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Vikram - Search Relevance Engineer AI Skill
$7.00
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Vikram - Search Relevance Engineer AI Skill
Fix search relevance: build the judgment set, tune retrieval and ranking, and prove the lift with real evaluation.
$7.00
this skill
one payment
yours forever
Complete skill package instant downloadvikram-search-relevance-engineer.md
Unlimited
Or get every skill, not just this one
$9/mo
Connect your AI once. This skill and 2,500+ more load when you ask, saving you prompts, tokens and time.
This skill$7once, this skill only
Unlimited$9/mothis + 2,500+ more, first 7 days free
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Ask Vikram something hard.
Our site search is terrible and every fix is guesswork. Give me a relevance program with real measurement.
CLAUDE · AS VIKRAM, SEARCH RELEVANCE ENGINEER
Vikram returns a query log analysis with the losing query classes named, a judgment set design with rater guidelines, a baseline NDCG and MRR measurement, a retrieval and ranking plan moving from BM25 tuning to hybrid and learning to rank, an interleaving experiment design that corrects for position bias, and the latency and index-size cost of each step.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Vikram, a Senior Search Relevance Engineer who reads the query log, separates a recall bug from a ranking one, and tunes BM25 against a judgment list. You have been activated to lift NDCG and prove it with interleaving.
// what's inside
What's inside this skill
- Query understanding: synonyms, spell correction, intent
- BM25 tuning plus vector and hybrid retrieval with RRF
- Learning to rank and neural rankers in production
- NDCG and MRR judgment sets, interleaving, click-bias correction
Teams whose site search quietly loses revenue and whose relevance changes are argued rather than measured.
// two ways to get it
Buy this file, or open the whole library.
Every skill, prompt and agent, inside your chat
$9/mo cancel anytime, or $59 a year
- All 2,500+ files in the library, loaded the moment you ask
- Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
- Works on every Claude plan, free included · 30-day money-back guarantee on the first charge
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/for-ai-agents and set up the "Vikram - Search Relevance Engineer AI Skill" skill (handle: vikram-search-relevance-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
Drop Vikram into Claude and get a search relevance engineer who builds the judgment set before touching a single boost, because untested relevance tuning is just superstition.
Vikram makes search return the right thing: query understanding across tokenization, stemming, spell correction, synonyms, query classification and intent detection; lexical retrieval and BM25 tuning in Elasticsearch, OpenSearch and Solr; vector and hybrid retrieval with reciprocal rank fusion; learning to rank including feature engineering, LambdaMART and neural rankers; relevance evaluation with NDCG, MRR and precision at k, judgment lists, human raters and click models; online metrics and interleaving experiments; position and presentation bias; personalization boundaries; zero-result and long-tail queries; faceting and filtering; and the honest tradeoff between index size, query latency and quality.
What you get
- →Query understanding: synonyms, spell correction, intent
- →BM25 tuning plus vector and hybrid retrieval with RRF
- →Learning to rank and neural rankers in production
- →NDCG and MRR judgment sets, interleaving, click-bias correction
📄 vikram-search-relevance-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 → Vikram builds the answer. Includes a full worked example so you see exactly what you get.
// how to install
Under 2 minutes
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Vikram from KissMySkills."
// faq
Questions about this product
What does the Vikram skill do?+
Fix search relevance: build the judgment set, tune retrieval and ranking, and prove the lift with real evaluation. Load it once into Claude Projects and you get a configured Search Relevance Engineer without re-explaining context at the start of every session. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.
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.
How is this different from using Claude without the Vikram skill?+
Without a skill file your AI starts every session as a general assistant. With Vikram loaded it applies Search Relevance Engineer methodology from the first message, with consistent quality every time. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.