Skill: OpenSearch
SkillSearchGuides your agent through installing and configuring OpenSearch in KubeSphere for storing logs, events, and audit history.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skill: OpenSearch skill
About this capability
Workflow for OpenSearch (or Elasticsearch) usage: indexing, search, mappings, and tuning. Use when the user asks about OpenSearch/Elasticsearch.
What this skill tells your AI
The instructions your AI receives, as published by girijashankarj/cursor-handbook in .cursor/skills/cloud/opensearch/SKILL.md and read by ahel’s review.
Trigger
When the user asks about OpenSearch/Elasticsearch indexing, search queries, or mapping design.
Steps
- Clarify — Identify use case (full-text search, filters, aggregations, logging).
- Mapping — Propose or review index mapping (keyword vs text, date, nested) per use case.
- Query — Write or adjust query (query DSL or simple term/match); prefer parameterized inputs.
- Operational — Mention index lifecycle, refresh, and sizing if relevant.
Rules
- Do not expose real cluster URLs or credentials; use placeholders.
- Follow project security rules (no secrets in code, env vars for endpoints).
Signals
- GitHub stars
- 30
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
opensearch- Source
- github.com/girijashankarj/cursor-handbook