Agent skill · data analytics · personamanagmentlayer
elasticsearch-expert
Expert-level Elasticsearch, search, ELK stack, and full-text search. Use when the user mentions search, ELK, Logstash, Kibana, or full text search.
Why this skill is useful
Provides specific Elasticsearch commands and best practices that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-03-30. 41 stars on the source repository.
What this skill does
Elasticsearch Expert Expert guidance for Elasticsearch, search optimization, ELK stack, and distributed search systems. Core Concepts Full-text search and inverted indexes Document-oriented storage RESTful API Distributed architecture with sharding ELK stack (Elasticsearch, Logstash, Kibana) Aggregations and analytics Index Management Search Queries Aggregations Best Practices Design mappings carefully Use appropriate analyzers Implement proper sharding strategy Monitor cluster health Use bulk operations Implement pagination with searchafter Cache frequently used queries Anti-Patterns ❌ Deep pagination with from/size ❌ Wildcard queries without prefix ❌ No replica shards ❌ Over-sharding ❌ Not using filters for exact matches ❌ Ignoring cluster yellow/red status Resources Elasticsearch Guide: https://www.elastic.co/guide/ ELK Stack: https://www.elastic.co/elk-stack
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills personamanagmentlayer/elasticsearch-expert