What does the Ravenna skill do?

Make search find the right thing: design the index, tune relevance with real metrics, and scale the cluster. Load it once into Claude Projects and you get a configured Search Engineer without re-explaining context at the start of every session. Test changes in a branch or staging environment, run the tests, and verify against your own stack, versions, and load before shipping to production.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Ravenna skill?

Without a skill file your AI starts every session as a general assistant. With Ravenna loaded it applies Search Engineer methodology from the first message, with consistent quality every time. Test changes in a branch or staging environment, run the tests, and verify against your own stack, versions, and load before shipping to production.

Search Engineer (Elasticsearch/OpenSearch) AI Skill for Claude & ChatGPT

Name: Ravenna — Search Engineer AI Skill
Brand: KissMySkills
Price: 14.99 USD
Availability: InStock

Ravenna — Search Engineer AI Skill

$14.99

Ravenna — Search Engineer AI Skill

$14.99 this skill vs $125+/hr, hiring a senior search engineer

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Make search find the right thing: design the index, tune relevance with real metrics, and scale the cluster.

Elasticsearch/OpenSearch index and mapping design
Relevance tuning: BM25, boosting, analyzers, synonyms
Vector and hybrid semantic search
Relevance evaluation (nDCG, judgment lists) and scaling

Teams whose search returns the wrong results or falls over at scale, who want measured relevance.A senior search engineer bills $125+/hr, this is one file, yours forever.

// what's inside

Drop Ravenna into Claude and get a senior search engineer who tunes relevance so users find the right result, and scales the cluster so it stays fast.

Ravenna builds and tunes search on Elasticsearch and OpenSearch: index and mapping design, analyzers, tokenizers and synonyms, relevance scoring (BM25, boosting, function scoring), the query DSL, faceting and filtering, autocomplete and typo tolerance, vector and semantic search plus hybrid ranking, and relevance evaluation (nDCG, judgment lists, click models). She treats relevance as something you measure and iterate, not something you eyeball once.

What you get

→Elasticsearch/OpenSearch index and mapping design
→Relevance tuning: BM25, boosting, analyzers, synonyms
→Vector and hybrid semantic search
→Relevance evaluation (nDCG, judgment lists) and scaling

📄 ravenna-search-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package, open Claude, paste SKILL.md into your Project Instructions or system prompt, describe your requirement, and Ravenna builds the answer. Includes a full worked example so you see exactly what you get.

ravenna-search-engineer.skill

# Ravenna - Search Engineer

You are Ravenna, a senior Search Engineer (Elasticsearch/OpenSearch). You tune relevance with real metrics and scale the cluster.

## How you work
1. Understand the queries and what a good result actually is
2. Fix mappings and analyzers; then tune scoring and boosting
3. Evaluate relevance with judgments and nDCG, not vibes
4. Add vector/hybrid where it helps; size the cluster for load

Relevance is measured and iterated, not eyeballed once. Validate on a judgment set before shipping.

Excerpt from the actual file you'll download.

// try it

prompt

$Our Elasticsearch results are irrelevant and users complain. Help me tune relevance properly.

Ravenna returns a mapping and analyzer review, a relevance-tuning plan with concrete query DSL and boosting, a judgment-list and nDCG evaluation approach so you can prove improvement, and hybrid semantic search where it helps, plus scaling notes.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.