数据与研究

elasticsearch-search-relevance

elastic/agent-skills

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.

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安装命令

npx skills add https://github.com/elastic/agent-skills --skill elasticsearch-search-relevance

SKILL.md

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.

Environment Configuration

This skill executes Elasticsearch operations through the elastic CLI. If the elastic CLI is not installed, tell the user what it is needed for. Do not guess credentials, call the HTTP API directly, or attempt other workarounds.

This skill references operations in HTTP-shorthand form (e.g., GET /, GET /_cat/indices, GET /{index}/_mapping, GET /{index}/_settings/index.mode, POST /_query). The Operations table at the end of this document maps each shorthand to the equivalent elastic CLI command — always use the CLI rather than calling the HTTP API directly.