Individual skill
elasticsearch-pro-dev
Elasticsearch guidance — index design, mappings, query DSL, aggregations, cluster operations, and performance tuning.
skills/elasticsearch-pro-dev/SKILL.md
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## Overview
Elasticsearch is a distributed search and analytics engine: JSON documents indexed into shards, queried with a rich DSL, aggregated at speed. It powers full-text search, log analytics, and metrics — workloads where relational databases struggle. It's also a distributed system with real operational demands and a query language that rewards precision.
The two disciplines are index design (mappings, analyzers, sharding) and query design (relevance, filters, aggregations). Get the mapping wrong and you're reindexing; get the cluster wrong and you're firefighting. This skill covers both, plus production operations.
## When to use
- Adding full-text search to an application.
- Designing indexes, mappings, and analyzers.
- Writing relevance-tuned queries and aggregations.
- Choosing between Elasticsearch, OpenSearch, Postgres FTS, or Algolia/Typesense.
- Operating clusters (sharding, replicas, upgrades, snapshots).
- Debugging slow queries, shard problems, or mapping explosions.