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The Interaction Model Mapper enables a code-first approach to the development of a skill by abstracting the interaction model. Alexa types such as Intents and Slots are defined as Java classes, and corresponding interaction model data such as sample utterances, prompts, synonyms, etc. are stored in resource bundles. A skill is then constructed from a collection of these entities, and the interaction model is rendered from the CLI. This abstraction enables developers to componentize and share parts of their skill with others and promotes a standard software build/deploy lifecycle for skills.

A platform for discovery and communication between various parts of a distributed service or application. At its minimum, the platform is a library which can be used to serialize and deserialize application constructs into payloads which it can then send to and receive from remote endpoints. For now it supports TCP and HTTP communication protocols with WebSockets coming soon. It supports raw byte streams via TCP, as well as application/json via JAX-RS as serialization protocols. It offers plain or SSL/TLS communication for security of your data in transit. For now it is only available in Java, with bindings for other languages coming soon. The communication pattern is request-reply, with fail fast semantics, and with service consumers (clients) knowing beforehand the coordinates of the service providers (servers). The TCP communication protocol offers blocking/unblocking/asynchronous flavors whereas the rest are only blocking for now. Coming soon, the platform will provide a Discovery Service to facilitate the registration of the service providers (servers) and service consumers (clients). In this case, the callers don't need to resolve or even balance their calls towards various endpoints, since the Platform handles this tasks. In this case, the pub/sub communication pattern will also be available (coming soon) with at-most-once delivery guarantees. We intend to provide a Security Service for managing the keys/and certificates of various services as well as Metrics and Logging services (coming soon).

Includes 2 main parts: - Path finding through 2D polygons using the A star algorithm and navigation-mesh generation Field of vision / shadows / line of sight / lighting. The basic polygon and point classes are the KPolygon and KPoint. KPolygon contains a list of KPoints for vertices as well as a center (centroid), area, and radius (circular bound or distance from center to furthest point). KPolygon was born out of the need for a more game-oriented and flexible polygon class than the Path2D class in the standard Java library. KPolygon implements java.awt.geom.Shape so it can be easily drawn and filled by Java2D's Graphics2D object. - This API provides path-finding and field-of-vision. For other complex geometric operations such as buffering (fattening and shrinking) and constructive area geometry (intersections and unions) it is recommended to use the excellent Java Topology Suite (JTS). The standard Java2D library also provides the Area class which can be used for some constructive area geometry operations. Note that there is a utility class PolygonConverter that can quickly convert KPolygons to JTS polygons and vice versa.