index-design

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Mis à jour23 février 2026 à 13:32

Guide optimal index mapping and design for Elasticsearch

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Source

patrykkopycinski

patrykkopycinski/elastic-cursor-plugin

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Architectes de bases de donnéesProfessions informatiques et mathématiques·SOC 15-1243

SKILL.md

readonly

name	index-design
description	Guide optimal index mapping and design for Elasticsearch

Index Design

Use when the user wants to design or optimize Elasticsearch index mappings and settings.

1. Prompt

Clarify: use case (search, vectors, logs, metrics), query patterns, and scale (doc volume, QPS).
Identify key fields: full-text vs keyword, numeric, date, nested, dense_vector.

2. Provision

Use get_mappings on existing indices if they are refining; otherwise design from scratch.
Apply index-design rules: keyword for exact/facet, text with right analyzer for search, dense_vector with correct dimensions, avoid unnecessary nested if not required.

3. Integrate

Use create_index with the designed mappings and settings (number_of_shards, refresh_interval if needed).
Document: dynamic mapping behavior, runtime fields vs indexed fields, and when to use copy_to for combined search.

4. Validate

Index sample docs and run representative queries with search or esql_query.
Suggest index templates and ILM for time-based indices if applicable.

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name	index-design
description	Guide optimal index mapping and design for Elasticsearch

Index Design

Use when the user wants to design or optimize Elasticsearch index mappings and settings.

1. Prompt

Clarify: use case (search, vectors, logs, metrics), query patterns, and scale (doc volume, QPS).
Identify key fields: full-text vs keyword, numeric, date, nested, dense_vector.

2. Provision

Use get_mappings on existing indices if they are refining; otherwise design from scratch.
Apply index-design rules: keyword for exact/facet, text with right analyzer for search, dense_vector with correct dimensions, avoid unnecessary nested if not required.

3. Integrate

Use create_index with the designed mappings and settings (number_of_shards, refresh_interval if needed).
Document: dynamic mapping behavior, runtime fields vs indexed fields, and when to use copy_to for combined search.

4. Validate

Index sample docs and run representative queries with search or esql_query.
Suggest index templates and ILM for time-based indices if applicable.