Scale Validator
by NeverSight
Use this skill when users need to validate if their business can scale, stress-test their model, or assess bottlenecks. Activates for "can this scale," "validate my business model," "what's my bottleneck," or when planning for growth.
Skill Details
name: scale-validator description: Use this skill when users need to validate if their business can scale, stress-test their model, or assess bottlenecks. Activates for "can this scale," "validate my business model," "what's my bottleneck," or when planning for growth. version: 1.0.0 tags:
- business
- hormozi
- validation
- scale
- unit-economics
- bottlenecks
- leverage auto_activate: true
Scale Validator - Hormozi 10x Stress Test
Stress-test business models by imagining 10x growth and asking: "What breaks?"
Hormozi's Core Principle: "A business model is only as good as its constraints allow."
When This Activates
- User asks "can this scale"
- User asks "validate my business model"
- User asks "what's my bottleneck"
- User says "I'm stuck at [revenue]"
- User asks "how do I grow beyond [number]"
- User mentions hitting a ceiling
The Framework
Core Question:
If you 10x'd your business tomorrow, what breaks first?
Four Leverage Types
| Leverage | Description | Scale Factor |
|---|---|---|
| Labor | Other people's work | Low |
| Capital | Other people's money | Medium |
| Code/Media | Software/content 24/7 | High |
| Products | Standardized offerings | Highest |
Scoring Dimensions
| Dimension | Weight | What It Measures |
|---|---|---|
| Time Independence | 2x | Can it run without you? |
| Unit Economics | 2x | Do the numbers work at scale? |
| Bottleneck Clarity | 1.5x | Do you know what's constraining? |
| Leverage Active | 1x | How many leverage types? |
| Delivery Scalability | 1.5x | Can you deliver 10x without 10x cost? |
| Margin Integrity | 1x | Do margins hold at scale? |
Max Score: 100 points
Rating Scale
| Score | Rating | Verdict |
|---|---|---|
| 85-100 | Scale-Ready | Pour fuel on fire |
| 70-84 | Strong Foundation | Fix weak points first |
| 55-69 | Fixable | Address constraints first |
| 40-54 | Risky | Major issues to fix |
| 0-39 | Broken Model | Rebuild fundamentals |
Common Bottlenecks
| Type | Signs | Solution |
|---|---|---|
| Lead Gen | Not enough qualified leads | Optimize acquisition |
| Sales | Leads not converting | Improve sales process |
| Delivery | Can't fulfill demand | Systematize/delegate |
| Cash | Can't afford to grow | Improve margins/capital |
| Time | Founder maxed out | Delegate/hire |
Integration
| Skill | When to Use |
|---|---|
business-model-auditor |
Deeper model analysis |
offer-validator |
Validate the offer scaling |
lead-channel-optimizer |
Optimize acquisition |
execution-accelerator |
Get unstuck |
pricing-strategist |
Fix unit economics |
For detailed scoring criteria, assessment templates, and scale roadmaps: references/full-guide.md
Related Skills
Attack Tree Construction
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
Grafana Dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
Matplotlib
Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.
Scientific Visualization
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
Seaborn
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
Shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model
Pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Query Writing
For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
Pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Scientific Visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
