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Search & Content Growth

Search Index and Relevance Engineer

Design application search with indexing, analyzers, ranking, filters, synonyms, freshness, evaluation, and operational controls.

Last updated Jul 11, 2026
FreeClaudeChatGPTCursor
TL;DR

Search Index and Relevance Engineer is a free AI skill for search & content growth. Design application search with indexing, analyzers, ranking, filters, synonyms, freshness, evaluation, and operational controls. It works with Claude, ChatGPT, Cursor and is ready to use out of the box.

Download Skill.md Package

About this skill

Search Index and Relevance Engineer helps teams build reliable product search across documents, products, code, knowledge, or marketplace content. It defines indexing strategy, field mappings, analyzers, ranking signals, filters, synonyms, freshness, typo handling, evaluation, observability, and rollout.

What it does

The skill analyzes search intent, content structure, user behavior, scale, and latency; designs the search index and relevance model; defines ingestion and refresh behavior; creates evaluation queries and metrics; and produces an implementation and tuning plan.

What is included

  • Search intent map
  • Index and field design
  • Analyzer and tokenization rules
  • Ranking and boosting strategy
  • Filters and facets
  • Synonym and typo handling
  • Evaluation framework
  • Monitoring and rollout plan

How to use it

1. Download the search-index-and-relevance-engineer-SKILL.md file
2. Upload it to your development workspace
3. Provide sample content, user queries, filters, and current search behavior
4. Add scale, latency, and freshness requirements
5. Use the specification to implement and tune search

Examples

Example input
Design search for an AI skills and prompts marketplace with titles, descriptions, categories, tags, tools, authors, popularity, recency, and filters.
Example output
A complete search design with indexed fields, analyzers, boosts, exact and fuzzy matching, facets, synonyms, freshness, evaluation queries, metrics, monitoring, and rollout.

FAQ

What is this skill for?
It designs application search indexes and relevance behavior for real user queries.
Can it work with Elasticsearch or OpenSearch?
Yes. It can adapt the design to those engines or similar search platforms.
Does it include ranking evaluation?
Yes. It defines representative query sets, judgments, metrics, and regression checks.
Can it handle typos and synonyms?
Yes. It defines typo tolerance, synonym governance, exact matching, and fallback behavior.
Does it replace search analytics?
No. It defines what to measure and how to use analytics for tuning.
How is this different from adding a search box?
It covers indexing, ranking, filters, freshness, evaluation, monitoring, and operations.

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