Training conversational computing interfaces with traced programs

A method of training a conversational computing interface, comprising:

• obtaining data-flow traces indicating computational steps occurring based on execution of a skill that is nonnative to the conversational computing interface, wherein obtaining the data-flow traces comprises tracing execution of the nonnative skill in response to an exemplary event;
• automatically training the conversational computing interface based at least on the data-flow traces to generate a trained conversational computing interface;
• and
• using the trained conversational computing interface, automatically computer-generating a computer-executable plan in a programming language that is native to the trained conversational computing interface.

A computer system, comprising:

• a logic subsystem;
• and
• a storage subsystem holding instructions executable by one or more processors of the logic subsystem to:
• obtain data-flow traces indicating computational steps occurring based on execution of a nonnative skill implemented in a nonnative programming language of a conversational computing interface, wherein obtaining the data-flow traces comprises tracing execution of the nonnative skill in response to an exemplary event;
• automatically generate a native computer-executable plan representing the data-flow traces in a native programming language of the conversational computing interface;
• and
• automatically train the conversational computing interface based on the native computer-executable plan and a conversational event associated with the native computer-executable plan.