/cs-commercial-forecast

disable-model-invocation: true
description: Forward bookings / billings / ARR forecast with funnel + cohort math + conversion-assumption disclosure. NOT financial close (finance). Direct invocation of the commercial-forecaster skill.
argument-hint: "<pipeline export path or cohort + funnel data>"

/cs-commercial-forecast — Forward bookings + cohort ARR + funnel confidence

Run the `commercial-forecaster` skill on this input:

**$ARGUMENTS**

Three-tool workflow

1. **`bookings_forecaster.py`** — Stage-conversion based bookings forecast using last-4-quarters weighted (most recent heavier). Outputs commit / best-case / pipe-only. Industry tuning `--profile {saas,api,enterprise-software,marketplace,services}`.

2. **`cohort_arr_projector.py`** — NRR + GRR projection by acquisition cohort. Surfaces leaky cohorts before they show up in the consolidated NRR number.

3. **`funnel_confidence_scorer.py`** — Confidence band per stage: how stable is the conversion rate q-over-q? High variance = low confidence forecast.

Hard rule

**Conversion assumption ALWAYS surfaced explicitly.** Forecasts without disclosed assumptions are theatre. The output names the conversion rate used and the data window it's based on.

Distinct from

• `finance/financial-analysis` — **close + report** (backward-looking). Commercial-forecaster is **forward** commercial pipeline.
• `c-level-advisor/cfo-advisor` — strategic financial planning. Commercial-forecaster is tactical, per-quarter.
• `c-level-advisor/cro-advisor` — strategic CRO. Commercial-forecaster feeds CRO judgment.
• Sibling `pricing-strategist` — sets prices; commercial-forecaster projects revenue at those prices.