Amazon Location Service introduces LLM Context as a Kiro power and Claude Code plugin to improve AI performance
Today, Amazon Location launched curated AI Agent context as a Kiro power, Claude Code plugin, and agent skill in the open Agent Skills format, usable by any compatible agent. Developers can use this context with generative AI tools such as Kiro, Claude Code, and Cursor to improve code accuracy, accelerate feature implementation, and reduce iteration time when adding Amazon Location-enabled capabilities to their applications. Amazon Location Service is a mapping service that offers geospatial data and location functionality such as maps, places search and geocoding, route planning, device tracking, and geofencing.
Once loaded by AI development tools, the curated Amazon Location context accelerates development of common location-based solutions such as address entry forms for delivery applications, map display, nearest-store lookup, and route visualization. The context includes pre-validated implementation patterns and step-by-step instructions for these use cases, allowing developers to focus on application-specific logic rather than API integration details.
Amazon Location Service is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Malaysia), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Spain), Europe (Stockholm), South America (São Paulo), and AWS GovCloud (US-West).
To get started, download and install the context to your agent of choice from the amazon-location-agent-context repository on GitHub, or learn more about using AI and LLMs to accelerate development with Amazon Location Service.