis", "business case", "ROI calculation", "is this worth it", "justify the investment", "payback period", "benefits realization", "financial justification", "total cost of ownership", "should we build or buy", "investment appraisal" - even if they don't explicitly say "CBA".
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。
Read and write Cal.com: list bookings and event types, create bookings. Trigger phrases: cal.com, my bookings, schedule a call.
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。
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging.
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。
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management 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。
Use this skill when configuring or troubleshooting NPSP soft credits, partial soft credits, or matching gift workflows — including OpportunityContactRole-based credit attribution, npsp__Partial_Soft_Credit__c records, and the Find Matched Gifts process. NOT for gift entry templates or batch gift entry — use admin/gift-entry-and-processing. NOT for importing historical gifts and credits — use data/gift-history-import.
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 this skill when gathering, structuring, and documenting requirements for a Financial Services Cloud (FSC) wealth management implementation — including financial planning workflow discovery, portfolio review process mapping, client lifecycle requirements, advisor tooling needs, and FSC architecture determination (managed package vs. FSC Core). Trigger keywords: wealth management requirements, FSC requirements gathering, financial planning workflow, portfolio review process, advisor tools setup, FSC data model scoping, wealth management process mapping. NOT for implementation, configuration, or code — use financial-account-setup, fsc-action-plans, or apex/fsc-financial-calculations for those. NOT for FSC architecture decisions — use architect/wealth-management-architecture. NOT for Health Cloud or NPSP 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。
Use when designing or refactoring Salesforce access architecture around minimal profiles, permission sets, permission set groups, muting, and assignment governance. Triggers: 'profile sprawl', 'permission set strategy', 'PSG architecture', 'access bundle design', 'least privilege', 'how to slice permission sets', 'permission set naming convention', 'permission set license restriction', 'PSG status Outdated', 'permissionset-meta.xml'. NOT for PSG muting mechanics and recalculation order — use admin/permission-set-group-composition. NOT for record-sharing model design — use admin/sharing-and-visibility. NOT for time-boxing an assignment — use admin/permission-set-expiration.
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。
Rebate Management setup: rebate types, payout calculations, accruals, partner rebates, program setup, compliance reporting. NOT for Sales Agreements or channel revenue management — use integration/manufacturing-cloud-setup. NOT for CPQ discounts on quotes — use admin/cpq-pricing-rules.
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 designing or maintaining the role hierarchy as a record-access mechanism. Trigger keywords: role hierarchy, manager cannot see subordinate records, grant access using hierarchies, role reparenting, portal role, how deep should the role hierarchy be, design the role hierarchy. NOT for territory models - use admin/enterprise-territory-management. NOT for rule-based grants - use admin/sharing-rules. NOT for the overall model - use admin/sharing-and-visibility.
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 re-assigning record OwnerId across many records — territory realignment, employee departure, region split, integration cleanup. Triggers: 'mass transfer accounts', 'reassign opportunities to new owner', 'transfer all records on user deactivation', 'OwnerId migration', 'mass transfer records tool', 'bulk owner change', 'transfer before deactivating user', 'account team lost after owner change', 'assignment rule overrode my OwnerId column', 'defer sharing calculations', 'roll back an owner transfer'. NOT for auto-assigning new records — use admin/assignment-rules. NOT for territory assignment data — use data/territory-data-alignment.
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。
Configure pricebooks, tiered pricing, promotions, coupon codes, and cart discounts for B2B or D2C Commerce stores. Trigger keywords: WebStorePricebook, BuyerGroupPricebook, PriceAdjustmentSchedule, PromotionsCartCalculator, commerce coupon, cart-level discount, tiered price, Commerce promotion. NOT for Sales Cloud pricebooks and PricebookEntry - use admin/products-and-pricebooks. NOT for CPQ quote pricing and discount schedules - use admin/cpq-pricing-rules.
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 troubleshooting Salesforce CPQ contract creation, subscription management, amendment quotes, or renewal quotes. Trigger keywords: contract, amendment, renewal, subscription, co-termination, SBQQ__Subscription__c. NOT for designing the amendment/renewal architecture or swap pattern — use architect/subscription-management-architecture. NOT for amending or renewing contracts from Apex — use apex/cpq-api-and-automation. Also covers the standard Contract and Order objects underneath CPQ — Contract Status vs StatusCode, activation locking, EndDate auto-calculation, ContractSettings and OrderSettings, reduction orders, and renewal-reminder automation. Trigger keywords: Contract, ContractStatus, StatusCode, ActivatedDate, OwnerExpirationNotice, ContractTerm, EndDate, Order, OrderItem, reduction order, ContractSettings, OrderSettings, renewal reminder. NOT for Revenue Cloud or Subscription Management objects — use architect/revenue-cloud-architecture and architect/subscription-management-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。
Create, filter, refresh, and activate audience segments in Salesforce Data Cloud: segment types (Standard, Real-Time, Waterfall, Dynamic, Data Kit), segment refresh schedules, activation field mapping, audience publishing. NOT for the SQL metrics a segment filters on - use admin/data-cloud-calculated-insights. NOT for ingestion, DLO to DMO mapping and identity resolution - use data/data-cloud-data-streams.
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。
Router for the 34 SfSkills `omnistudio` skill packages. OmniStudio: OmniScripts, FlexCards, DataRaptors, Integration Procedures, Business Rules Engine and DataPack deployment. Use when the request mentions OmniStudio, OmniScript, FlexCard, DataRaptor, Integration Procedure, Business Rules Engine, calculation procedure, DataPack, Vlocity. Finds and opens the exact skill package to read; it does not contain the guidance itself.
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。
Router for the 49 SfSkills `security` skill packages. Platform security and compliance: org hardening, encryption, session policy, MFA, monitoring, incident response, and TROUBLESHOOTING a specific record-access denial. Designing the sharing model itself (OWD, role hierarchy, sharing rules) is salesforce-admin. Use when the request mentions security, org hardening, Shield, platform encryption, field audit trail, MFA, SSO, SAML, session policy, guest user, event monitoring, GDPR, XSS, injection, why can this one user see this record, Apex managed sharing, sharing recalculation. Finds and opens the exact skill package to read; it does not contain the guidance itself.
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。
Aggregate friction log files across a time period to identify recurring patterns, classify each cluster by intervention type, produce a prioritized action plan with success criteria, and calculate convergence metrics. Complements `skmtc-retro` (which captures per-session signal) by acting as the system's actuator: turning accumulated observations into decisions. The primary output is a review document that makes the "is it getting better?" question answerable. Use this skill when the user asks to "review retros", "review friction", "run a retro review", "what's the pattern across sessions", "what should we fix next", or on a periodic cadence (monthly, pre-release). Also run after a cluster of sessions on the same feature area to surface systemic issues before they compound. Distinct from `skmtc-retro` — that skill captures per-session observations; this skill synthesizes them into decisions. Do not run this skill as a substitute for a per-session retro.
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。