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Found 49 Skills
Alibaba Cloud Elasticsearch instance diagnosis skill. Use for cluster health checks, troubleshooting, and performance analysis on Elasticsearch instances. Triggers (English): Elasticsearch diagnosis, ES instance issues, slow search, write failures, cluster Red/Yellow, unassigned shards, node disconnected, load imbalance, thread pool 429, JVM/OOM/circuit breaker, disk watermark / read-only index, instance activating / change stuck, service avalanche / all shards failed. 触发词（中文）: ES诊断、阿里云ES、Elasticsearch诊断、ES集群/实例故障排查、ES健康检查、集群红灯/变红/黄灯/变黄、集群异常、分片未分配、主分片未分配、节点掉线/离线、负载不均衡、搜索/查询变慢、慢查询、写入失败/变慢/拒绝、线程池打满、HTTP 429、内存过高、OOM、断路器、磁盘满/水位、索引只读、实例激活中/activating、变更卡住/未完成、雪崩、服务不可用、all shards failed。
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing, custom transforms, and cross-version reindexing. Use when loading files, batch importing data, or migrating indices across versions — not for general ingest pipeline design or bulk API patterns.
Alibaba Cloud Elasticsearch Instance Network Management Skill. Use for managing ES instance network configurations including triggering network, Kibana PVL network, white IP list, HTTPS settings, and Kibana SSO authentication. Triggers: "elasticsearch network", "ES network", "kibana pvl", "white ip", "https", "trigger network", "modify white ips", "kibana sso", "kibana authentication".
Spring Data Elasticsearch for full-text search and analytics. Covers ElasticsearchOperations, repositories, aggregations, and index management. USE WHEN: user mentions "spring data elasticsearch", "ElasticsearchRepository", "ElasticsearchOperations", "@Document elasticsearch", "Spring Boot Elasticsearch" DO NOT USE FOR: raw Elasticsearch queries - use `elasticsearch` instead, ELK stack setup - use `elasticsearch` instead
Elasticsearch expert for queries, mappings, aggregations, index management, and cluster operations
Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy.
Ingest and transform large data files (CSV/JSON) into Elasticsearch indices. Stream-based processing for files up to 30GB, cross-version migration (ES 8.x ↔ 9.x), custom JavaScript transformations, and reindexing with transforms. Use when you need to load data into Elasticsearch, migrate indices, or transform data during ingestion.
Optimizes Magento 2 indexing for search performance and database efficiency. Use when optimizing search performance, configuring Elasticsearch, designing database indexes, or improving reindexing strategies. Masters indexer optimization, Elasticsearch configuration, and database indexing.
Manages existing Elastic Cloud Serverless projects: list, get, update, delete, reset credentials, resume, and load saved credentials. Connects to existing projects by resolving endpoints and acquiring scoped Elasticsearch API keys. Use when performing day-2 operations on serverless projects, connecting to an existing project, loading or resetting project credentials, or looking up project details.
Use when designing or modifying Elasticsearch ingest pipelines, including single-path parsing, branching logic, sub-pipelines, enrichment processors, and robust on_failure handling.
Query video analytics data and metrics from Elastic search via the VA-MCP server (port 9901). This includes incidents, alerts, sensor data, and metrics. Use for any question about violations, alerts, incidents, object counts, speeds, occupancy, or anything that requires looking up recorded events. This is the primary way to answer a question that requires incidents, alerts and other metrics such as people counts and violations.
Elasticsearch and Elastic APM integration with Serilog structured logging for .NET applications. Use when: (1) Implementing or configuring Serilog with Elasticsearch sink, (2) Setting up Elastic APM with data streams and authentication, (3) Creating logging extension methods in Infrastructure layer, (4) Enriching logs with app-name and app-type properties, (5) Configuring log levels and environment-specific logging, (6) Questions about logging security (PII, credentials), or (7) Troubleshooting observability and monitoring setup.