What problem does it solve? Sales teams struggle to turn raw CRM pipeline data into a defensible revenue forecast. This Skill structures pipeline data into weighted projections with evidence-based deal categorization, risk flagging, and gap-to-quota analysis so forecast calls are grounded in data rather than optimism. ## Core Features & Use Cases - Deal Categorization: Assigns every opportunity to Closed Won, Commit, Best Case, Pipeline, or Omit using an evidence-based decision tree. - Weighted Projections: Applies stage-based probabilities derived from historical win rates or evidence-backed confidence estimates, never prescribing arbitrary conversion rates. - Risk Flagging & Gap Analysis: Detects risks like slipped close dates, single-threaded deals, and stale engagement, then computes commit gaps, coverage ratios, and pipeline generation needs. - Use Case: Before a quarterly forecast call, connect your CRM via MCP or upload a pipeline CSV, and receive a formatted forecast summary with category totals, a risk report, and the most movable deals to close the quota gap. ## Quick Start Create a forecast for this quarter using my uploaded pipeline export and quota target.