Cursor Skill

Build search applications and query log analytics data with OpenSearch. Use this skill when the user mentions OpenSearch, search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN, PDF ingestion, document processing, or any related search topic. Also use for log analytics and observability — when the user wants to set up log ingestion, query logs with PPL, analyze error patterns, set up index lifecycle policies, investigate traces, or check stack health. Activate even if the user says log analysis, Fluent Bit, Fluentd, Logstash, syslog, traceId, OpenTelemetry, or log analytics without mentioning OpenSearch.

Build and deploy search applications with semantic, hybrid, neural sparse, and agentic search strategies using OpenSearch. Analyze observability data including log analytics with PPL and Query DSL, and distributed trace analysis with OpenTelemetry. Deploy to Amazon OpenSearch Service or OpenSearch Serverless with Bedrock integration for embeddings and RAG. Just ask your AI assistant to set up a search app, query logs, investigate traces, or deploy to AWS.