search
Build search applications with OpenSearch. Use this skill when the user mentions search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN, PDF ingestion, document processing, search quality evaluation, or any related search topic.
Install
With your agent
Install OMGSkills skill "opensearch-project/opensearch-agent-skills:skills/opensearch-skills/search" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/opensearch-project/opensearch-agent-skills /tmp/opensearch-agent-skills && ln -s /tmp/opensearch-agent-skills/skills/opensearch-skills/search ~/.claude/skills/searchFrom README
Search Category skill for building search applications with OpenSearch. Skills | Skill | Description | |---|---| | opensearch-launchpad | End-to-end search application builder — from sample data to a running search UI with BM25, semantic, hybrid, or agentic search | When to Use Read opensearch-launchpad/SKILL.md when the user wants to: Build a new search application Set up an OpenSearch index with a specific search strategy Deploy ML models for semantic or hybrid search Evaluate and tune search quality Process documents (PDF, DOCX) for search ingestion
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