sales-forecast-builder

Quick Review

The skill addresses a valuable sales analytics need (weighted pipeline forecasting, accuracy tracking, deal slippage) that would benefit from structured automation. However, SKILL.md is largely a generic template without substantive implementation. It lacks: (1) specific methodology for weighted probability calculations, (2) concrete data input requirements (CRM fields, historical data format), (3) actual formulas or logic for commit vs best-case scenarios, (4) deal slippage pattern identification algorithms, and (5) historical accuracy tracking mechanics. The structure is clean but hollow—placeholder text like '[Sample user request here]' and generic best practices don't provide actionable guidance for a CLI agent to execute forecast building. To reach higher scores, the skill needs concrete calculation methods, example data structures, scenario definitions, and specific steps for each forecasting component.