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maestro-decisioning-demo
maestro-decisioning-demo 收录了来自 datasciencemonkey 的 4 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。
这个仓库中的 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.