What problem does it solve?
Commercial teams face recurring decisions about pricing models, discount approvals, partner economics, RFP responses, and bookings forecasts, but lack a structured way to route each question to the right analytical framework with consistent, canon-anchored reasoning.
Core Features & Use Cases
- Deterministic routing: A keyword signal table classifies inquiries into seven lanes (pricing-strategist, deal-desk, partnerships-architect, channel-economics, commercial-policy, rfp-responder, commercial-forecaster) and forks context to the matching sub-skill.
- Grill-with-docs workflow: Explores the workspace first, asks one forcing question per turn with a recommended answer, and walks multi-lane decisions depth-first before invoking any sub-skill.
- Digest output with canon citations: Returns a digest of top findings, next actions with named approvers, artifact paths, and one challenge anchored to SaaS pricing and deal-desk references.
- Use Case: A sales lead asks whether to approve a 40% discount on an Enterprise deal; the skill routes to deal-desk, produces a deal scorecard and discount approval routing JSON, and flags margin benchmarks for human review.
Quick Start
Ask the commercial skill to review this deal and recommend whether the proposed discount should be approved.