1,518 件 ・ 関連度順
概要と使いどころ
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 Aws Efs — aWS EFS file system management and performance analysis. Covers file system inventory, mount targets, access points, throughput modes, lifecycle policies, replication configurations, and storage metrics. Use when inspecting EFS file systems, debugging mount issues, reviewing performance settings, or optimizing storage 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 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 Fsx — aWS FSx file system management and health analysis. Covers FSx for Lustre, Windows File Server, NetApp ONTAP, and OpenZFS file systems, volumes, backups, data repository associations, and storage capacity metrics. Use when inspecting FSx file systems, debugging performance issues, reviewing backup configurations, or analyzing storage utilization.
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 Lambda Deep — deep AWS Lambda analysis covering function inventory, cold start profiling, memory optimization, concurrency patterns, layer dependency auditing, dead letter queue health, event source mappings, and cost estimation. Goes beyond basic metrics to identify optimization opportunities.
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 100Ms — 100ms live video and audio infrastructure management for video conferencing, live streaming, and interactive sessions. Use when monitoring active rooms, analyzing session quality, reviewing usage metrics, managing room templates, or troubleshooting 100ms video/audio sessions.
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 Codebuild — aWS CodeBuild project management and build analysis. Covers build project inventory, build history, build phase details, environment configurations, source credentials, report groups, and build metrics. Use when inspecting build projects, debugging build failures, reviewing build environments, or analyzing build 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 Algolia Deep — advanced Algolia search platform management including indices, search analytics, A/B tests, query rules, synonyms, API key audit, and infrastructure monitoring. Covers search performance metrics, relevance tuning, click-through analysis, indexing health, and usage quota 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。
Use when working with Ably — ably real-time messaging platform management covering channels, presence, connections, usage analytics, and account health. Use when monitoring active channels, analyzing connection metrics, reviewing usage quotas, managing Ably apps and keys, or troubleshooting real-time messaging 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。
Use when working with Apache Kudu — apache Kudu cluster management, tablet server health monitoring, table partition analysis, and replication diagnostics. Covers master health, tablet distribution, column encoding efficiency, compaction metrics, and maintenance window scheduling. Read this skill before any Kudu 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。
Use when working with Agora — agora real-time engagement platform management for video/voice calling, interactive live streaming, and real-time messaging. Use when monitoring active channels, analyzing call quality metrics, reviewing usage statistics, managing projects, or troubleshooting Agora RTC sessions.
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。
MANDATORY parallel execution patterns (30x speedup), monitor metrics aggregation, --output tsv formatting, and common pitfalls
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 Rds Deep — aWS RDS deep analysis covering Performance Insights, event subscriptions, proxy management, and global database status. Covers PI counter metrics, wait event analysis, top SQL queries, read replica lag, storage autoscaling, and Aurora-specific diagnostics.
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 Glue — aWS Glue crawler management, ETL job run analysis, Data Catalog exploration, and schema registry management. Covers crawler schedules, job performance metrics, database and table inventory, partition analysis, and connection 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 Aws Step Functions — aWS Step Functions execution analysis, state machine management, error tracking, and performance optimization. Covers execution history, failure investigation, state transition metrics, Express vs Standard comparison, and workflow 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。
Use when working with Azure Devops Boards — azure DevOps Boards work item tracking, sprint analysis, burndown metrics, team velocity, and backlog management via Azure DevOps CLI extension.
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 Monitor — azure Monitor metrics querying, Log Analytics workspace management, alert rule configuration, action groups, and diagnostic settings via Azure CLI.
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 Gcp Cloud Logging — google Cloud Logging log analysis, log-based metrics, sink management, exclusion filters, and log routing configuration via gcloud CLI.
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 Compute Engine VM, Cloud SQL, Persistent Disk, and serverless (Cloud Functions/Cloud Run) utilization to identify right-sizing opportunities. Uses Cloud Monitoring metrics with anti-hallucination rules for E2 shared-core instances, sole-tenant nodes, preemptible/spot VMs, SUD eligibility, peak vs average analysis, CUD-aware savings, and estimated monthly savings calculations.
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 Functions — azure Functions app analysis, execution metrics, consumption plan monitoring, scaling configuration, and deployment management via Azure CLI.
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 Waf — aWS WAF web ACL management, rule analysis, traffic metrics, and IP set management. Covers WAF rule group inspection, rate-based rule configuration, managed rule group analysis, logging status, and blocked request investigation.
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 S3 — aWS S3 bucket analysis, storage class distribution, lifecycle policies, access patterns, and cost optimization. Covers bucket inventory, object metrics, versioning status, encryption audit, public access analysis, and intelligent tiering evaluation.
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 Lambda — aWS Lambda function analysis, invocation metrics, cold start analysis, layer management, and concurrency tracking. Covers function configuration review, error rate analysis, duration percentiles, provisioned concurrency utilization, and deployment package 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 Aws Ses — aWS SES sending statistics, bounce and complaint rate analysis, identity management, configuration set monitoring, and deliverability tracking. Covers sending quota utilization, suppression list management, DKIM/SPF status, and reputation dashboard metrics.
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。