「covering」の検索結果

Expert NIST AI Risk Management Framework (AI RMF 1.0) advisor covering all four functions: GOVERN, MAP, MEASURE, MANAGE. Use this skill whenever a user asks about NIST AI RMF, AI risk management, AI trustworthiness, GOVERN function, MAP function, MEASURE function, MANAGE function, AI RMF Playbook, AI risk profiles, responsible AI, AI bias management, AI transparency, AI explainability, AI reliability, AI safety, NIST AI 100-1, AI risk assessment, AI incident response, or alignment to EU AI Act, ISO 42001, or NIST CSF via AI RMF. Trigger even if the user doesn't say "skill" — any NIST AI RMF or AI governance risk question should use this skill.

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 PCI DSS compliance advisor covering PCI DSS v4.0.1 (current) and v4.0. Use this skill whenever a user asks about PCI DSS, payment card security, cardholder data protection, CDE scoping, SAQ types (A, A-EP, B, B-IP, C, C-VT, P2PE, D), ROC, AOC, QSA assessments, ASV scans, merchant levels, service provider levels, network segmentation, penetration testing, tokenisation, encryption of PAN data, or any of the 12 PCI DSS requirements. Also trigger for questions like "are we PCI compliant?", "how do I scope my CDE?", "which SAQ applies to us?", "what changed in PCI DSS v4.0?", "how do I prepare for a QSA audit?", or any request involving payment data security, cardholder data environment, or PCI certification readiness.

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。

CAPA system management for medical device QMS, covering root cause analysis, corrective action planning, and effectiveness verification. Use for CAPA investigations, 5-Why and fishbone analysis, and corrective action tracking.

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。

Document control for medical device QMS, covering numbering, version control, change management, and 21 CFR Part 11 compliance. Use for document control procedures, change control workflows, and electronic signature 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。

DORA (EU 2022/2554) digital operational resilience compliance for financial entities, covering all 5 pillars. Use for DORA readiness assessments, ICT risk management, incident classification, and third-party ICT oversight.

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。

FDA regulatory consultant for medical device companies, covering 510(k)/PMA/De Novo pathways, QSR (21 CFR 820), HIPAA, and device cybersecurity. Use for FDA submissions, predicate and substantial-equivalence analysis, and premarket strategy.

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。

NIS2 Directive (EU 2022/2555) compliance for critical infrastructure entities, covering the 10 minimum security measures. Use for NIS2 compliance assessments, entity scope analysis, supply chain security, and incident reporting readiness.

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。

UX research and design toolkit covering persona generation, journey mapping, usability testing, and research synthesis. Use for user research, persona creation, journey mapping, or design validation.

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。

UI design system toolkit covering design tokens, component documentation, responsive calculations, and developer handoff. Use for creating design systems, maintaining visual consistency, or facilitating design-dev handoff.

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, execute, and optimize paid ad campaigns across Google, Meta, LinkedIn, Twitter/X, and TikTok, covering targeting, budget, bid strategies, and retargeting. Use when running PPC campaigns, setting up ad accounts, or optimizing ROAS/CPA.

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。

Systematic copy editing through focused passes (the Seven Sweeps Framework) covering clarity, voice, proof, specificity, and friction removal. Use when editing marketing copy, reviewing drafts, polishing content, or proofreading.

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。

Marketing analytics covering campaign analysis, attribution and marketing mix modeling, ROI measurement, and performance reporting. Use when analyzing campaign ROI, comparing attribution models, or optimizing budget allocation.

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 manager toolkit covering RICE prioritization, customer interview analysis, PRDs, and discovery frameworks. Use for feature prioritization, user research synthesis, requirement documentation, or product strategy.

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。

Growth marketing covering experimentation, funnel optimization, acquisition channels, retention, and viral growth. Use when designing A/B experiments, optimizing AARRR funnel stages, or prioritizing channels by CAC and LTV.

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。

SEO covering technical SEO, content optimization, link building, keyword research, and search analytics. Use when auditing technical SEO, researching keywords, optimizing on-page elements, or analyzing organic search 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。

Technical SEO auditing covering crawlability, indexation, Core Web Vitals, on-page optimization, and competitive gaps, with an 85-point checklist and remediation plans. Use when auditing technical SEO or diagnosing indexation issues.

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。

Brand strategy covering positioning, identity, brand architecture, messaging frameworks, and governance. Use when developing brand positioning, creating messaging frameworks, auditing brand health, or building brand 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。

Write and optimize B2B cold email outreach sequences that get replies, covering personalization, follow-up cadence, deliverability, and compliance. Use when writing cold outreach, prospecting/SDR emails, or building outbound 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。

Use when the user asks to "build a mobile app", "scaffold React Native project", "create SwiftUI views", "set up Jetpack Compose", "optimize mobile performance", "configure Expo Router navigation", "implement offline-first storage", "submit to App Store", or "profile mobile rendering". Expert mobile development covering iOS (Swift/SwiftUI), Android (Kotlin/Compose), React Native, and Flutter for native and cross-platform 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。

Computer vision engineering for object detection, segmentation, and visual AI, covering CNN and Vision Transformer architectures and ONNX/TensorRT deployment. Use when building detection pipelines, training models, or optimizing inference.

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 asks to "design cloud architecture", "set up Terraform infrastructure", "optimize cloud costs", "plan disaster recovery", "configure multi-region failover", "audit IAM policies", "migrate to cloud", "set up VPC networking", "compare AWS vs GCP vs Azure", or "right-size cloud instances". Expert cloud architecture covering AWS, GCP, Azure, multi-cloud strategy, cost optimization, security, and infrastructure automation.

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 operational runbooks from codebase analysis covering deployment, incident response, scaling, and monitoring, with copy-paste commands and rollback steps. Use when bootstrapping ops docs, preparing for on-call, or post-incident.

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 asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model performance", "set up MLOps pipeline", "analyze time series", "calculate sample size", or "deploy a model to production". Expert data science covering statistical modeling, experimentation, causal inference, feature engineering, ML deployment, and advanced analytics with Python, R, and SQL.

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。

Multi-agent DAG orchestration for workflows where AI agents collaborate via dependency graphs, covering agent spawning, output merging, and quality evaluation. Use when a task needs multiple specialized agents or to parallelize AI work.

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。