description: Discount matrix designer + T&C library + exception policy. New ground — designs the policy that deal-desk applies per deal. Direct invocation of the commercial-policy skill. argument-hint: "<inputs: deal-band data, current discount distribution, target NRR>"

/cs:commercial-policy — Discount matrix + exception flow

Run the commercial-policy skill on this input:

$ARGUMENTS

discount_matrix_builder.py — Data-backed discount bands (by ARR band × term length × payment terms × strategic value). Outputs the matrix + the approver tier per cell. Industry tuning --profile {saas,enterprise-software,api,marketplace,services}.
exception_router.py — Exception flow: when a deal asks for terms outside the matrix, who approves and what compensating commitments are required (multi-year + prepay + named expansion path).
policy_linter.py — Consistency check across the matrix: no contradictions (e.g., "Manager approves up to 25%" but "VP approves up to 20%"), no gaps (deal band with no defined approver), no obvious gaming surface (cliff at 99 ARR vs 100 ARR).

No discount band without data backing. Pull win-rate and NRR by current band before recommending changes.

Sibling commercial/skills/deal-desk — applies the policy to individual deals. Commercial-policy designs the policy.
Sibling commercial/skills/pricing-strategist — sets the pricing model + tier list price. Commercial-policy governs discounts off list.
c-level-advisor/cro-advisor — strategic
c-level-advisor/cfo-advisor — financial guardrails (margin floor); commercial-policy operationalizes those

Run the commercial-policy skill on this input:

$ARGUMENTS

discount_matrix_builder.py — Data-backed discount bands (by ARR band × term length × payment terms × strategic value). Outputs the matrix + the approver tier per cell. Industry tuning --profile {saas,enterprise-software,api,marketplace,services}.
exception_router.py — Exception flow: when a deal asks for terms outside the matrix, who approves and what compensating commitments are required (multi-year + prepay + named expansion path).
policy_linter.py — Consistency check across the matrix: no contradictions (e.g., "Manager approves up to 25%" but "VP approves up to 20%"), no gaps (deal band with no defined approver), no obvious gaming surface (cliff at 99 ARR vs 100 ARR).

No discount band without data backing. Pull win-rate and NRR by current band before recommending changes.

Sibling commercial/skills/deal-desk — applies the policy to individual deals. Commercial-policy designs the policy.
Sibling commercial/skills/pricing-strategist — sets the pricing model + tier list price. Commercial-policy governs discounts off list.
c-level-advisor/cro-advisor — strategic
c-level-advisor/cfo-advisor — financial guardrails (margin floor); commercial-policy operationalizes those