Agent skill

Cro Advisor

Revenue leadership for B2B SaaS: forecasting, sales model design, pricing, and net revenue retention.

Install Cro Advisor

skills CLI

$ npx skills add borghei/Claude-Skills --skill cro-advisor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills cro-advisor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/c-level-advisor/cro-advisor .claude/skills/cro-advisor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "cro-advisor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/c-level-advisor/cro-advisor into .claude/skills/cro-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cro-advisor", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/borghei/Claude-Skills/tree/main/c-level-advisor/cro-advisor

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add borghei/Claude-Skills --skill cro-advisor -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills cro-advisor --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/c-level-advisor/cro-advisor .agents/skills/cro-advisor && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "cro-advisor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/c-level-advisor/cro-advisor into .agents/skills/cro-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cro-advisor", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add borghei/Claude-Skills --skill cro-advisor -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills cro-advisor --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/c-level-advisor/cro-advisor .cursor/skills/cro-advisor && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "cro-advisor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/c-level-advisor/cro-advisor into .cursor/skills/cro-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cro-advisor", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/borghei/Claude-Skills.git --path c-level-advisor/cro-advisor

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add borghei/Claude-Skills --skill cro-advisor -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills cro-advisor --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/c-level-advisor/cro-advisor .gemini/skills/cro-advisor && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "cro-advisor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/c-level-advisor/cro-advisor into .gemini/skills/cro-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cro-advisor", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install borghei/Claude-Skills cro-advisor

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add borghei/Claude-Skills --skill cro-advisor -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/c-level-advisor/cro-advisor .github/skills/cro-advisor && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "cro-advisor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/c-level-advisor/cro-advisor into .github/skills/cro-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cro-advisor", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add borghei/Claude-Skills --skill cro-advisor -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills cro-advisor --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/c-level-advisor/cro-advisor .opencode/skills/cro-advisor && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "cro-advisor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/c-level-advisor/cro-advisor into .opencode/skills/cro-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cro-advisor", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: cro-advisor
GitHub stars: 874
Token cost: ~4.9k tokens
SKILL.md length: 1,881 words
Files: 4 (incl. scripts)
Skills in repo: 364
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Revenue leadership for B2B SaaS: forecasting, sales model design, pricing, and net revenue retention.

Works in 3 steps: revenue_waterfall_analyzer.py → pipeline_coverage_calculator.py → sales_efficiency_scorer.py
Designing the revenue engine
SKILL.md covers Keywords, Revenue Health Diagnostic, Revenue Metrics and Sales Model Selection, plus 8 more sections
Runs Python scripts from its folder; calls python

What it does

Cro Advisor is an agent skill from borghei/Claude-Skills. Revenue leadership for B2B SaaS: forecasting, sales model design, pricing, and net revenue retention. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, or scaling sales teams.

Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/pipeline_coverage_calculator.py`, `scripts/revenue_waterfall_analyzer.py` and `scripts/sales_efficiency_scorer.py`).

It sits in Marketing & SEO, covering Conversion rate optimization, Forecasting and time series and Multi-tenancy. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

Designing the revenue engine
Evaluating pricing
Scaling sales teams

Example prompts

“/cro-advisor”

Requirements

Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

revenue_waterfall_analyzer.py
pipeline_coverage_calculator.py
sales_efficiency_scorer.py

What it can do on your machine

Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cro Advisor loads about 4.9k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 1,881 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~57
When it runs · the whole SKILL.md, loaded when a task matches: ~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 1,881 words, ~4,856 tokens.

Download SKILL.mdSave it as .claude/skills/cro-advisor/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: cro-advisor
description: Revenue leadership for B2B SaaS: forecasting, sales model design, pricing, and net revenue retention. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, or scaling sales teams.
license: MIT + Commons Clause
metadata.version: 2.0.0
metadata.author: borghei
metadata.category: c-level
metadata.domain: cro-leadership
metadata.updated: 2026-03-09
metadata.frameworks: sales-playbook, pricing-strategy, nrr-playbook, pipeline-management, capacity-model, revenue-forecasting
metadata.triggers: CRO, chief revenue officer, revenue strategy, ARR, MRR, sales model, pipeline, revenue forecasting, pricing strategy, net revenue retention, NRR, gross…

CRO Advisor

Revenue frameworks for building predictable, scalable revenue engines -- from first revenue to $100M ARR and beyond. Every recommendation is grounded in pipeline math, not hope.

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, win rate, pipeline coverage, deal velocity

Revenue Health Diagnostic

Before applying any framework, diagnose the current state.

Revenue Health Decision Tree

START: "How healthy is our revenue engine?"
  |
  v
[Check NRR]
  |
  +-- NRR < 90% --> CRISIS. Existing customers are shrinking.
  |                  Stop scaling sales. Fix retention first.
  |
  +-- NRR 90-100% --> WARNING. Churn eating expansion.
  |                    Diagnose: product gap, CS gap, or ICP problem?
  |
  +-- NRR 100-110% --> HEALTHY. Base is stable. Focus on new logo + expansion.
  |
  +-- NRR > 110% --> STRONG. Expansion engine is working.
                      Check: is it sustainable or driven by price increases?

Revenue Waterfall

Opening ARR
  + New Logo ARR       (new customers closed this period)
  + Expansion ARR      (upsell, cross-sell, seat adds)
  - Contraction ARR    (downgrades, reduced usage)
  - Churned ARR        (lost customers)
= Closing ARR

NRR = (Opening + Expansion - Contraction - Churn) / Opening x 100
GRR = (Opening - Contraction - Churn) / Opening x 100

Revenue Metrics

Board-Level Metrics (Monthly/Quarterly)

Metric	Formula	Target	Red Flag
ARR Growth YoY	(Current ARR / Prior Year ARR) - 1	2x+ early stage, 50%+ growth	Decelerating 2+ quarters
NRR	See waterfall above	> 110%	< 100%
GRR	See waterfall above	> 85%	< 80%
Pipeline Coverage	Open pipeline / Quota	> 3x	< 2x entering quarter
Magic Number	Net New ARR x 4 / Prior Q S&M Spend	> 0.75	< 0.5
CAC Payback	S&M Spend / New ARR x (1/GM%)	< 18 months	> 24 months
Quota Attainment	% of reps hitting quota	60-70%	< 50%
Win Rate	Closed-won / (Closed-won + Closed-lost)	> 25%	< 15%
Average Sales Cycle	Days from opportunity to close	Stable or decreasing	Increasing 2+ quarters

NRR Benchmarks

NRR Range	Signal	Strategic Implication
> 130%	World-class (Snowflake, Twilio)	Can grow even with zero new logos
110-130%	Excellent	Strong expansion motion, invest in new logo
100-110%	Healthy	Expansion offsets churn, monitor trends
90-100%	Concerning	Churn exceeds expansion, fix before scaling
< 90%	Critical	Leaky bucket, all new revenue evaporates

Sales Model Selection

Model Comparison Matrix

Model	ACV Range	Sales Cycle	Team	Best For
Self-serve / PLG	$0-$10K	Minutes-days	No sales team	High volume, simple product
SMB inside sales	$5K-$50K	2-6 weeks	SDR + AE	Mid-volume, moderate complexity
Mid-market	$25K-$150K	4-12 weeks	SDR + AE + SE	Complex product, multiple stakeholders
Enterprise	$100K-$1M+	3-12 months	AE + SE + CSM + exec sponsor	Large organizations, high touch
Channel/Partner	Varies	Varies	Partner manager + enablement	Market coverage, geographic reach

Model Selection Decision Tree

START: "Which sales model?"
  |
  v
[What's the average deal size?]
  |
  +-- < $5K ACV --> Self-serve / PLG
  |                  (add sales assist at $2-5K for upsell)
  |
  +-- $5K-$50K --> Inside sales (SMB)
  |                (SDRs + AEs, high velocity)
  |
  +-- $50K-$200K --> Mid-market
  |                  (SDR + AE + SE, consultative)
  |
  +-- > $200K --> Enterprise
                  (Named accounts, multi-threaded, executive selling)

HYBRID: Most companies evolve to serve 2-3 segments.
Route by ACV and buying complexity.

Pipeline Management

Pipeline Stage Definitions

Stage	Definition	Exit Criteria	Typical Conversion
0: Lead	Inbound inquiry or outbound target	Qualified as ICP fit	20-30% to Stage 1
1: Discovery	First meeting completed	Pain confirmed, authority identified	50-60% to Stage 2
2: Evaluation	Active evaluation, demo/POC	Champion identified, timeline set	40-50% to Stage 3
3: Proposal	Proposal/pricing delivered	Budget confirmed, decision criteria clear	50-60% to Stage 4
4: Negotiation	Terms being negotiated	Legal/procurement engaged	70-80% to Close
5: Closed-Won	Contract signed	Revenue recognized	--
X: Closed-Lost	Deal lost	Loss reason documented	--

Pipeline Coverage Model

Quarter Position	Required Pipeline Coverage	Action If Below
Q-1 (planning)	4x quota	Increase top-of-funnel activity
Q start	3x quota	Accelerate existing deals, add pipeline
Mid-quarter	2x quota	Deal acceleration, executive engagement
Q-end	1.5x quota	Forecast adjustment, pull-in deals

Deal Qualification: MEDDPICC

Element	Question	Red Flag
Metrics	What business outcome does the buyer measure?	No quantified value proposition
Economic Buyer	Who signs the check? Have we met them?	Never met the decision-maker
Decision Criteria	What criteria will they use to decide?	"We'll know it when we see it"
Decision Process	What are the steps to get to a yes?	No defined process or timeline
Paper Process	What legal/procurement steps are required?	Unknown procurement process
Identify Pain	What problem are they solving? Is it urgent?	Pain is theoretical, not acute
Champion	Who internally advocates for us?	No internal champion identified
Competition	Who else are they evaluating?	"They said no competition" (always wrong)

Pricing Strategy

Pricing Model Selection

Model	Best When	Watch Out For
Per-seat	Value scales with users	Seat consolidation games
Usage-based	Value directly tied to consumption	Revenue unpredictability
Tiered	Clear feature differentiation between segments	Tier boundaries feel arbitrary
Flat-rate	Simple product, uniform usage	Leaves money on table for heavy users
Value-based	Clear ROI measurement possible	Requires trust and proof
Hybrid	Complex product with multiple value dimensions	Complexity in quoting

Pricing Decision Framework

START: "How should we price?"
  |
  v
[What is the primary value driver for the customer?]
  |
  +-- Number of users --> Per-seat pricing
  |
  +-- Volume of usage --> Usage-based pricing
  |
  +-- Feature needs differ by segment --> Tiered pricing
  |
  +-- Clear ROI (saves $X) --> Value-based (price at 10-20% of value)
  |
  +-- Multiple value drivers --> Hybrid (base + usage/seats)

Pricing Health Indicators

Signal	Healthy	Unhealthy
Price objection rate	< 20% of proposals	> 40% = value communication broken
Discount rate (avg)	< 15% off list	> 25% = pricing not anchored to value
Time since last increase	< 12 months	> 24 months = inflation eating margin
Price increase churn	< 2% incremental churn	> 5% = increase was too aggressive
Win rate after increase	Stable or improved	Dropped > 10 points = over-corrected

Sales Team Scaling

Capacity Model

Required AEs = Target New ARR / (Quota x Attainment Rate x Ramp Factor)

Example:
  Target: $5M new ARR
  Quota per AE: $1M
  Attainment: 65%
  Ramp factor: 0.85 (accounts for ramp time)

  Required AEs = $5M / ($1M x 0.65 x 0.85) = 9.1 --> Hire 10 AEs

Sales Team Structure by ARR

ARR	Team Structure	Key Hires
$0-$1M	Founder-led sales	No sales team yet
$1-$3M	1-2 AEs	First AE, maybe first SDR
$3-$10M	3-6 AEs, 2-4 SDRs, 1 sales manager	First sales manager, first SE
$10-$25M	VP Sales, 2 teams, SDR team, SE team	VP Sales, Rev Ops, CS Manager
$25-$50M	CRO, multiple segments, CS org	CRO, segment leaders, enablement
$50M+	Full revenue org	SVPs, regional leaders, strategy

Quota Setting Guidelines

Metric	Guideline
Quota : OTE ratio	4-6x (e.g., $800K quota for $160K OTE)
Ramp period	3-6 months depending on sales cycle
Ramp quota	25% (M1-2), 50% (M3-4), 75% (M5-6), 100% (M7+)
Quota coverage target	Hire for 120-130% of plan (accounts for attrition + ramp)
% of team hitting quota	Target 60-70%. < 50% = quota too high. > 80% = too low.

Red Flags

NRR declining 2 quarters in a row -- customer value proposition is broken
Pipeline coverage < 3x entering quarter -- forecasting a miss
Win rate dropping while sales cycle extends -- competitive pressure or ICP drift
< 50% of AEs quota-attaining -- comp plan, ramp, or quota calibration issue
Average deal size declining -- moving downmarket under pressure
Magic Number < 0.5 -- sales spend not converting to revenue
Forecast accuracy < 80% -- pipeline quality or rep sandbagging
Single customer > 15% of ARR -- concentration risk
"Too expensive" in > 40% of loss notes -- value demonstration broken, not price
Expansion ARR < 20% of total new ARR -- upsell motion missing
No win/loss analysis process -- learning nothing from every deal outcome
Sales and CS not aligned on health scoring -- churn surprises

Integration with C-Suite

When...	CRO Works With...	To...
Pricing changes	CPO + CFO	Align value positioning, model margin impact
Product roadmap	CPO (`cpo-advisor`)	Ensure features support ICP and close pipeline
Headcount plan	CFO + CHRO	Capacity model with ROI justification
NRR declining	CPO + COO	Root cause: product gap or CS process failure
Enterprise expansion	CEO (`ceo-advisor`)	Executive sponsorship for key accounts
Revenue targets	CFO (`cfo-advisor`)	Bottom-up model to validate top-down targets
Pipeline SLA	CMO (`cmo-advisor`)	MQL-to-SQL conversion, CAC by channel
Security reviews	CISO (`ciso-advisor`)	Unblock enterprise deals with security artifacts
Sales ops	COO (`coo-advisor`)	RevOps staffing, commission infrastructure
Sales hiring	CHRO (`chro-advisor`)	Comp plans, ramp modeling, territory design
Competitive wins/losses	Competitive Intel (`competitive-intel`)	Battlecard updates, positioning

Proactive Triggers

NRR < 100% -- retention must be fixed before scaling acquisition
Pipeline coverage < 3x -- forecast at risk, flag to CEO immediately
Win rate declining 2+ quarters -- sales process or product alignment issue
Top customer > 20% of ARR -- concentration risk, diversify immediately
No pricing review in 12+ months -- likely leaving revenue on the table
Expansion revenue < 15% of new ARR -- missing upsell/cross-sell opportunity
Sales cycle lengthening -- competitive or product issue, investigate
30% discount rate on deals -- pricing or value communication problem

Show full SKILL.md (721 more words)Show less

Output Artifacts

Request	Deliverable
"Forecast next quarter"	Pipeline-based forecast with confidence intervals and scenarios
"Analyze our churn"	Cohort analysis with at-risk accounts and intervention plan
"Review our pricing"	Pricing analysis with benchmarks, value framework, recommendations
"Scale the sales team"	Capacity model with quota, ramp, territories, comp plan
"Revenue board section"	ARR waterfall, NRR, pipeline coverage, forecast, risks
"Design sales process"	Stage definitions, qualification criteria, deal review cadence
"Win/loss analysis"	Aggregate findings by competitor, segment, and reason

Tool Reference

1. revenue_waterfall_analyzer.py

Analyzes ARR waterfall (new logo, expansion, contraction, churn) to calculate NRR, GRR, and net new ARR. Detects trends, flags retention risks, and benchmarks against SaaS industry standards.

bash

python scripts/revenue_waterfall_analyzer.py --input revenue_data.json --json
python scripts/revenue_waterfall_analyzer.py --input revenue_data.json

Flag	Type	Description
`--input`	required	Path to JSON file with period-level ARR components (opening, new, expansion, contraction, churn)
`--json`	optional	Output in JSON format instead of human-readable text

2. pipeline_coverage_calculator.py

Calculates pipeline coverage ratios by quarter position, analyzes stage distribution health, detects deal aging risks, and generates pipeline adequacy assessments with action recommendations.

bash

python scripts/pipeline_coverage_calculator.py --input pipeline_data.json --json
python scripts/pipeline_coverage_calculator.py --input pipeline_data.json

Flag	Type	Description
`--input`	required	Path to JSON file with deals (stage, value, age, close date), quota, and quarter dates
`--json`	optional	Output in JSON format instead of human-readable text

3. sales_efficiency_scorer.py

Scores sales efficiency using Magic Number, CAC Payback, quota attainment distribution, win rate, and sales cycle metrics. Benchmarks against SaaS standards and generates improvement recommendations.

bash

python scripts/sales_efficiency_scorer.py --input sales_data.json --json
python scripts/sales_efficiency_scorer.py --input sales_data.json

Flag	Type	Description
`--input`	required	Path to JSON file with revenue, S&M spend, rep-level quota attainment, win/loss counts, and cycle times
`--json`	optional	Output in JSON format instead of human-readable text

Troubleshooting

Problem	Likely Cause	Resolution
NRR declining 2+ quarters	Product-market fit erosion, CS gap, or ICP drift	Segment NRR by cohort and plan tier; diagnose whether churn is product, service, or fit-driven
Pipeline coverage below 3x entering quarter	Insufficient top-of-funnel or poor lead-to-opp conversion	Audit lead sources by conversion rate; increase SDR activity; align with CMO on MQL volume
Win rate dropping while sales cycle extends	Competitive pressure, product gap, or wrong ICP	Analyze win/loss by competitor and segment; review qualification criteria; check ICP alignment
Less than 50% of AEs quota-attaining	Quota calibration, ramp, or enablement issue	Benchmark quota:OTE ratio (4-6x); review ramp schedule; assess territory balance
Magic Number below 0.5	S&M spend not converting to revenue efficiently	Review channel ROI; reduce spend on low-performing channels; improve rep productivity before adding headcount
Forecast accuracy below 80%	Pipeline quality issues, sandbagging, or weak inspection	Standardize stage exit criteria; implement MEDDPICC qualification; conduct weekly deal reviews
Expansion ARR less than 20% of total new ARR	Missing upsell/cross-sell motion or no expansion playbook	Design expansion triggers with CS; implement usage-based upsell alerts; create cross-sell bundles

Success Criteria

NRR exceeds 110% sustained across 4 consecutive quarters
Pipeline coverage maintains 3-4x quota with healthy stage distribution at quarter start
Win rate stable or improving against top 3 competitors
60-70% of ramped AEs achieving quota attainment
Magic Number exceeds 0.75 indicating efficient S&M spend
CAC Payback under 18 months with LTV:CAC ratio above 3:1
Forecast accuracy exceeds 85% within two quarters of implementation

Scope & Limitations

In scope: Revenue health diagnostics (NRR, GRR, ARR waterfall), sales model selection and optimization, pipeline management (stage definitions, coverage modeling, MEDDPICC qualification), pricing strategy frameworks, sales team scaling (capacity model, quota setting, territory design), revenue forecasting, and board-level revenue reporting.

Out of scope: CRM system administration or data extraction (tools consume JSON exports), individual deal coaching (tools flag patterns, not prescribe tactics), marketing attribution modeling (use cmo-advisor), customer success health scoring (use customer-success-manager), and compensation plan legal compliance. Tools analyze point-in-time revenue snapshots; continuous monitoring requires CRM/BI integration.

Limitations: Revenue benchmarks based on aggregate B2B SaaS data; targets vary by stage, ACV, and sales motion (PLG vs enterprise vs channel). Pipeline analysis assumes accurate CRM data including stage, value, age, and close date. Sales efficiency metrics require accurate financial data that early-stage companies may not track. Quota recommendations are directional; final calibration requires territory-level analysis.

Integration Points

cfo-advisor -- Revenue forecasts and capacity models feed financial planning; pricing impacts margin modeling
cpo-advisor -- Product roadmap must support ICP needs and close pipeline gaps; feature requests filtered through CPO
cmo-advisor -- Pipeline SLA and MQL-to-SQL conversion jointly owned; CAC optimization requires marketing alignment
coo-advisor -- RevOps staffing and commission infrastructure depend on operational capacity planning
competitive-intel -- Win/loss data and competitive win rates inform battlecard updates and positioning
sales-success/ -- Sales efficiency metrics cascade to account executive and sales ops execution

Files

SKILL.md and 3 other files (scripts) in c-level-advisor/cro-advisor of borghei/Claude-Skills.

SKILL.md
scripts/pipeline_coverage_calculator.py
scripts/revenue_waterfall_analyzer.py
scripts/sales_efficiency_scorer.py

Open the folder on GitHubat commit c9a1487

Compare with similar skills

Cro Advisor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cro Advisor compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Cro Advisor this skillborghei/Claude-Skills	874	—	~4.9k	Automated safety check: Pass	MIT	yesterday
Cro Advisoralirezarezvani/claude-skills	28k	1 repos	~2.2k	Automated safety check: Pass	MIT	1 mo ago
Paywall Upgrade CroLeoYeAI/openclaw-marketing-skills	1k	1 repos	~1.4k	Automated safety check: Pass	Custom licence	4 mo ago
Offer Designminhnv0807/ai-business-skills	608	—	~1.1k	Automated safety check: Pass	MIT	25 days ago
Conversion Rate Optimizationmanojbajaj95/claude-gtm-plugin	104	—	~1.2k	Automated safety check: Pass	MIT	19 days ago
Ab Testingericrisco/rsc-harness	156	—	~2.4k	Automated safety check: Pass	MIT	yesterday

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Questions about Cro Advisor

What does Cro Advisor do?

Revenue leadership for B2B SaaS: forecasting, sales model design, pricing, and net revenue retention. Cro Advisor is an agent skill from borghei/Claude-Skills. Revenue leadership for B2B SaaS: forecasting, sales model design, pricing, and net revenue retention.

When should I use Cro Advisor?

Cro Advisor fits situations like: designing the revenue engine; evaluating pricing; scaling sales teams.

How do I install Cro Advisor in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill cro-advisor -a claude-code`. Or copy the skill folder (c-level-advisor/cro-advisor in borghei/Claude-Skills) into .claude/skills/cro-advisor in your project. Claude Code loads it when a task matches its description.

How do I install Cro Advisor in Codex?

Run `npx skills add borghei/Claude-Skills --skill cro-advisor -a codex`. Or copy the skill folder (c-level-advisor/cro-advisor in borghei/Claude-Skills) into .agents/skills/cro-advisor in your project. Codex loads it when a task matches its description.

Can I use Cro Advisor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill cro-advisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cro-advisor, .gemini/skills/cro-advisor, .github/skills/cro-advisor and .opencode/skills/cro-advisor in your project.

What does Cro Advisor need to run?

Going by SKILL.md and its folder, Cro Advisor needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Cro Advisor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cro Advisor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Cro Advisor use?

Cro Advisor is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cro Advisor use?

About 4.9k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cro Advisor?

Skills that share tags, products or a category with Cro Advisor: Cro Advisor (alirezarezvani/claude-skills, 28k stars), Paywall Upgrade Cro (LeoYeAI/openclaw-marketing-skills, 1k stars), Offer Design (minhnv0807/ai-business-skills, 608 stars) and Conversion Rate Optimization (manojbajaj95/claude-gtm-plugin, 104 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cro Advisor?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Cro Advisor

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

CRO Advisor

Keywords

Revenue Health Diagnostic

Revenue Health Decision Tree

Revenue Waterfall

Revenue Metrics

Board-Level Metrics (Monthly/Quarterly)

NRR Benchmarks

Sales Model Selection

Model Comparison Matrix

Model Selection Decision Tree

Pipeline Management

Pipeline Stage Definitions

Pipeline Coverage Model

Deal Qualification: MEDDPICC

Pricing Strategy

Pricing Model Selection

Pricing Decision Framework

Pricing Health Indicators

Sales Team Scaling

Capacity Model

Sales Team Structure by ARR

Quota Setting Guidelines

Red Flags

Integration with C-Suite

Proactive Triggers

Output Artifacts

Tool Reference

1. revenue_waterfall_analyzer.py

2. pipeline_coverage_calculator.py

3. sales_efficiency_scorer.py

Troubleshooting

Success Criteria

Scope & Limitations

Integration Points

Files

Compare with similar skills

Similar skills

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Related

Questions about Cro Advisor