3,094 件 ・ 関連度順
概要と使いどころ
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 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 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 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 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 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 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 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 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 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 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 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 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 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 Mariadb — mariaDB Galera cluster status, MaxScale routing, ColumnStore engine analysis, performance schema tuning, and replication 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 Couchbase — couchbase bucket analysis, index advisor, N1QL query performance, XDCR status, and cluster health 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 Clickhouse — clickHouse table analysis, MergeTree optimization, query performance tuning, parts management, and cluster 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 Druid — apache Druid datasource analysis, ingestion task management, supervisor status, segment management, and query 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 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。
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。
Use when working with Redshift — amazon Redshift query performance, WLM configuration, table design analysis, vacuum/analyze status, and cluster 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 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 Cloudfront — aWS CloudFront distribution analysis, cache hit ratio monitoring, origin health checks, invalidation management, and performance optimization. Covers distribution inventory, behavior configuration, SSL certificate status, geo-restriction, and real-time 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。
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。