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maestro-decisioning-demo
maestro-decisioning-demo에는 datasciencemonkey에서 수집한 skills 4개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Best practices for cross-campaign CDP disposition reasoning. Use when evaluating customer engagement decisions involving frequency caps, campaign prioritization, channel selection, and send-time optimization.
Train and deploy propensity models using Databricks AutoML. Use when the agent needs campaign-specific propensity scores and no Model Serving endpoint exists yet, or when retraining is needed for a new campaign type.
DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.
A simple greeting skill that says hello to a user by name. Use when the user asks for a greeting or hello message.