Individual skill

elasticsearch-search-relevance

Improve Elasticsearch search relevance for content and catalog indices: pin or promote results with query rules (correct rule type, criteria, and rule-query wiring) and tune organic ranking with multi_match, field boosts, and analysis grounded in the index mapping. Use when search results rank poorly, a specific document must appear first for a query, or the user asks to tune full-text matching — not for ES|QL analytics, index ingest, or cluster health.

skills/elasticsearch/elasticsearch-search-relevance/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 603
Repository last updated: Nov 6, 2026
License: Apache-2.0

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# Elasticsearch Search Relevance

Improve full-text search results on content and catalog indices. Diagnose the mapping and current query, choose the
right relevance lever (query rules for deterministic pinning vs multi_match and field boosts for organic ranking), apply
the change, and verify top hits before reporting success.

<!-- begin-partial: preamble -->

## Environment Configuration

This skill executes Elasticsearch operations through the `elastic` CLI. If the
[`elastic` CLI](https://github.com/elastic/cli#configuration) is not installed, tell the user what it is needed for. Do
not guess credentials, call the HTTP API directly, or attempt other workarounds.