I tested the new OpenSearch Agent Toolkit skill. Here's what it actually does.

AWS announced the amazon-opensearch-service skill for the Agent Toolkit for AWS on July 15, 2026. The marketing says it lets AI coding agents "build, manage, and query OpenSearch directly from natural language." I installed it and ran it through a real task: building a RAG search backend on Amazon OpenSearch Serverless NextGen from scratch.

Here's what the skill actually does, where it saved me time, and the one area where skipping it entirely would have been faster.

What the skill is (it's not what you think)

The skill is not a chatbot wrapper over AWS APIs. It's a structured knowledge package that loads into your coding agent's context when you ask an OpenSearch-related question. Think of it as a senior engineer's notebook: sizing formulas, engine selection logic, migration checklists, query DSL recipes. It covers both managed Amazon OpenSearch Service domains and OpenSearch Serverless collections (full source on GitHub).

It routes every request to one of five capabilities: