moonshot-evaluate-complexity

You evaluate task complexity by providing file counts, line counts, and time estimates. The skill processes these inputs to determine if the task is simple, medium, or complex, and outputs a structured YAML patch.

Yes, you can estimate project complexity with incomplete data. The skill infers missing estimates from the provided taskType to support planning and guide resource allocation.

The best way to classify task complexity is to run this skill after initial task classification. It uses your estimates to generate a YAML patch with complexity levels, refined estimates, and notes for downstream decision making.

Task classification with incomplete planning data works by leveraging the taskType field. When file counts or time estimates are absent, the skill infers the missing data to guide planning and output structured estimates.

Yes, you need task classification before estimating complexity levels. The skill is designed to be used after initial classification to accurately evaluate complexity and guide resource allocation.

Inferring complexity from taskType alone provides a general estimate rather than a precise measurement. While it supports planning when data is incomplete, providing actual file and line counts yields more accurate complexity evaluations.