territory-optimization

Quick Review

The skill provides a solid framework for territory optimization with clear use cases and a logical 5-step process. The description adequately conveys the scoring purpose (fairness, whitespace, productivity), and the framework covers essential steps from input normalization to recommendation generation. However, the skill lacks concrete implementation details such as specific scoring formulas, example calculations for Gini coefficients or whitespace percentages, or sample code/scripts. The novelty is moderate—while territory optimization is a specialized RevOps task that benefits from structured guidance, the skill remains largely procedural without advanced algorithms or automation that would be difficult for a capable CLI agent to replicate. The structure is clear and concise, appropriately using templates and tips. To improve, the skill would benefit from quantitative examples, calculation methods, or referenced scripts that demonstrate how to compute fairness metrics and generate scenario scores.