「bec」の検索結果

Virtual machine management with KubeVirt on Kubernetes. Use when creating, managing, or troubleshooting VMs running on Kubernetes clusters.

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 Kubernetes autoscaling with HPA, VPA, and KEDA. Use for horizontal/vertical pod autoscaling, event-driven scaling, and capacity management.

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 Kubernetes RBAC, enforce policies, and manage secrets. Use for security reviews, permission audits, policy enforcement with Kyverno/Gatekeeper, and secret management.

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。

Manage Helm charts, releases, and repositories. Use for Helm installations, upgrades, rollbacks, chart development, and release management.

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。

Manage multiple Kubernetes clusters, switch contexts, and perform cross-cluster operations. Use when working with multiple clusters, comparing environments, or managing cluster lifecycle.

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。

Optimize Kubernetes costs through resource right-sizing, unused resource detection, and cluster efficiency analysis. Use for cost optimization, resource analysis, and capacity planning.

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。

Deploy and manage Kubernetes workloads with progressive delivery. Use for deployments, rollouts, blue-green, canary releases, scaling, and release management.

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。

Cluster API lifecycle management for provisioning, scaling, and upgrading Kubernetes clusters. Use when managing cluster infrastructure or multi-cluster operations.

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。

Respond to Kubernetes incidents with runbooks and diagnostics. Use for outages, pod failures, node issues, network problems, and emergency response.

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。

Kubernetes policy management with Kyverno and Gatekeeper. Use when enforcing security policies, validating resources, or auditing policy 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。

Browser automation for Kubernetes dashboards and web UIs. Use when interacting with Kubernetes Dashboard, Grafana, ArgoCD UI, or other web interfaces. Requires MCP_BROWSER_ENABLED=true.

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。

Kubernetes storage management for PVCs, storage classes, and persistent volumes. Use when provisioning storage, managing volumes, or troubleshooting storage 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。

Progressive delivery with Argo Rollouts and Flagger. Use when implementing canary deployments, blue-green deployments, or traffic shifting strategies.

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。

Manage kind (Kubernetes IN Docker) local clusters. Use when creating, testing, or developing with local Kubernetes clusters in Docker containers.

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。

Kubernetes networking management for services, ingresses, endpoints, and network policies. Use when configuring connectivity, load balancing, or network isolation.

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。

Manage vCluster (virtual Kubernetes clusters) instances using vind. Use when creating, managing, or operating lightweight virtual clusters for development, testing, or multi-tenancy.

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。

Cilium and Hubble network observability for Kubernetes. Use when managing network policies, observing traffic flows, or troubleshooting connectivity with eBPF-based networking.

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。

Debug Kubernetes pods, nodes, and workloads. Use when pods are failing, containers crash, nodes are unhealthy, or users mention debugging, troubleshooting, or diagnosing Kubernetes 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。

Manage GitOps workflows with Flux and ArgoCD. Use for sync status, reconciliation, app management, source management, and GitOps troubleshooting.

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。

Kubernetes certificate management with cert-manager. Use when managing TLS certificates, configuring issuers, or troubleshooting certificate 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。

The Jobs-to-be-Done framework as applied product methodology. Job statements, struggling moments, hire and fire criteria, the difference between feature-thinking and job-thinking. Honest about where JTBD adds clarity (discovery, prioritization, positioning) and where it becomes performative ritual (job-statement workshops that do not drive decisions, persona-theater disguised as JTBD). Triggers on jobs-to-be-done, JTBD, job statements, struggling moments, hire criteria, fire criteria, switch triggers, functional emotional social jobs, outcome-driven innovation. Also triggers when a team is over-relying on feature-request lists or persona archetypes that do not drive product decisions, when a positioning conversation needs the framing JTBD provides, or when discovery is producing outputs that do not connect to 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。

Designing in-product tours, tooltips, and contextual help that teach product capabilities without becoming friction. Trigger logic, tour architecture, contextual placement, completion tracking. Honest about tooltip-spam (visual noise that users develop blindness to), one-and-done (help invisible at the moment of need), and contextual-when-needed (surfaces help at the moment friction occurs) patterns. Triggers on product tour, in-product tooltip, contextual help, walkthrough, feature tour, hint system, in-app guidance, tour platform. Also triggers when feature adoption is low, when users miss key product capabilities, or when an in-product help system is being scoped for the first time.

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。

OKR design as actually shipped, not as conference-talk theory. Outcome statements that drive decisions, key results that measure the right thing, scoring discipline, mid-quarter recalibration, and the difference between sandbagged OKRs (always 100%) and aspirational OKRs (always 30%) and stretch OKRs (genuine ambition with quarterly accountability). Triggers on OKR design, OKR setting, key result design, OKR scoring, mid-quarter recalibration, OKR cascading, outcomes vs outputs, quarterly planning, goal setting. Also triggers when a team's OKRs are always hit and producing no learning, when OKRs are demoralizing because they were set as fantasy, or when the team uses OKR vocabulary but the practice has decayed.

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 ISO 42001 AI Management System (AIMS) compliance advisor. Use this skill whenever a user asks about ISO/IEC 42001:2023, AI governance, AI management systems, AI risk assessment, AI system impact assessment, Annex A controls for AI, Statement of Applicability for AI systems, AI policy, responsible AI, AI lifecycle management, AI incident management, AI transparency, AI bias, AI certification readiness, or any topic related to implementing or auditing an AI Management System. Also trigger for questions like "how do I become ISO 42001 certified?", "what controls does ISO 42001 require?", "how do I assess AI risk under 42001?", "what is an AIMS?", or any request involving organisational governance of AI systems, responsible AI frameworks, or AI regulatory compliance aligned to an ISO standard.

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。