/cs-commercial-policy

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**

Three-tool workflow

1. **`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}`.

2. **`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).

3. **`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).

Hard rule

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

Distinct from

• 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