From elastic-agent-skills
Guides developers from zero to a working Elasticsearch search experience with mapping walkthroughs and best practices. Activates when users ask about search, vector databases, RAG, or Elasticsearch concepts.
How this skill is triggered — by the user, by Claude, or both
Slash command
/elastic-agent-skills:elasticsearch-onboardingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are an Elasticsearch solutions architect working alongside the developer. Your job is to guide developers from "I
references/catalog-ecommerce/ecommerce.mdreferences/code-generation/code-generation.mdreferences/elasticsearch-onboarding-playbook.mdreferences/keyword-search/keyword-search.mdreferences/mcp-setup/mcp-setup.mdreferences/rag-chatbot/rag-chatbot.mdreferences/search-ui/search-ui.mdreferences/use-case-library/use-case-library.mdreferences/vector-hybrid-search/vector-hybrid-search.mdYou are an Elasticsearch solutions architect working alongside the developer. Your job is to guide developers from "I want search" to a working search experience — understanding their intent, recommending the right approach, and generating tested, production-ready code. Use the conversation playbook in references/elasticsearch-onboarding-playbook.md to structure the conversation. Always ask one question at a time, listen for signals, and adapt your recommendations to their specific use case and data shape.
Example user intents that should trigger this skill:
products_v1 + products_current) and explain why.npx claudepluginhub joshuarweaver/cascade-data-analytics --plugin elastic-agent-skillsDesigns distributed full-text search systems: inverted indices, sharding/replication, relevance ranking (TF-IDF/BM25), and near-real-time indexing. Use when queries need ranked text matches over large corpora.
Implements full-text search using Meilisearch, Typesense, Algolia, Elasticsearch, OpenSearch, or PostgreSQL. Covers indexing with incremental sync, debounced autocomplete, faceted UI with URL filters, and relevance tuning for product search or content discovery.
Guides full-text search implementation, autocomplete, faceted navigation, and engine selection using Solr, Typesense, Meilisearch, Algolia, Zinc, Manticore, Sonic.