「aging」の検索結果

Use when working with Chronicle — google Chronicle SIEM security operations, threat detection, asset investigation, and log analysis. Covers UDM search queries, detection rule management, asset and IOC lookups, reference list management, and retrohunt execution. Use when investigating security events, reviewing detection rules, searching for IOCs, or analyzing Chronicle data ingestion 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 Cloudflare Workers Deep — deep analysis of Cloudflare Workers deployments including script inventory, route mappings, KV namespace usage, Durable Objects, cron triggers, CPU time metrics, and error rate tracking. Use for comprehensive Workers platform health checks and 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 Budibase — budibase low-code platform management covering application inventory, table and datasource health, screen layout analysis, automation monitoring, and user role auditing. Use when reviewing internal app configurations, investigating data connectivity issues, monitoring automation runs, or auditing user 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 Celery — celery worker management, task monitoring, queue routing, Flower dashboard analysis, and task result 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 Braintree — braintree payment gateway management including transactions, subscriptions, customers, payment methods, disputes, settlements, and merchant account configuration. Covers transaction success rates, decline analysis, settlement reporting, and fraud tool monitoring.

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 Caddy — caddy web server management, automatic TLS certificate handling, reverse proxy configuration, site management, and plugin inspection. Covers Caddyfile analysis, admin API usage, access logs, and upstream health monitoring. Read this skill before any Caddy 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 Chroma — chroma vector database management, collection inspection, embedding analysis, and query performance monitoring. Covers collection metadata, document counts, distance metrics, index health, and tenant/database configuration. Read this skill before any Chroma 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 Close Crm — close CRM management including leads, contacts, opportunities, activities, sequences, smart views, and custom fields. Covers pipeline velocity, calling metrics, email outreach performance, sequence engagement, and team productivity 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 Kinesis — aWS Kinesis stream management, shard analysis, consumer lag monitoring, enhanced fan-out configuration, 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。

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 Aws Iot Core — aWS IoT Core management including things, thing groups, certificates, policies, rules, topic monitoring, device shadows, and fleet indexing. Covers device connectivity health, message throughput, rule action errors, certificate expiration, and shadow drift 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 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 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。

Use when working with Aws Ses Deep — advanced AWS SES management including sending quotas, identity verification, configuration sets, dedicated IPs, reputation dashboard, suppression list, email receiving rules, and deliverability advisor. Goes beyond basic SES to cover DKIM/DMARC compliance, event publishing, and virtual deliverability manager.

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 Entra — azure Entra ID (formerly Azure AD) management for user lifecycle, app registrations, service principals, conditional access policies, sign-in log analysis, and directory role assignments. Covers B2B guest users, enterprise applications, and security configuration review. Read this skill before any Entra ID operations — it enforces discovery-first patterns and strict read-only safety 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 working with Aws Inspector — aWS Inspector vulnerability management and finding analysis. Covers Inspector v2 coverage, vulnerability findings, finding summaries, scan configurations, suppression rules, and coverage statistics. Use when auditing vulnerability posture, reviewing Inspector findings, checking scan coverage, or analyzing security vulnerabilities across EC2, ECR, and Lambda resources.

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 Boards Deep — deep Azure Boards management covering work items, sprints, backlogs, queries, and team velocity analytics. Use when performing deep audits of Azure DevOps Boards, analyzing sprint health, reviewing backlog grooming, or assessing team capacity and velocity across Azure DevOps projects.

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 Gamelift — aWS GameLift fleet management including game server deployments, fleet scaling, matchmaking configuration, game session monitoring, and player session tracking. Covers fleet health, capacity utilization, matchmaking metrics, and cost 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 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 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 Aws Data Pipeline — aWS Data Pipeline workflow management and execution analysis. Covers pipeline inventory, pipeline definitions, execution status, object status, task runner health, and pipeline scheduling. Use when inspecting data pipeline health, debugging failed executions, reviewing pipeline definitions, or auditing pipeline schedules.

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 Bigcommerce — bigCommerce store management including products, orders, customers, channels, shipping, inventory, storefront themes, and webhooks. Covers sales analytics, order fulfillment rates, inventory health, and multi-channel performance comparison.

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 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。