「stat」の検索結果

Use when working with Dbt Cloud — dbt Cloud management — monitor projects, environments, job runs, model status, and data freshness. Use when reviewing job run health, debugging failed models, inspecting run artifacts, or auditing project configuration.

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 working with Coredns — coreDNS server management, zone configuration, plugin chain analysis, query logging, and cache statistics. Covers Corefile inspection, health endpoint monitoring, metrics collection, and forwarding configuration. Read this skill before any CoreDNS operations — it enforces discovery-first patterns, anti-hallucination rules, and safety constraints.

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 working with Crossplane — crossplane Kubernetes-native infrastructure management. Covers managed resources, compositions, provider configurations, composite resource definitions (XRDs), claims, and provider health. Use when managing Crossplane resources, debugging provisioning failures, inspecting compositions, or auditing cloud resource status.

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 working with Changesets — changesets version management covering changeset file inventory, pending version bump analysis, package release readiness, changelog generation status, and monorepo release coordination. Use when auditing pending changesets, investigating release blockers, reviewing version bump strategies, or managing multi-package release 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。

Use when working with Calico — calico networking and security management for Kubernetes. Covers network policy enforcement, BGP configuration, IPAM management, Felix agent status, Typha health, WireGuard encryption, and global network sets. Use when managing Calico network policies, debugging routing issues, configuring BGP peering, or monitoring Felix/Typha 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。

Use when working with Bitbucket Pr Reviews — bitbucket pull request review management including default reviewers, merge checks, branch permissions, and build status integration. Use when configuring or automating Bitbucket PR review workflows across repositories and workspaces.

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 working with Browserstack — browserStack cloud testing platform monitoring and analysis. Covers Automate session management, live testing status, App Automate tracking, build and session analysis, device/browser usage metrics, and account quota monitoring. Use when managing BrowserStack test sessions, reviewing cross-browser results, or monitoring cloud testing infrastructure.

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 working with Aws Control Tower — aWS Control Tower landing zone and account management. Covers landing zone status, enrolled accounts, guardrails (controls), organizational units, baseline configurations, and drift detection. Use when auditing landing zone health, reviewing guardrail compliance, inspecting account enrollment, or troubleshooting Control Tower drift.

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 working with Balena — balena IoT fleet management including applications, devices, releases, services, environment variables, and device diagnostics. Covers fleet deployment status, device connectivity, container health, update progress, and resource utilization across edge devices.

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 working with Aws Codecommit — aWS CodeCommit repository management and analysis. Covers repository inventory, branch details, pull request status, commit history, approval rules, and trigger configurations. Use when inspecting repositories, reviewing pull requests, auditing branch policies, or analyzing commit activity.

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 working with Aws Documentdb — aWS DocumentDB cluster management and health analysis. Covers cluster inventory, instance status, parameter groups, subnet groups, snapshots, event subscriptions, and performance metrics. Use when inspecting DocumentDB clusters, debugging connectivity issues, reviewing backup configurations, or analyzing cluster 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。

Use when working with Bentoml — bentoML model serving and packaging management. Covers service management, model packaging, deployment status, API testing, Bento building, and runner configuration. Use when packaging ML models for serving, deploying BentoML services, debugging inference issues, or managing model artifacts.

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 working with Backblaze B2 — backblaze B2 cloud storage management via the b2 CLI. Covers buckets, files, lifecycle rules, keys, and usage statistics. Use when managing B2 storage or reviewing bucket configurations and costs.

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 working with Betteruptime — better Uptime monitoring, status pages, incident management, on-call scheduling, and heartbeat tracking. Covers monitor configuration, response time analysis, incident lifecycle, on-call rotations, and SLA reporting. Use when managing uptime monitors, reviewing incident history, configuring on-call schedules, or analyzing response times in Better Uptime.

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 working with Better Stack — better Stack (formerly Logtail) for log search, uptime monitoring, incident management, on-call scheduling, and status page management. Covers log querying, monitor configuration, heartbeat checks, escalation policies, and team management. Use when searching logs, managing uptime monitors, handling incidents, or configuring on-call schedules via Better Stack 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。

Use when working with Azure Container Instances — azure Container Instances management covering container group inventory, container status and restart counts, CPU and memory utilization, networking configuration, log retrieval, and GPU allocation tracking. Use for ACI workload monitoring and 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。

Use when working with Banana Dev — banana.dev ML inference platform management covering model inventory, deployment status, API call history, GPU allocation, scaling configuration, build logs, and latency metrics. Use for comprehensive Banana.dev model deployment assessment and inference performance 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 working with Aws Codepipeline — aWS CodePipeline CI/CD pipeline management and execution analysis. Covers pipeline inventory, stage and action status, execution history, pipeline triggers, artifact stores, and action type configurations. Use when inspecting pipeline health, debugging failed stages, reviewing execution history, or auditing pipeline configurations.

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 working with Azure Resource Manager — azure Resource Manager (ARM) template and deployment management. Covers template validation, deployment operations, resource group inspection, what-if analysis, deployment history, and template spec management. Use when deploying ARM templates, reviewing deployment status, analyzing resource groups, or troubleshooting failed deployments.

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 working with Azure Policy Deep — azure Policy deep compliance and governance management. Covers policy definitions, initiatives, assignments, compliance evaluation, exemptions, remediation tasks, custom policies, and regulatory compliance. Use when managing Azure governance at scale, reviewing compliance states, creating custom policies, or troubleshooting policy evaluation results.

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 working with Azure Management Groups — azure Management Groups hierarchy and governance management. Covers management group tree structure, subscription placement, policy assignments, RBAC inheritance, compliance status, and governance auditing. Use when managing Azure tenant hierarchy, assigning policies to management groups, reviewing subscription organization, or auditing inherited access controls.

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 working with Azure Devops — azure DevOps comprehensive management. Covers pipelines, boards, repositories, artifacts, test plans, work item tracking, and release management. Use when checking pipeline status, managing work items, investigating build failures, or auditing Azure DevOps project configurations.

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 working with Baseten — baseten ML deployment platform management covering model inventory, deployment status, autoscaling configuration, inference call history, GPU allocation, environment management, and performance metrics. Use for comprehensive Baseten workspace assessment and ML serving optimization.

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 working with Azure Eventhubs — azure Event Hubs partition analysis, checkpoint management, capture status, consumer group monitoring, and throughput 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。