Deploying and monitoring the skill

  • Release version: Zurich
  • Updated July 31, 2025
  • 1 minute to read
  • After you evaluate the prompt, you can deploy the custom skill and monitor its effectiveness.

    AI Skill Kit deployment and monitoring overview

    You should build and evaluate the skill in a subproduction instance. After you’re satisfied with the final performance evaluation on a batch of test data in subproduction, you can begin to move a skill toward deployment.

    1. Identify the touch points where the skills can be surfaced to be available for the end user. Configure the deployment settings accordingly.
    2. Perform end-to-end user testing in subproduction for a while and with different users and inputs.
    3. After the results are acceptable, deploy the skill to the production instance.
    4. Monitor the skill.