Cro Advisor
Model B2B SaaS revenue, pricing, NRR, churn, and sales capacity when designing or scaling the revenue engine.
Overview
CRO Advisor is an agent skill most often used in Validate (also Grow analytics, Validate scope) that applies B2B SaaS revenue leadership frameworks for forecasting, pricing, NRR, and sales scaling.
Install
npx skills add https://github.com/alirezarezvani/claude-skills --skill cro-advisorWhat is this skill?
- Revenue forecasting with weighted pipeline and historical inputs via revenue_forecast_model.py
- Churn analysis tooling (churn_analyzer.py) for retention and NRR-oriented decisions
- Frameworks: sales playbook, pricing strategy, and NRR playbook
- Covers MEDDPICC, PLG vs sales-led motion, territory design, quotas, and board-ready ARR narratives
- Scoped for CRO-level decisions from roughly $1M ARR toward $100M+ scale
- Bundled Python tools: revenue_forecast_model.py and churn_analyzer.py
- Frameworks referenced: sales-playbook, pricing-strategy, nrr-playbook
Adoption & trust: 527 installs on skills.sh; 17.5k GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
You are building or scaling a B2B SaaS product but lack a structured way to forecast ARR, design pricing, or model retention and sales capacity.
Who is it for?
Indie SaaS founders and small teams between early ARR and scale who need CRO-grade pricing, pipeline, and NRR thinking without a full revenue org.
Skip if: Pure consumer apps, non-recurring one-off products, or teams that only need tactical ad copy with no revenue model.
When should I use this skill?
Designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when the user mentions CRO, ARR growth, churn, or sales capacity.
What do I get? / Deliverables
You leave with actionable revenue, pricing, and retention frameworks—and can run bundled Python models for forecasts and churn—so GTM choices align with board-level metrics.
- Revenue forecast and pipeline-weighting outputs from scripts
- Pricing, NRR, and sales playbook recommendations aligned to stage
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Canonical shelf is Validate + pricing because the skill is invoked for pricing strategy, revenue model design, and early revenue planning before full build-and-scale execution. pricing fits value-based and usage-based pricing evaluation, packaging, and revenue assumptions tied to ICP and go-to-market choices.
Where it fits
Compare value-based vs usage-based pricing before locking tiers on your landing page.
Define ICP and sales-led vs PLG motion so build scope matches realistic sales cycles.
Analyze churn drivers and expansion paths to improve NRR for board or investor updates.
How it compares
Use instead of generic startup advice—this is revenue-leadership procedural knowledge with forecast and churn scripts, not a landing-page copy skill.
Common Questions / FAQ
Who is cro-advisor for?
Solo and indie B2B SaaS builders (and small GTM teams) who need CRO-level guidance on ARR, pricing, retention, quotas, and sales motion design.
When should I use cro-advisor?
Use it in Validate for pricing and revenue model design, in Validate scope when defining ICP and sales-led vs PLG, and in Grow when optimizing NRR, churn, and expansion revenue.
Is cro-advisor safe to install?
Check the Security Audits panel on this Prism page and review MIT-licensed scripts locally before running revenue_forecast_model.py or churn_analyzer.py on sensitive financial data.
SKILL.md
READMESKILL.md - Cro Advisor
# CRO Advisor Revenue frameworks for building predictable, scalable revenue engines — from $1M ARR to $100M and beyond. ## Keywords CRO, chief revenue officer, revenue strategy, ARR, MRR, sales model, pipeline, revenue forecasting, pricing strategy, net revenue retention, NRR, gross revenue retention, GRR, expansion revenue, upsell, cross-sell, churn, customer success, sales capacity, quota, ramp, territory design, MEDDPICC, PLG, product-led growth, sales-led growth, enterprise sales, SMB, self-serve, value-based pricing, usage-based pricing, ICP, ideal customer profile, revenue board reporting, sales cycle, CAC payback, magic number ## Quick Start ### Revenue Forecasting ```bash python scripts/revenue_forecast_model.py ``` Weighted pipeline model with historical win rate adjustment and conservative/base/upside scenarios. ### Churn & Retention Analysis ```bash python scripts/churn_analyzer.py ``` NRR, GRR, cohort retention curves, at-risk account identification, expansion opportunity segmentation. ## Diagnostic Questions Ask these before any framework: **Revenue Health** - What's your NRR? If below 100%, everything else is a leaky bucket. - What percentage of ARR comes from expansion vs. new logo? - What's your GRR (retention floor without expansion)? **Pipeline & Forecasting** - What's your pipeline coverage ratio (pipeline ÷ quota)? Under 3x is a problem. - Walk me through your top 10 deals by ARR — who closed them, how long, what drove them? - What's your stage-by-stage conversion rate? Where do deals die? **Sales Team** - What % of your sales team hit quota last quarter? - What's average ramp time before a new AE is quota-attaining? - What's the sales cycle variance by segment? High variance = unpredictable forecasts. **Pricing** - How do customers articulate the value they get? What outcome do you deliver? - When did you last raise prices? What happened to win rate? - If fewer than 20% of prospects push back on price, you're underpriced. ## Core Responsibilities (Overview) | Area | What the CRO Owns | Reference | |------|------------------|-----------| | **Revenue Forecasting** | Bottoms-up pipeline model, scenario planning, board forecast | `revenue_forecast_model.py` | | **Sales Model** | PLG vs. sales-led vs. hybrid, team structure, stage definitions | `references/sales_playbook.md` | | **Pricing Strategy** | Value-based pricing, packaging, competitive positioning, price increases | `references/pricing_strategy.md` | | **NRR & Retention** | Expansion revenue, churn prevention, health scoring, cohort analysis | `references/nrr_playbook.md` | | **Sales Team Scaling** | Quota setting, ramp planning, capacity modeling, territory design | `references/sales_playbook.md` | | **ICP & Segmentation** | Ideal customer profiling from won deals, segment routing | `references/nrr_playbook.md` | | **Board Reporting** | ARR waterfall, NRR trend, pipeline coverage, forecast vs. actual | `revenue_forecast_model.py` | ## Revenue Metrics ### Board-Level (monthly/quarterly) | Metric | Target | Red Flag | |--------|--------|----------| | ARR Growth YoY | 2x+ at early stage | Decelerating 2+ quarters | | NRR | > 110% | < 100% | | GRR (gross retention) | > 85% annual | < 80% | | Pipeline Coverage | 3x+ quota | < 2x e