time-series-decomposer

Quick Review

The skill has clear structure and addresses a potentially useful task (time series decomposition), but critically lacks specific implementation details. The description is too generic—it merely states it 'provides guidance' without explaining what decomposition methods (additive, multiplicative, STL, etc.) are supported or what outputs are generated. Task knowledge is minimal with no concrete steps, algorithms, or code for performing decomposition. The skill would benefit significantly from detailing: (1) specific decomposition techniques offered, (2) input data requirements (format, frequency), (3) component extraction methods (trend, seasonality, residuals), and (4) visualization or validation approaches. Novelty score reflects that time series decomposition is moderately complex and could save tokens, but without implementation substance, the current skill offers little practical value over a direct CLI query.