elasticsearch-search-relevance

Improve Elasticsearch search relevance for content and catalog indices: pin or promote results with...

What this skill does for you

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.

Quoted from the skill description in the pinned source

Who made it

Publisherelastic

Repositoryagent-skills

Installs503as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the elasticsearch-search-relevance skill from elastic/agent-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: baa511126ba2dc37b52e273b52734f8e4e0d323c. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: baa511126ba2dc37b52e273b52734f8e4e0d323c. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: baa511126ba2dc37b52e273b52734f8e4e0d323c. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/elastic/agent-skills
Pinned skill file: View source at revision
Revision: baa511126ba2dc37b52e273b52734f8e4e0d323c
Package hash: sha256:3952f1f2a87870e3379a4a11b7f3e30298dd314717bee90d0ea96b77e659cfff
Licence: Apache-2.0