5,237 件 ・ 関連度順
概要と使いどころ
Use when working with Apache Pinot — apache Pinot management — monitor cluster health, tables, segments, ingestion jobs, query performance, and controller/broker/server status. Use when debugging ingestion issues, inspecting segment distribution, optimizing query latency, or auditing cluster capacity.
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 Adyen — adyen payment platform management including merchant accounts, payment methods, terminal configuration, risk management, settlement reports, and webhook notifications. Covers authorization rates, payment method performance, fraud scoring, and payout reconciliation.
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 Airflow Deep — apache Airflow deep management covering DAG inventory, task instance monitoring, scheduler health, executor status, pool and variable management, connection auditing, and SLA miss tracking. Use when investigating DAG failures, analyzing task duration trends, monitoring scheduler performance, or auditing Airflow 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 Aws Cloudfront Deep — advanced AWS CloudFront management covering distribution lifecycle, behavior configuration, Lambda@Edge functions, origin groups for failover, real-time logs, field-level encryption, and cache policy optimization. Use for deep CloudFront troubleshooting, performance tuning, advanced origin configuration, or Lambda@Edge debugging.
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 Ambassador — ambassador (Emissary-Ingress) API gateway management covering mappings, hosts, TLS contexts, authentication filters, rate limiting, and Envoy proxy configuration. Use when managing Ambassador/Emissary-Ingress routing, configuring API gateway mappings, debugging routing issues, setting up TLS termination, or analyzing gateway 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 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 Adobe Sign — adobe Acrobat Sign (formerly Adobe Sign) eSignature platform management covering agreements, templates, workflows, users, and audit trails. Use when monitoring agreement status, analyzing signing completion rates, reviewing workflow performance, managing Adobe Sign users, or auditing document signing 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 Apache Druid Deep — apache Druid deep management — monitor cluster health, datasources, ingestion tasks, segments, query performance, and coordinator/overlord status. Use when debugging ingestion failures, inspecting segment distribution, optimizing query latency, or auditing cluster capacity.
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 Azure App Insights — application Insights request performance, dependency tracking, availability tests, smart detection, and failure analysis via Azure CLI and Log Analytics queries.
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 Firestore Deep — google Cloud Firestore document and collection analysis, index management, security rules review, usage monitoring, and performance diagnostics 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。
Use when working with Gcp Cloud Spanner — google Cloud Spanner instance management, query statistics analysis, hot spot detection, schema analysis, and performance diagnostics 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。
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 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 Gcp Alloydb — google AlloyDB cluster management, instance analysis, query insights, maintenance window configuration, and performance diagnostics 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。
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 Gcp Bigquery Deep — google BigQuery job analysis, slot utilization, storage optimization, materialized views, BI Engine capacity, and query performance diagnostics via bq CLI and gcloud.
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 Sql — azure SQL Database DTU/vCore analysis, query performance insights, elastic pool management, geo-replication status, and database health monitoring 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 Athena — aWS Athena query execution analysis, workgroup management, Data Catalog integration, and cost-per-query tracking. Covers query history, performance optimization, workgroup quota management, saved queries, and data scanned 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 Mongodb — mongoDB database analysis, performance tuning, query optimization, and health monitoring. Covers collection analysis, index recommendations, aggregation pipelines, replica set health, Atlas cluster management, and slow query 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 Elasticache Deep — aWS ElastiCache deep analysis for Redis and Memcached clusters, replication health, failover analysis, and performance metrics. Covers node-level metrics, memory utilization, cache hit rates, eviction tracking, connection analysis, and engine-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 Influxdb — influxDB bucket management, Flux query analysis, task management, retention policies, and performance 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。
PostgreSQL database analysis, performance tuning, and health monitoring. You MUST read this entire skill document before executing any PostgreSQL operations — it contains mandatory workflows, safety constraints, and two-phase execution rules that prevent common errors like hallucinated column names and unsafe queries.
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 Snowflake — snowflake data warehouse analysis, query performance tuning, cost optimization, warehouse management, and schema inspection. Covers QUERY_HISTORY analysis, credit consumption, warehouse utilization, storage analysis, data sharing, and Time Travel. Read this skill before any Snowflake operations — it enforces two-phase execution, anti-hallucination rules, and read-only 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。