AWS Quick: A Detailed Look at Agent and Skills Mechanisms
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Quick, launched by AWS, is an AI service that uses natural language to accomplish automation tasks, data analysis, web app building, and research. On November 10, 2026, the AWS Machine Learning Blog published an article explaining how Agents, skills, and data collaborate within Quick. The article introduces that Quick comes with a default Agent called Quick, while also supporting user-created custom Agents that can be shared. These Agents access data and tools through spaces, knowledge bases, datasets, dashboards, and connectors; connectors include both cloud connectors and support for connecting tools via local MCP servers. Based on this mechanism, users can leverage Agents to invoke the appropriate skills and data to complete a variety of natural-language-driven tasks.
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- AWS Machine Learning BlogHow skills and agents work in AWS Quick
AWS Quick is an AI service for completing automation tasks, data analysis, web app building, and research with natural language. The article explains how agents, skills, and data work together in Quick: the default agent Quick and shareable custom agents access data and tools through spaces, knowledge bases, datasets, dashboards, and connectors (including cloud connectors and local MCP servers).
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