elasticsearch-tutorial
elasticsearch-tutorial is a Messaging & communication channels skill for AI agents, published by elastic in the kibana repository on GitHub. Skillspace rates elasticsearch-tutorial D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Topic-driven, hands-on Elasticsearch tutorial flow that runs in Kibana Dev Console. Use whenever the user says "walk me through", "give me a tutorial for", "teach me", "show me how X works", "tutorial on", or similar topical learning intent — and they are NOT asking you to build their real, specific use case. Topics are open-ended: any Elasticsearch / Kibana search concept the user names (e.g. mappings, analyzers, bool queries, semantic_text, kNN, RRF, aggregations, ingest pipelines, reranking, data streams, ES|QL). Tutorials use sample data on isolated resources, present every step as a SENSE snippet to run in Dev Tools, and end with cleanup plus pointers to docs and the onboarding / pattern skills.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 21,286
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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