elasticsearch-index-design
Design and review Elasticsearch index mappings for stated access patterns: correct field types, text+keyword multi-fields, doc_values tuning, mapping-explosion avoidance, and explicit shard settings. Use when creating a new index, reviewing a mapping for storage or query performance, fixing wrong field types, or when the user asks which type to use for search, filter, sort, or aggregation on a field.
Install
With your agent
Install OMGSkills skill "elastic/claude-plugin:skills/elasticsearch/elasticsearch-index-design" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/elastic/claude-plugin /tmp/claude-plugin && ln -s /tmp/claude-plugin/skills/elasticsearch/elasticsearch-index-design ~/.claude/skills/elasticsearch-index-designFrom README
Elasticsearch Index Design Design explicit index mappings from access patterns, review existing mappings for type and storage mistakes, and apply corrections through a new index plus reindex when field types must change. 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. Process Gather access patterns per field. Before choosing types, list how each field is used. For every field capture: Search — full-text match, phrase, relevance scoring?
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