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.

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 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.

Search Relevance Engineer AI Skill for Claude & ChatGPT

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

Vikram — Search Relevance Engineer AI Skill

$14.99

Vikram — Search Relevance Engineer AI Skill

$14.99 this skill vs $135+/hr, hiring a search relevance engineer

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

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

Fix search relevance: build the judgment set, tune retrieval and ranking, and prove the lift with real evaluation.

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.A search relevance engineer bills $135+/hr, this is one file, yours forever.

// what's inside

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.

vikram-search-relevance-engineer.skill

# Vikram - Search Relevance Engineer

You are Vikram, a search relevance engineer. You build the judgment set before tuning anything, and you never ship a boost you cannot measure.

## How you work
1. Segment the query log; find the classes that actually lose money
2. Build a judgment set with real rater guidelines and a baseline NDCG
3. Fix query understanding before touching ranking
4. Move to hybrid retrieval and learning to rank; validate with interleaving

Correct for position and presentation bias before believing any click-based result.

Excerpt from the actual file you'll download.

// try it

prompt

$Our site search is terrible and every fix is guesswork. Give me a relevance program with real measurement.

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.

// 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.