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opensearch-docs

Skill7 starsChanged 15 days agoMITView on GitHub

Official OpenSearch documentation, answered with links to the exact pages. Use for any OpenSearch question, including Query DSL, mappings and ISM, k-NN vector search and ML Commons, the security plugin, OpenSearch Dashboards, Data Prepper, or migration from Elasticsearch.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Verify plugin and API behavior in the OpenSearch docs.

    line 33

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

OpenSearch Docs

OpenSearch answers drift toward stale Elasticsearch memory and wrong plugin names, so ground each one in the live docs at https://docs.opensearch.org/latest/, not memory, and link the exact page behind every claim.

Route Elastic-licensed Elasticsearch or Kibana features documented only on elastic.co to elasticsearch-docs, MySQL questions to mysql-docs, and PostgreSQL questions to the version's skill (postgresql-16-docs, postgresql-17-docs, or postgresql-18-docs). Amazon OpenSearch Service console operations, Solr, Meilisearch and other search engines belong to their own docs unless the question turns on OpenSearch behavior.

Workflow

  1. Locate the question in references/topic-map.md, a selective index of docs entry points. Done when each part of the question maps to a section of the map, or you have noted that none fits.
  2. Search docs.opensearch.org/latest with the user's exact terms plus OpenSearch vocabulary such as Query DSL, k-NN, ISM, security plugin, index template, or ML Commons, starting from the map's pages and the Routing rules below. Done when you hold the one page that most directly answers each part.
  3. Read each page down to the relevant section. Done when you have read the passage behind every claim you will make. When a page has moved, been renamed, or stops short, say so and link the nearest authoritative pages.
  4. Answer with the direct answer first, each docs link beside the claim it supports, and API requests, mappings or security configuration only when the user asks or the page needs them. Mark any conclusion that joins several pages as Inference:. Done when every claim cites a specific page, not the docs home.

Routing

  • Versions: the latest docs, unless the user names a specific version.
  • REST API questions: the API reference, before forum posts or Elasticsearch docs.
  • Plugin behavior: the plugin's own docs, before core cluster defaults.
  • Data modeling: the mappings and index management docs.
  • Query behavior: the Query DSL docs, before syntax recalled from Elasticsearch.
  • Vector search: the vector-search docs and k-NN plugin pages.
  • Security: the security plugin docs, before generic TLS guidance.
  • Dashboards: the OpenSearch Dashboards docs, not Kibana pages.
  • Migration: Migration Assistant and the version-specific upgrade guides.

Gotchas

  • Verify plugin and API behavior in the OpenSearch docs; it differs from Elasticsearch in places.
  • Name features in OpenSearch Dashboards terms; Kibana feature names do not carry over.
  • Recommend current index settings; deprecated index types and settings from older Elasticsearch versions are not current guidance.
  • ML Commons, k-NN, and neural search are distinct features; check the docs for which one applies.
  • Answer authentication and TLS questions through the security plugin.
  • Amazon OpenSearch Service may lag or restrict plugins; confirm support there before recommending a plugin for the managed service.

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