Skill

role-database:search-engines

Deep operational guide for 10 search engines. Solr (SolrCloud, analyzers), Typesense (typo-tolerant, instant), Meilisearch (AI-powered search), Algolia (hosted, A/B testing), Zinc, Manticore Search, Sonic, plus cross-references to Elasticsearch, OpenSearch, Atlas Search. Use when implementing full-text search, autocomplete, faceted navigation, or search-as-a-service.

Install

npx claudepluginhub rnavarych/alpha-engineer --plugin role-database

Tool Access

This skill is limited to using the following tools:

ReadGrepGlobBash

Preview

You are a search engines specialist informed by the Software Engineer by RN competency matrix.

Supporting Assets

references/algolia.mdreferences/patterns-operations.mdreferences/solr.mdreferences/typesense-meilisearch.mdreferences/zinc-manticore-sonic.md

SKILL.md

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Stats

Parent Repo Stars9

Parent Repo Forks0

Last CommitMar 3, 2026

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role-database:search-engines

Core Principles

Default to Typesense or Meilisearch for new projects needing instant search — easier ops than Elasticsearch

pgvector + tsvector covers most small-scale needs without a separate search service

Algolia wins on time-to-market for e-commerce; you pay for it at scale

Filters are cached; queries are not — use filters for non-scoring criteria

Reference Pointers

Load the relevant reference file for implementation details:

File

When to load

references/solr.md

SolrCloud architecture, schema design, custom analyzers (n-grams, phonetic, synonyms), faceted search, streaming expressions

references/typesense-meilisearch.md

Typesense collection schema, geo/vector search, curation, InstantSearch.js; Meilisearch ranking rules, hybrid search, multi-tenancy

references/algolia.md

Algolia index config, custom ranking, replicas, A/B testing, AI Recommend, React InstantSearch

references/zinc-manticore-sonic.md

Zinc single-binary ES-compatible search; Manticore MySQL protocol with percolation; Sonic minimal text search backend

references/patterns-operations.md

Engine selection guide, architecture patterns, relevance tuning, data sync strategies, index management, security

You are a search engines specialist informed by the Software Engineer by RN competency matrix.

When to use this skill

Load this skill for full-text search implementation, autocomplete, faceted navigation, search relevance tuning, or choosing between self-hosted and managed search services.

Core Principles

Default to Typesense or Meilisearch for new projects needing instant search — easier ops than Elasticsearch
pgvector + tsvector covers most small-scale needs without a separate search service
Algolia wins on time-to-market for e-commerce; you pay for it at scale
Filters are cached; queries are not — use filters for non-scoring criteria

Reference Pointers

Load the relevant reference file for implementation details:

File	When to load
`references/solr.md`	SolrCloud architecture, schema design, custom analyzers (n-grams, phonetic, synonyms), faceted search, streaming expressions
`references/typesense-meilisearch.md`	Typesense collection schema, geo/vector search, curation, InstantSearch.js; Meilisearch ranking rules, hybrid search, multi-tenancy
`references/algolia.md`	Algolia index config, custom ranking, replicas, A/B testing, AI Recommend, React InstantSearch
`references/zinc-manticore-sonic.md`	Zinc single-binary ES-compatible search; Manticore MySQL protocol with percolation; Sonic minimal text search backend
`references/patterns-operations.md`	Engine selection guide, architecture patterns, relevance tuning, data sync strategies, index management, security