style: format all files with prettier

2026-03-18 09:37:15 +00:00 · 2026-01-19 17:07:03 -05:00
parent 8d37048deb
commit 56848874a2
355 changed files with 15215 additions and 10241 deletions
--- a/plugins/startup-business-analyst/README.md
+++ b/plugins/startup-business-analyst/README.md
@@ -52,21 +52,27 @@ Skills activate automatically based on your questions:
 ### Commands

 **Market Opportunity Analysis:**
+
 ```bash
 /startup-business-analyst:market-opportunity
 ```
+
 Generates comprehensive market sizing with TAM/SAM/SOM breakdown.

 **Financial Projections:**
+
 ```bash
 /startup-business-analyst:financial-projections
 ```
+
 Creates 3-scenario financial model with revenue, costs, and runway.

 **Business Case:**
+
 ```bash
 /startup-business-analyst:business-case
 ```
+
 Produces investor-ready business case document.

 ### Agent Usage
@@ -84,6 +90,7 @@ The startup-analyst agent triggers automatically for business-related questions:
 ### Market Sizing Analysis

 Covers three methodologies:
+
 - **Top-down**: Industry reports and market research
 - **Bottom-up**: Customer segment calculations
 - **Value theory**: Problem value and willingness to pay
@@ -93,6 +100,7 @@ Includes templates for SaaS, marketplace, consumer, B2B, and fintech.
 ### Startup Financial Modeling

 Components:
+
 - Revenue projections (by customer segment)
 - Cost structure (COGS, S&M, R&D, G&A)
 - Cash flow and runway calculations
@@ -102,6 +110,7 @@ Components:
 ### Team Composition Analysis

 Covers:
+
 - Role-by-stage recommendations
 - Compensation benchmarks (US-focused)
 - Equity/options allocation strategies
@@ -111,6 +120,7 @@ Covers:
 ### Competitive Landscape

 Frameworks:
+
 - Porter's Five Forces
 - Blue Ocean Strategy
 - Positioning maps
@@ -120,6 +130,7 @@ Frameworks:
 ### Startup Metrics Framework

 Business model coverage:
+
 - **SaaS**: ARR, MRR, NRR, CAC, LTV, Magic Number
 - **Marketplace**: GMV, Take Rate, Liquidity
 - **Consumer**: DAU/MAU, Retention, Virality
@@ -134,6 +145,7 @@ Business model coverage:
 "Calculate TAM/SAM/SOM for an AI-powered email marketing tool for e-commerce"

 → Skill activates and provides:
+
 - TAM: Total email marketing software market
 - SAM: AI-powered tools for e-commerce segment
 - SOM: Realistic 3-5 year capture
@@ -148,6 +160,7 @@ Business model coverage:
 "Create a 3-year financial model for a SaaS product with $50/mo pricing"

 → Command generates:
+
 - Revenue by cohort
 - Cost structure breakdown
 - Headcount plan
@@ -162,6 +175,7 @@ Business model coverage:
 "Analyze competitors in the project management software space"

 → Agent provides:
+
 - Competitive landscape map
 - Feature comparison matrix
 - Pricing analysis
--- a/plugins/startup-business-analyst/agents/startup-analyst.md
+++ b/plugins/startup-business-analyst/agents/startup-analyst.md
@@ -13,6 +13,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 ## Core Expertise

 ### Market Sizing & Opportunity Analysis
+
 - TAM/SAM/SOM calculations using bottom-up and top-down methodologies
 - Market research and data gathering from credible sources
 - Value theory approaches for new market categories
@@ -21,6 +22,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Growth projections and market evolution analysis

 ### Financial Modeling
+
 - Cohort-based revenue projections
 - Unit economics analysis (CAC, LTV, payback period)
 - 3-5 year financial models with scenarios
@@ -30,6 +32,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Business model optimization

 ### Competitive Analysis
+
 - Porter's Five Forces application
 - Blue Ocean Strategy frameworks
 - Competitive positioning and differentiation
@@ -38,6 +41,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Sustainable competitive advantage assessment

 ### Team & Organization Planning
+
 - Hiring plans by stage (pre-seed, seed, Series A)
 - Compensation benchmarking and equity allocation
 - Organizational design and reporting structures
@@ -45,6 +49,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Full-time vs. contractor decisions

 ### Startup Metrics & KPIs
+
 - Business model-specific metrics (SaaS, marketplace, consumer, B2B)
 - Unit economics tracking and optimization
 - Efficiency metrics (burn multiple, magic number, Rule of 40)
@@ -54,6 +59,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 ## Capabilities

 ### Research & Analysis
+
 - Web search for current market data and reports
 - Public company analysis for validation
 - Competitive intelligence gathering
@@ -61,6 +67,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Data source evaluation and citation

 ### Financial Planning
+
 - Revenue modeling with realistic assumptions
 - Cost structure optimization
 - Scenario planning (conservative, base, optimistic)
@@ -68,6 +75,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Break-even and profitability analysis

 ### Strategic Advisory
+
 - Go-to-market strategy development
 - Pricing and packaging recommendations
 - Customer segmentation and prioritization
@@ -75,6 +83,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Market entry approaches

 ### Documentation
+
 - Investor-ready analyses and reports
 - Business case development
 - Pitch deck support materials
@@ -97,6 +106,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 ## Knowledge Base

 ### Market Sizing
+
 - Bottom-up, top-down, and value theory methodologies
 - Data sources (government, industry reports, public companies)
 - Industry-specific approaches for different business models
@@ -104,6 +114,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Common pitfalls and how to avoid them

 ### Financial Modeling
+
 - Cohort-based revenue modeling
 - SaaS, marketplace, consumer, and B2B model templates
 - Unit economics frameworks
@@ -111,24 +122,28 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Fundraising scenarios and dilution

 ### Competitive Strategy
+
 - Framework application (Porter, Blue Ocean, positioning maps)
 - Differentiation strategies
 - Competitive intelligence sources
 - Sustainable advantage assessment

 ### Team Planning
+
 - Role-by-stage recommendations
 - Compensation benchmarks (US-focused, 2024)
 - Equity allocation by role and stage
 - Organizational design patterns

 ### Startup Metrics
+
 - Metrics by business model and stage
 - Investor expectations by round
 - Benchmark targets and ranges
 - Calculation methodologies

 ### Fundraising
+
 - Round sizing and timing
 - Investor expectations by stage
 - Pitch materials and data rooms
@@ -150,31 +165,37 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 ## Example Interactions

 **Market Sizing:**
+
 - "What's the TAM for a B2B SaaS project management tool for construction companies?"
 - "Calculate the addressable market for an AI-powered recruiting platform"
 - "Help me size the opportunity for a marketplace connecting freelance designers with startups"

 **Financial Modeling:**
+
 - "Create a 3-year financial model for my SaaS business with current $50K MRR"
 - "What should my burn rate be at $2M ARR?"
 - "Model the impact of raising $5M at a $20M pre-money valuation"

 **Competitive Analysis:**
+
 - "Analyze the competitive landscape for email marketing automation"
 - "How should we position against Salesforce in the construction vertical?"
 - "What are the barriers to entry in the fintech lending space?"

 **Team Planning:**
+
 - "What roles should I hire first after raising my seed round?"
 - "How much equity should I offer my first engineer?"
 - "What's a reasonable compensation package for a Head of Sales?"

 **Metrics & KPIs:**
+
 - "What metrics should I track for my marketplace startup?"
 - "Is my CAC of $2,500 and LTV of $8,000 good for enterprise SaaS?"
 - "Calculate my burn multiple and magic number"

 **Strategy:**
+
 - "Should I target SMBs or enterprise customers first?"
 - "How do I decide between freemium and sales-led go-to-market?"
 - "What pricing strategy makes sense for my stage?"
@@ -182,6 +203,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 ## When to Use This Agent

 **Trigger proactively for:**
+
 - Market sizing questions (TAM, SAM, SOM)
 - Financial projections and modeling
 - Unit economics analysis
@@ -193,6 +215,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 - Investor materials and analysis

 **Especially useful for:**
+
 - Pre-seed to Series A founders
 - First-time founders needing guidance
 - Fundraising preparation
@@ -204,6 +227,7 @@ Expert business analyst focused exclusively on startup-stage companies, providin
 ## Integration with Commands

 This agent works seamlessly with plugin commands:
+
 - Can invoke `/market-opportunity` for comprehensive market sizing
 - Can invoke `/financial-projections` for detailed financial models
 - Can invoke `/business-case` for complete business case documents
@@ -212,12 +236,14 @@ This agent works seamlessly with plugin commands:
 ## Tools and Resources

 **Has access to:**
+
 - Web search for current market data
 - All plugin skills for detailed frameworks
 - Read/Write for document creation
 - Calculation capabilities for financial analysis

 **Leverages skills:**
+
 - market-sizing-analysis
 - startup-financial-modeling
 - competitive-landscape
@@ -227,6 +253,7 @@ This agent works seamlessly with plugin commands:
 ## Quality Standards

 **All analyses must:**
+
 - ✅ Use credible, cited data sources
 - ✅ Document assumptions clearly
 - ✅ Provide realistic, conservative estimates
@@ -237,6 +264,7 @@ This agent works seamlessly with plugin commands:
 - ✅ Acknowledge limitations and risks

 **Never:**
+
 - ❌ Make unsupported claims
 - ❌ Use overly optimistic assumptions
 - ❌ Skip validation steps
@@ -248,6 +276,7 @@ This agent works seamlessly with plugin commands:

 **For Analysis:**
 Use structured sections with:
+
 - Clear headers and subheaders
 - Tables for data presentation
 - Bullet points for lists
@@ -259,6 +288,7 @@ Use structured sections with:

 **For Calculations:**
 Always show:
+
 - Formula used
 - Input values
 - Step-by-step calculation
@@ -268,6 +298,7 @@ Always show:

 **For Recommendations:**
 Provide:
+
 - Specific, actionable steps
 - Rationale for each recommendation
 - Expected outcomes
@@ -278,23 +309,27 @@ Provide:
 ## Special Considerations

 **Stage Awareness:**
+
 - Pre-seed: Focus on product-market fit signals, not revenue optimization
 - Seed: Balance growth and efficiency, establish unit economics baseline
 - Series A: Prove scalable, repeatable model with strong unit economics

 **Industry Nuances:**
+
 - SaaS: Focus on MRR, NDR, CAC payback
 - Marketplace: Emphasize GMV, take rate, liquidity
 - Consumer: Prioritize retention, virality, engagement
 - B2B: Highlight ACV, sales efficiency, win rate

 **Founder Context:**
+
 - First-time founders need more education and framework explanation
 - Repeat founders want faster, more tactical analysis
 - Technical founders may need GTM and business model guidance
 - Business founders may need product and technical strategy help

 **Investor Expectations:**
+
 - Angels: Focus on team, vision, early traction
 - Seed VCs: Product-market fit signals, market size, founding team
 - Series A VCs: Proven unit economics, growth rate, efficiency metrics
--- a/plugins/startup-business-analyst/commands/business-case.md
+++ b/plugins/startup-business-analyst/commands/business-case.md
@@ -1,6 +1,7 @@
 ---
 description: "Generate comprehensive investor-ready business case document with market, solution, financials, and strategy"
-allowed-tools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "WebSearch", "WebFetch"]
+allowed-tools:
+  ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "WebSearch", "WebFetch"]
 ---

 # Business Case Generator
@@ -10,6 +11,7 @@ Generate a comprehensive, investor-ready business case document covering market
 ## What This Command Does

 Create a complete business case including:
+
 1. Executive summary
 2. Problem and market opportunity
 3. Solution and product
@@ -29,16 +31,19 @@ When this command is invoked, follow these steps:
 Ask the user for key information:

 **Company Basics:**
+
 - Company name and elevator pitch
 - Stage (pre-seed, seed, Series A)
 - Problem being solved
 - Target customers

 **Audience:**
+
 - Who will read this? (VCs, angels, strategic partners)
 - What's the primary goal? (fundraising, partnership, internal planning)

 **Available Materials:**
+
 - Existing pitch deck or docs?
 - Market sizing data?
 - Financial model?
@@ -47,6 +52,7 @@ Ask the user for key information:
 ### Step 2: Activate Relevant Skills

 Reference skills for comprehensive analysis:
+
 - **market-sizing-analysis** - TAM/SAM/SOM calculations
 - **startup-financial-modeling** - Financial projections
 - **competitive-landscape** - Competitive analysis frameworks
@@ -64,28 +70,34 @@ Create a comprehensive document with these sections:
 ### Section 1: Executive Summary (1-2 pages)

 **Company Overview:**
+
 - One-sentence description
 - Founded, location, stage
 - Team highlights

 **Problem Statement:**
+
 - Core problem being solved (2-3 sentences)
 - Market pain quantified

 **Solution:**
+
 - How the product solves it (2-3 sentences)
 - Key differentiation

 **Market Opportunity:**
+
 - TAM: $X.XB
 - SAM: $X.XM
 - SOM (Year 5): $X.XM

 **Traction:**
+
 - Current metrics (MRR, customers, growth rate)
 - Key milestones achieved

 **Financial Snapshot:**
+
 ```
 | Metric | Current | Year 1 | Year 2 | Year 3 |
 |--------|---------|--------|--------|--------|
@@ -95,6 +107,7 @@ Create a comprehensive document with these sections:
 ```

 **Funding Ask:**
+
 - Amount seeking
 - Use of proceeds (top 3-4)
 - Expected milestones
@@ -102,17 +115,20 @@ Create a comprehensive document with these sections:
 ### Section 2: Problem & Market Opportunity (2-3 pages)

 **The Problem:**
+
 - Detailed problem description
 - Who experiences this problem
 - Current solutions and their limitations
 - Cost of the problem (quantified)

 **Market Landscape:**
+
 - Industry overview
 - Key trends driving opportunity
 - Market growth rate and drivers

 **Market Sizing:**
+
 - TAM calculation and methodology
 - SAM with filters applied
 - SOM with assumptions
@@ -120,6 +136,7 @@ Create a comprehensive document with these sections:
 - Comparison to public companies

 **Target Customer Profile:**
+
 - Primary segments
 - Customer characteristics
 - Decision-makers and buying process
@@ -127,23 +144,27 @@ Create a comprehensive document with these sections:
 ### Section 3: Solution & Product (2-3 pages)

 **Product Overview:**
+
 - What it does (features and capabilities)
 - How it works (architecture/approach)
 - Key differentiators
 - Technology advantages

 **Value Proposition:**
+
 - Benefits by customer segment
 - ROI or value delivered
 - Time to value

 **Product Roadmap:**
+
 - Current state
 - Near-term (6 months)
 - Medium-term (12-18 months)
 - Vision (2-3 years)

 **Intellectual Property:**
+
 - Patents (filed, pending)
 - Proprietary technology
 - Data advantages
@@ -152,11 +173,13 @@ Create a comprehensive document with these sections:
 ### Section 4: Competitive Analysis (2 pages)

 **Competitive Landscape:**
+
 - Direct competitors
 - Indirect competitors (alternatives)
 - Adjacent players (potential entrants)

 **Competitive Matrix:**
+
 ```
 | Feature/Factor | Us | Comp A | Comp B | Comp C |
 |----------------|----|---------| -------|--------|
@@ -166,39 +189,46 @@ Create a comprehensive document with these sections:
 ```

 **Differentiation:**
+
 - 3-5 key differentiators
 - Why these matter to customers
 - Defensibility of advantages

 **Competitive Positioning:**
+
 - Positioning map (2-3 dimensions)
 - Market positioning statement

 **Barriers to Entry:**
+
 - What protects against competition
 - Network effects, switching costs, etc.

 ### Section 5: Business Model & Go-to-Market (2 pages)

 **Business Model:**
+
 - Revenue model (subscriptions, transactions, etc.)
 - Pricing strategy and tiers
 - Customer acquisition approach
 - Expansion revenue strategy

 **Go-to-Market Strategy:**
+
 - Customer acquisition channels
 - Sales model (self-serve, sales-led, hybrid)
 - Customer acquisition cost (CAC)
 - Sales cycle and conversion rates

 **Marketing Strategy:**
+
 - Positioning and messaging
 - Channel strategy
 - Content and demand generation
 - Partnerships and integrations

 **Customer Success:**
+
 - Onboarding approach
 - Support model
 - Retention strategy
@@ -207,11 +237,13 @@ Create a comprehensive document with these sections:
 ### Section 6: Financial Projections (2-3 pages)

 **Revenue Model:**
+
 - Cohort-based projections
 - Key assumptions
 - Revenue breakdown by segment

 **3-Year Financial Summary:**
+
 ```
 | Metric | Year 1 | Year 2 | Year 3 |
 |--------|--------|--------|--------|
@@ -223,6 +255,7 @@ Create a comprehensive document with these sections:
 ```

 **Unit Economics:**
+
 - CAC: $X,XXX
 - LTV: $X,XXX
 - LTV:CAC ratio: X.X
@@ -230,6 +263,7 @@ Create a comprehensive document with these sections:
 - Gross margin: XX%

 **Key Metrics Trajectory:**
+
 ```
 | Metric | Current | Year 1 | Year 2 | Year 3 |
 |--------|---------|--------|--------|--------|
@@ -240,10 +274,12 @@ Create a comprehensive document with these sections:
 ```

 **Scenario Analysis:**
+
 - Conservative, base, optimistic
 - Key drivers and sensitivities

 **Path to Profitability:**
+
 - Break-even timeline
 - Key milestones
 - Unit economics at scale
@@ -252,22 +288,26 @@ Create a comprehensive document with these sections:

 **Leadership Team:**
 For each founder/executive:
+
 - Name, title, photo (if available)
 - Relevant background (2-3 sentences)
 - Key accomplishments
 - Why they're uniquely qualified

 **Current Team:**
+
 - Headcount by department
 - Key hires and their backgrounds
 - Advisory board

 **Hiring Plan:**
+
 - Year 1-3 headcount growth
 - Key roles to fill
 - Recruiting strategy

 **Organization Evolution:**
+
 ```
 Current (5 people) → Year 1 (15) → Year 2 (35) → Year 3 (60)
 Engineering: 3 → 7 → 15 → 25
@@ -276,6 +316,7 @@ Other: 1 → 4 → 8 → 15
 ```

 **Equity & Compensation:**
+
 - Option pool sizing
 - Compensation philosophy
 - Retention strategy
@@ -283,12 +324,14 @@ Other: 1 → 4 → 8 → 15
 ### Section 8: Traction & Milestones (1 page)

 **Current Traction:**
+
 - Revenue or user metrics
 - Growth rate
 - Key customer wins
 - Product development progress

 **Milestones Achieved:**
+
 - Product launches
 - Funding rounds
 - Team hires
@@ -296,6 +339,7 @@ Other: 1 → 4 → 8 → 15
 - Partnerships

 **Upcoming Milestones (12-18 months):**
+
 - Product milestones
 - Revenue targets
 - Customer goals
@@ -305,24 +349,28 @@ Other: 1 → 4 → 8 → 15
 ### Section 9: Risks & Mitigation (1 page)

 **Market Risks:**
+
 - Market size assumptions
 - Competitive intensity
 - Substitute adoption
 - Mitigation strategies

 **Execution Risks:**
+
 - Product development
 - Go-to-market effectiveness
 - Hiring and retention
 - Mitigation strategies

 **Financial Risks:**
+
 - Burn rate management
 - Fundraising market
 - Unit economics
 - Mitigation strategies

 **Regulatory/External Risks:**
+
 - Compliance requirements
 - Data privacy
 - Economic conditions
@@ -331,11 +379,13 @@ Other: 1 → 4 → 8 → 15
 ### Section 10: Funding Request & Use of Proceeds (1 page)

 **Funding Ask:**
+
 - Amount seeking: $X.XM
 - Structure: Equity, SAFE, convertible note
 - Target valuation: $X.XM (if applicable)

 **Use of Proceeds:**
+
 ```
 Total Raise: $5.0M
 - Product Development: $2.0M (40%)
@@ -357,6 +407,7 @@ Total Raise: $5.0M
 ```

 **Milestones to Achieve:**
+
 - Revenue: $X.XM ARR (X% growth)
 - Customer: XXX customers
 - Product: Key features launched
@@ -364,11 +415,13 @@ Total Raise: $5.0M
 - Metric: Key metric targets

 **Expected Timeline:**
+
 - 18-24 month runway
 - Achieve milestones in 15-18 months
 - 6-month buffer for next raise

 **Next Round:**
+
 - Series A in 18-24 months
 - Expected metrics at that time
 - Target raise amount
@@ -378,6 +431,7 @@ Total Raise: $5.0M
 ### Step 4: Enhance with Visuals

 Suggest including:
+
 - Charts for market sizing (TAM funnel)
 - Product screenshots or mockups
 - Positioning maps
@@ -389,6 +443,7 @@ Suggest including:
 ### Step 5: Provide Additional Sections (Optional)

 **If Relevant, Add:**
+
 - Regulatory/Compliance section (for regulated industries)
 - Technology Architecture (for deep tech)
 - Clinical/Scientific Data (for biotech/health tech)
@@ -398,6 +453,7 @@ Suggest including:
 ### Step 6: Create Executive Summary Slide

 Provide one-page summary for quick review:
+
 - Problem & Solution (3 bullets each)
 - Market: TAM/SAM/SOM
 - Traction: Key metrics
@@ -408,6 +464,7 @@ Provide one-page summary for quick review:
 ### Step 7: Save Business Case

 Offer to save as markdown:
+
 - Filename: `business-case-[company-name]-YYYY-MM-DD.md`
 - Suggest converting to PDF for sharing
 - Provide tips for presentation format
@@ -415,6 +472,7 @@ Offer to save as markdown:
 ## Best Practices

 **Do:**
+
 - Lead with customer problem
 - Quantify everything
 - Show, don't just tell (use data)
@@ -425,6 +483,7 @@ Offer to save as markdown:
 - Focus on differentiation

 **Don't:**
+
 - Use jargon without explanation
 - Make unsupported claims
 - Ignore competition
@@ -436,6 +495,7 @@ Offer to save as markdown:
 ## Integration with Other Commands

 This command synthesizes outputs from:
+
 - `/market-opportunity` - Include TAM/SAM/SOM analysis
 - `/financial-projections` - Include full financial model

--- a/plugins/startup-business-analyst/commands/financial-projections.md
+++ b/plugins/startup-business-analyst/commands/financial-projections.md
@@ -1,6 +1,7 @@
 ---
 description: "Create detailed 3-5 year financial model with revenue, costs, cash flow, and scenarios"
-allowed-tools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "WebSearch", "WebFetch"]
+allowed-tools:
+  ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "WebSearch", "WebFetch"]
 ---

 # Financial Projections
@@ -10,6 +11,7 @@ Create a comprehensive 3-5 year financial model with revenue projections, cost s
 ## What This Command Does

 This command builds a complete financial model including:
+
 1. Cohort-based revenue projections
 2. Detailed cost structure (COGS, S&M, R&D, G&A)
 3. Headcount planning by role
@@ -26,34 +28,40 @@ When this command is invoked, follow these steps:
 Ask the user for essential information:

 **Business Model:**
+
 - Revenue model (SaaS, marketplace, transaction, etc.)
 - Pricing structure (tiers, average price)
 - Target customer segments

 **Starting Point:**
+
 - Current MRR/ARR (if any)
 - Current customer count
 - Current team size
 - Current cash balance

 **Growth Assumptions:**
+
 - Expected monthly customer acquisition
 - Customer retention/churn rate
 - Average contract value (ACV)
 - Sales cycle length

 **Cost Assumptions:**
+
 - Gross margin or COGS %
 - S&M budget or CAC target
 - Current burn rate (if applicable)

 **Funding:**
+
 - Planned fundraising (amount, timing)
 - Pre/post-money valuation

 ### Step 2: Activate startup-financial-modeling Skill

 The startup-financial-modeling skill provides frameworks. Reference it for:
+
 - Revenue modeling approaches
 - Cost structure templates
 - Headcount planning guidance
@@ -64,18 +72,21 @@ The startup-financial-modeling skill provides frameworks. Reference it for:
 **Use Cohort-Based Approach:**

 For each month, track:
+
 1. New customers acquired
 2. Existing customers retained (apply churn)
 3. Revenue per cohort (customers × ARPU)
 4. Expansion revenue (upsells)

 **Formula:**
+
 ```
 MRR (Month N) = Σ across all cohorts:
  (Cohort Size × Retention Rate × ARPU) + Expansion
 ```

 **Project:**
+
 - Monthly detail for Year 1-2
 - Quarterly detail for Year 3
 - Annual for Years 4-5
@@ -85,29 +96,34 @@ MRR (Month N) = Σ across all cohorts:
 Break down operating expenses:

 **1. Cost of Goods Sold (COGS)**
+
 - Hosting/infrastructure (% of revenue or fixed)
 - Payment processing (% of revenue)
 - Variable customer support
 - Third-party services

 Target gross margin:
+
 - SaaS: 75-85%
 - Marketplace: 60-70%
 - E-commerce: 40-60%

 **2. Sales & Marketing (S&M)**
+
 - Sales team compensation
 - Marketing programs
 - Tools and software
 - Target: 40-60% of revenue (early stage)

 **3. Research & Development (R&D)**
+
 - Engineering team
 - Product management
 - Design
 - Target: 30-40% of revenue

 **4. General & Administrative (G&A)**
+
 - Executive team
 - Finance, legal, HR
 - Office and facilities
@@ -118,11 +134,13 @@ Target gross margin:
 Create role-by-role hiring plan:

 **Reference team-composition-analysis skill for:**
+
 - Roles by stage
 - Compensation benchmarks
 - Hiring velocity assumptions

 **For each role:**
+
 - Title and department
 - Start date (month/quarter)
 - Base salary
@@ -130,6 +148,7 @@ Create role-by-role hiring plan:
 - Equity grant

 **Track departmental ratios:**
+
 - Engineering: 40-50% of team
 - Sales & Marketing: 25-35%
 - G&A: 10-15%
@@ -151,6 +170,7 @@ Runway = Cash Balance / Monthly Burn Rate
 ```

 **Include Funding Events:**
+
 - Timing of raises
 - Amount raised
 - Use of proceeds
@@ -161,17 +181,20 @@ Runway = Cash Balance / Monthly Burn Rate
 Calculate monthly/quarterly:

 **Unit Economics:**
+
 - CAC (S&M spend / new customers)
 - LTV (ARPU × margin% / churn rate)
 - LTV:CAC ratio (target > 3.0)
 - CAC payback period (target < 18 months)

 **Efficiency Metrics:**
+
 - Burn multiple (net burn / net new ARR) - target < 2.0
 - Magic number (net new ARR / S&M spend) - target > 0.5
 - Rule of 40 (growth% + margin%) - target > 40%

 **Cash Metrics:**
+
 - Monthly burn rate
 - Runway in months
 - Cash efficiency
@@ -181,16 +204,19 @@ Calculate monthly/quarterly:
 Build conservative, base, and optimistic projections:

 **Conservative (P10):**
+
 - New customers: -30% vs. base
 - Churn: +20% vs. base
 - Pricing: -15% vs. base
 - CAC: +25% vs. base

 **Base (P50):**
+
 - Most likely assumptions
 - Primary planning scenario

 **Optimistic (P90):**
+
 - New customers: +30% vs. base
 - Churn: -20% vs. base
 - Pricing: +15% vs. base
@@ -201,11 +227,13 @@ Build conservative, base, and optimistic projections:
 Create comprehensive markdown report with tables:

 **Section 1: Executive Summary**
+
 - 3-5 year financial snapshot
 - Key metrics at scale
 - Funding requirements

 **Section 2: Model Assumptions**
+
 - Revenue model and pricing
 - Growth assumptions
 - Cost structure assumptions
@@ -213,12 +241,14 @@ Create comprehensive markdown report with tables:

 **Section 3: Revenue Projections**
 Monthly/quarterly tables showing:
+
 ```
 | Month | New Customers | Total Customers | MRR | ARR | Growth % |
 |-------|---------------|-----------------|-----|-----|----------|
 ```

 **Section 4: Cost Breakdown**
+
 ```
 | Department | Year 1 | Year 2 | Year 3 | % Revenue |
 |------------|--------|--------|--------|-----------|
@@ -229,6 +259,7 @@ Monthly/quarterly tables showing:
 ```

 **Section 5: Headcount Plan**
+
 ```
 | Department | Current | Year 1 | Year 2 | Year 3 |
 |------------|---------|--------|--------|--------|
@@ -236,12 +267,14 @@ Monthly/quarterly tables showing:
 ```

 **Section 6: Cash Flow Analysis**
+
 ```
 | Quarter | Revenue | Expenses | Net Burn | Cash Balance | Runway |
 |---------|---------|----------|----------|--------------|--------|
 ```

 **Section 7: Key Metrics**
+
 ```
 | Metric | Year 1 | Year 2 | Year 3 | Target |
 |--------|--------|--------|--------|--------|
@@ -251,6 +284,7 @@ Monthly/quarterly tables showing:
 ```

 **Section 8: Scenario Analysis**
+
 ```
 | Scenario | Year 3 ARR | Customers | Burn | Runway |
 |----------|------------|-----------|------|--------|
@@ -260,12 +294,14 @@ Monthly/quarterly tables showing:
 ```

 **Section 9: Funding Requirements**
+
 - Amount needed
 - Use of proceeds breakdown
 - Milestones to achieve
 - Expected valuation impact

 **Section 10: Validation**
+
 - Sanity checks performed
 - Benchmark comparisons
 - Risk factors
@@ -274,6 +310,7 @@ Monthly/quarterly tables showing:
 ### Step 10: Save Model

 Offer to save as markdown file:
+
 - Suggest filename: `financial-projections-YYYY-MM-DD.md`
 - Include note that user can convert to Excel/Sheets
 - Provide formulas for key calculations
@@ -281,6 +318,7 @@ Offer to save as markdown file:
 ## Financial Model Best Practices

 **Do:**
+
 - Use cohort-based revenue model
 - Include 3 scenarios
 - Show monthly detail (Year 1-2)
@@ -291,6 +329,7 @@ Offer to save as markdown file:
 - Include fundraising milestones

 **Don't:**
+
 - Be overly optimistic on growth
 - Underestimate costs
 - Forget fully-loaded compensation
@@ -302,6 +341,7 @@ Offer to save as markdown file:
 ## Integration with Other Commands

 Pairs well with:
+
 - `/market-opportunity` - Use SOM for revenue ceiling
 - `/business-case` - Include projections in business case

--- a/plugins/startup-business-analyst/commands/market-opportunity.md
+++ b/plugins/startup-business-analyst/commands/market-opportunity.md
@@ -1,6 +1,7 @@
 ---
 description: "Generate comprehensive market opportunity analysis with TAM/SAM/SOM calculations"
-allowed-tools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "WebSearch", "WebFetch"]
+allowed-tools:
+  ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "WebSearch", "WebFetch"]
 ---

 # Market Opportunity Analysis
@@ -10,6 +11,7 @@ Generate a comprehensive market opportunity analysis for a startup, including To
 ## What This Command Does

 This command guides through an interactive market sizing process to:
+
 1. Define the target market and customer segments
 2. Gather relevant market data
 3. Calculate TAM using bottom-up methodology
@@ -25,6 +27,7 @@ When this command is invoked, follow these steps:
 ### Step 1: Gather Context

 Ask the user for essential information:
+
 - **Product/Service Description:** What problem is being solved?
 - **Target Customers:** Who is the ideal customer? (industry, size, geography)
 - **Business Model:** How does pricing work? (subscription, transaction, etc.)
@@ -34,6 +37,7 @@ Ask the user for essential information:
 ### Step 2: Activate market-sizing-analysis Skill

 The market-sizing-analysis skill provides comprehensive methodologies. Reference it for:
+
 - Bottom-up calculation frameworks
 - Top-down validation approaches
 - Industry-specific templates
@@ -42,18 +46,21 @@ The market-sizing-analysis skill provides comprehensive methodologies. Reference
 ### Step 3: Conduct Bottom-Up Analysis

 **For B2B/SaaS:**
+
 1. Define customer segments (company size, industry, use case)
 2. Estimate number of companies in each segment
 3. Determine average contract value (ACV) per segment
 4. Calculate TAM: Σ (Segment Size × ACV)

 **For Consumer/Marketplace:**
+
 1. Define target user demographics
 2. Estimate total addressable users
 3. Determine average revenue per user (ARPU)
 4. Calculate TAM: Total Users × ARPU × Frequency

 **For Transactions/E-commerce:**
+
 1. Estimate total transaction volume (GMV)
 2. Determine take rate or margin
 3. Calculate TAM: Total GMV × Take Rate
@@ -61,11 +68,13 @@ The market-sizing-analysis skill provides comprehensive methodologies. Reference
 ### Step 4: Gather Market Data

 Use available tools to research:
+
 - **WebSearch:** Find industry reports, market size estimates, public company data
 - **Cite all sources** with URLs and publication dates
 - **Document assumptions** clearly

 Recommended data sources (from skill):
+
 - Government data (Census, BLS)
 - Industry reports (Gartner, Forrester, Statista)
 - Public company filings (10-K reports)
@@ -75,6 +84,7 @@ Recommended data sources (from skill):
 ### Step 5: Top-Down Validation

 Validate bottom-up calculation:
+
 1. Find total market category size from research
 2. Apply geographic filters
 3. Apply segment/product filters
@@ -85,12 +95,14 @@ If variance > 30%, investigate and explain differences.
 ### Step 6: Calculate SAM

 Apply realistic filters to narrow TAM:
+
 - **Geographic:** Regions actually serviceable
 - **Product Capability:** Features needed to serve
 - **Market Readiness:** Customers ready to adopt
 - **Addressable Switching:** Can reach and convert

 Formula:
+
 ```
 SAM = TAM × Geographic % × Product Fit % × Market Readiness %
 ```
@@ -100,10 +112,12 @@ SAM = TAM × Geographic % × Product Fit % × Market Readiness %
 Calculate realistic obtainable market share:

 **Conservative Approach (Recommended):**
+
 - Year 3: 2-3% of SAM
 - Year 5: 4-6% of SAM

 **Consider:**
+
 - Competitive intensity
 - Available resources (funding, team)
 - Go-to-market effectiveness
@@ -114,49 +128,58 @@ Calculate realistic obtainable market share:
 Generate a comprehensive markdown report with:

 **Section 1: Executive Summary**
+
 - Market opportunity in one paragraph
 - TAM/SAM/SOM headline numbers

 **Section 2: Market Definition**
+
 - Problem being solved
 - Target customer profile
 - Geographic scope
 - Time horizon

 **Section 3: Bottom-Up Analysis**
+
 - Customer segment breakdown
 - Segment sizing with sources
 - TAM calculation with formula
 - Assumptions documented

 **Section 4: Top-Down Validation**
+
 - Industry category and size
 - Filter application
 - Validated TAM
 - Comparison to bottom-up

 **Section 5: SAM Calculation**
+
 - Filters applied with rationale
 - SAM formula and result
 - Segment-level breakdown

 **Section 6: SOM Projection**
+
 - Market share assumptions
 - Year 3 and Year 5 estimates
 - Customer count implications
 - Revenue projections

 **Section 7: Market Growth**
+
 - Industry growth rate (CAGR)
 - Key growth drivers
 - 5-year market evolution

 **Section 8: Validation and Sanity Checks**
+
 - Public company comparisons
 - Customer count validation
 - Competitive context

 **Section 9: Investment Thesis**
+
 - Market opportunity assessment
 - Key positives and risks
 - Venture-scale potential
@@ -165,6 +188,7 @@ Generate a comprehensive markdown report with:
 ### Step 9: Save Report

 Offer to save the report as a markdown file:
+
 - Suggest filename: `market-opportunity-analysis-YYYY-MM-DD.md`
 - Use Write tool to create file
 - Confirm file location with user
@@ -172,6 +196,7 @@ Offer to save the report as a markdown file:
 ## Tips for Best Results

 **Do:**
+
 - Start with bottom-up (most credible)
 - Always triangulate with top-down
 - Cite all data sources
@@ -181,6 +206,7 @@ Offer to save the report as a markdown file:
 - Explain any data gaps or limitations

 **Don't:**
+
 - Rely solely on top-down
 - Cherry-pick optimistic data
 - Claim >10% SOM without strong justification
@@ -210,6 +236,7 @@ What's your pricing model?
 ## Integration with Other Commands

 This command pairs well with:
+
 - `/financial-projections` - Use SOM to build revenue model
 - `/business-case` - Include market sizing in business case

--- a/plugins/startup-business-analyst/skills/competitive-landscape/SKILL.md
+++ b/plugins/startup-business-analyst/skills/competitive-landscape/SKILL.md
@@ -19,6 +19,7 @@ Analyze industry attractiveness and competitive intensity.
 ### Force 1: Threat of New Entrants

 **Barriers to Entry:**
+
 - Capital requirements
 - Economies of scale
 - Switching costs
@@ -31,6 +32,7 @@ Analyze industry attractiveness and competitive intensity.
 **Low Threat:** High barriers (e.g., regulated industries, hardware)

 **Analysis Questions:**
+
 - How easy is it for new competitors to enter?
 - What would it cost to launch a competing product?
 - Are there network effects or switching costs protecting incumbents?
@@ -38,6 +40,7 @@ Analyze industry attractiveness and competitive intensity.
 ### Force 2: Bargaining Power of Suppliers

 **Supplier Power Factors:**
+
 - Supplier concentration
 - Availability of substitutes
 - Importance to supplier
@@ -48,6 +51,7 @@ Analyze industry attractiveness and competitive intensity.
 **Low Power:** Many alternatives, commoditized (e.g., generic services)

 **Analysis Questions:**
+
 - Who are our critical suppliers?
 - Could they raise prices or reduce quality?
 - Can we switch suppliers easily?
@@ -55,6 +59,7 @@ Analyze industry attractiveness and competitive intensity.
 ### Force 3: Bargaining Power of Buyers

 **Buyer Power Factors:**
+
 - Buyer concentration
 - Volume purchased
 - Product differentiation
@@ -65,6 +70,7 @@ Analyze industry attractiveness and competitive intensity.
 **Low Power:** Many small customers, differentiated product (e.g., consumer subscriptions)

 **Analysis Questions:**
+
 - Can customers easily switch to competitors?
 - Do few customers generate most revenue?
 - How price-sensitive are buyers?
@@ -72,6 +78,7 @@ Analyze industry attractiveness and competitive intensity.
 ### Force 4: Threat of Substitutes

 **Substitute Considerations:**
+
 - Alternative solutions
 - Price-performance tradeoff
 - Switching costs
@@ -81,6 +88,7 @@ Analyze industry attractiveness and competitive intensity.
 **Low Threat:** Unique solution, high switching cost (e.g., ERP systems)

 **Analysis Questions:**
+
 - What alternative ways can customers solve this problem?
 - How do substitutes compare on price and performance?
 - What's the cost to switch to a substitute?
@@ -88,6 +96,7 @@ Analyze industry attractiveness and competitive intensity.
 ### Force 5: Competitive Rivalry

 **Rivalry Intensity Factors:**
+
 - Number of competitors
 - Industry growth rate
 - Product differentiation
@@ -98,6 +107,7 @@ Analyze industry attractiveness and competitive intensity.
 **Low Rivalry:** Few competitors, fast growth, differentiated (e.g., emerging AI tools)

 **Analysis Questions:**
+
 - How many direct competitors exist?
 - Is the market growing or stagnant?
 - How differentiated are offerings?
@@ -107,13 +117,13 @@ Analyze industry attractiveness and competitive intensity.

 Create a scorecard:

-| Force | Intensity (1-5) | Impact | Key Factors |
-|-------|-----------------|--------|-------------|
-| New Entrants | 3 | Medium | Low barriers but network effects |
-| Supplier Power | 2 | Low | Many cloud providers |
-| Buyer Power | 4 | High | Enterprise customers concentrated |
-| Substitutes | 3 | Medium | Manual processes alternative |
-| Rivalry | 4 | High | 10+ direct competitors |
+| Force          | Intensity (1-5) | Impact | Key Factors                       |
+| -------------- | --------------- | ------ | --------------------------------- |
+| New Entrants   | 3               | Medium | Low barriers but network effects  |
+| Supplier Power | 2               | Low    | Many cloud providers              |
+| Buyer Power    | 4               | High   | Enterprise customers concentrated |
+| Substitutes    | 3               | Medium | Manual processes alternative      |
+| Rivalry        | 4               | High   | 10+ direct competitors            |

 **Overall Assessment:** Moderate industry attractiveness with high rivalry and buyer power

@@ -160,6 +170,7 @@ Budget Hotel Strategy:
 Find the sweet spot: Lower cost + higher value

 **Steps:**
+
 1. Map industry competing factors
 2. Identify factors to eliminate/reduce (cost savings)
 3. Identify factors to raise/create (differentiation)
@@ -172,6 +183,7 @@ Find the sweet spot: Lower cost + higher value
 Plot competitors on 2-3 key dimensions.

 **Example Dimensions:**
+
 - Price vs. Features
 - Complexity vs. Ease of Use
 - Enterprise vs. SMB Focus
@@ -179,12 +191,14 @@ Plot competitors on 2-3 key dimensions.
 - Generalist vs. Specialist

 **How to Create:**
+
 1. Choose 2 dimensions most important to customers
 2. Plot all competitors
 3. Identify gaps (white space)
 4. Validate gap represents real customer need

 **Example:**
+
 ```
 High Price
    |
@@ -238,6 +252,7 @@ Our product [statement of primary differentiation]
 ```

 **Example:**
+
 ```
 For e-commerce companies
 Who struggle with email marketing automation
@@ -252,6 +267,7 @@ Our product uses AI to personalize at scale
 ### Information Gathering

 **Public Sources:**
+
 - Company websites and blogs
 - Press releases and news
 - Job postings (hint at strategy)
@@ -262,6 +278,7 @@ Our product uses AI to personalize at scale
 - Patent filings

 **Direct Research:**
+
 - Customer interviews
 - Win/loss analysis
 - Sales team feedback
@@ -273,11 +290,13 @@ Our product uses AI to personalize at scale
 For each key competitor, document:

 **Company Overview:**
+
 - Founded, HQ, funding, size
 - Leadership team
 - Company stage and trajectory

 **Product:**
+
 - Core features
 - Target customers
 - Pricing and packaging
@@ -285,22 +304,26 @@ For each key competitor, document:
 - Recent launches

 **Go-to-Market:**
+
 - Sales model (self-serve, sales-led)
 - Marketing strategy
 - Distribution channels
 - Partnerships

 **Strengths:**
+
 - What they do better than anyone
 - Key competitive advantages
 - Market position

 **Weaknesses:**
+
 - Gaps in product
 - Customer complaints
 - Operational challenges

 **Strategy:**
+
 - Stated direction
 - Inferred priorities
 - Likely next moves
@@ -310,18 +333,21 @@ For each key competitor, document:
 ### Price Positioning

 **Premium (Top 25%):**
+
 - Superior product/service
 - Strong brand
 - High-touch sales
 - Enterprise focus

 **Mid-Market (Middle 50%):**
+
 - Balanced value
 - Standard features
 - Mixed sales model
 - Broad market

 **Value (Bottom 25%):**
+
 - Basic functionality
 - Self-service
 - Cost leadership
@@ -329,13 +355,14 @@ For each key competitor, document:

 ### Pricing Comparison Matrix

-| Competitor | Entry Price | Mid Tier | Enterprise | Model |
-|-----------|-------------|----------|------------|-------|
-| Competitor A | $29/mo | $99/mo | Custom | Subscription |
-| Competitor B | $49/mo | $199/mo | $499/mo | Subscription |
-| Us | $39/mo | $129/mo | Custom | Subscription |
+| Competitor   | Entry Price | Mid Tier | Enterprise | Model        |
+| ------------ | ----------- | -------- | ---------- | ------------ |
+| Competitor A | $29/mo      | $99/mo   | Custom     | Subscription |
+| Competitor B | $49/mo      | $199/mo  | $499/mo    | Subscription |
+| Us           | $39/mo      | $129/mo  | Custom     | Subscription |

 **Analysis:**
+
 - Are we priced competitively?
 - What does our pricing signal?
 - Are there gaps in our packaging?
@@ -345,21 +372,25 @@ For each key competitor, document:
 ### Market Entry Strategies

 **Direct Competition:**
+
 - Head-to-head against established players
 - Requires differentiation and resources
 - Example: Better features at lower price

 **Niche Focus:**
+
 - Target underserved segment
 - Become specialist vs. generalist
 - Example: "Salesforce for real estate"

 **Disruptive Innovation:**
+
 - Target non-consumers or low end
 - Improve over time to move upmarket
 - Example: Freemium model disrupting enterprise

 **Platform Play:**
+
 - Build ecosystem and network effects
 - Aggregate complementary services
 - Example: Marketplace or API platform
@@ -367,6 +398,7 @@ For each key competitor, document:
 ### Beachhead Market

 **Characteristics of Good Beachhead:**
+
 - Specific, reachable segment
 - Acute pain you solve well
 - Limited competition
@@ -381,32 +413,39 @@ Instead of "project management software", target "project management for constru
 ### Sustainable Advantages

 **Network Effects:**
+
 - Value increases with users
 - Example: Slack, marketplaces

 **Switching Costs:**
+
 - High cost to change
 - Example: CRM systems with data

 **Economies of Scale:**
+
 - Unit costs decrease with volume
 - Example: Cloud infrastructure

 **Brand:**
+
 - Trust and reputation
 - Example: Security software

 **Proprietary Technology:**
+
 - Patents or trade secrets
 - Example: Algorithms, data

 **Regulatory:**
+
 - Licenses or approvals
 - Example: Fintech, healthcare

 ### Testing Your Advantage

 Ask:
+
 - Can competitors copy this in < 2 years?
 - Does this matter to customers?
 - Do we execute this better than anyone?
@@ -419,17 +458,20 @@ If "no" to any, it's not a sustainable advantage.
 ### What to Track

 **Product Changes:**
+
 - New features
 - Pricing changes
 - Packaging adjustments

 **Market Signals:**
+
 - Funding announcements
 - Key hires (especially leadership)
 - Customer wins/losses
 - Partnerships

 **Performance Metrics:**
+
 - Revenue (if public or disclosed)
 - Customer count
 - Growth rate
@@ -438,28 +480,34 @@ If "no" to any, it's not a sustainable advantage.
 ### Monitoring Cadence

 **Weekly:**
+
 - Product release notes
 - News mentions

 **Monthly:**
+
 - Win/loss analysis review
 - Positioning map updates

 **Quarterly:**
+
 - Deep competitive review
 - Strategy adjustment

 **Annually:**
+
 - Major strategy reassessment
 - Market trends analysis

 ## Additional Resources

 ### Reference Files
+
 - **`references/frameworks-deep-dive.md`** - Detailed application of each framework with worksheets
 - **`references/intel-sources.md`** - Comprehensive list of competitive intelligence sources

 ### Example Files
+
 - **`examples/competitor-analysis.md`** - Complete competitive analysis for a SaaS startup
 - **`examples/positioning-workshop.md`** - Step-by-step positioning development process

--- a/plugins/startup-business-analyst/skills/market-sizing-analysis/SKILL.md
+++ b/plugins/startup-business-analyst/skills/market-sizing-analysis/SKILL.md
@@ -17,18 +17,21 @@ Market sizing provides the foundation for startup strategy, fundraising, and bus
 ### The Three-Tier Market Framework

 **TAM (Total Addressable Market)**
+
 - Total revenue opportunity if achieving 100% market share
 - Defines the universe of potential customers
 - Used for long-term vision and market validation
 - Example: All email marketing software revenue globally

 **SAM (Serviceable Available Market)**
+
 - Portion of TAM targetable with current product/service
 - Accounts for geographic, segment, or capability constraints
 - Represents realistic addressable opportunity
 - Example: AI-powered email marketing for e-commerce in North America

 **SOM (Serviceable Obtainable Market)**
+
 - Realistic market share achievable in 3-5 years
 - Accounts for competition, resources, and market dynamics
 - Used for financial projections and fundraising
@@ -37,18 +40,21 @@ Market sizing provides the foundation for startup strategy, fundraising, and bus
 ### When to Use Each Methodology

 **Top-Down Analysis**
+
 - Use when established market research exists
 - Best for mature, well-defined markets
 - Validates market existence and growth
 - Starts with industry reports and narrows down

 **Bottom-Up Analysis**
+
 - Use when targeting specific customer segments
 - Best for new or niche markets
 - Most credible for investors
 - Builds from customer data and pricing

 **Value Theory**
+
 - Use when creating new market categories
 - Best for disruptive innovations
 - Estimates based on value creation
@@ -61,12 +67,14 @@ Market sizing provides the foundation for startup strategy, fundraising, and bus
 Start with total market size and narrow to addressable segments.

 **Process:**
+
 1. Identify total market category from research reports
 2. Apply geographic filters (target regions)
 3. Apply segment filters (target industries/customers)
 4. Calculate competitive positioning adjustments

 **Formula:**
+
 ```
 TAM = Total Market Category Size
 SAM = TAM × Geographic % × Segment %
@@ -84,12 +92,14 @@ SOM = SAM × Realistic Capture Rate (2-5%)
 Build market size from customer segment calculations.

 **Process:**
+
 1. Define target customer segments
 2. Estimate number of potential customers per segment
 3. Determine average revenue per customer
 4. Calculate realistic penetration rates

 **Formula:**
+
 ```
 TAM = Σ (Segment Size × Annual Revenue per Customer)
 SAM = TAM × (Segments You Can Serve / Total Segments)
@@ -107,6 +117,7 @@ SOM = SAM × Realistic Penetration Rate (Year 3-5)
 Calculate based on value created and willingness to pay.

 **Process:**
+
 1. Identify problem being solved
 2. Quantify current cost of problem (time, money, inefficiency)
 3. Calculate value of solution (savings, gains, efficiency)
@@ -114,6 +125,7 @@ Calculate based on value created and willingness to pay.
 5. Multiply by addressable customer base

 **Formula:**
+
 ```
 Value per Customer = Problem Cost × % Solved by Solution
 Price per Customer = Value × Willingness to Pay % (10-30%)
@@ -135,6 +147,7 @@ SOM = SAM × Realistic Adoption Rate
 Clearly specify what market is being measured.

 **Questions to answer:**
+
 - What problem is being solved?
 - Who are the target customers?
 - What's the product/service category?
@@ -142,6 +155,7 @@ Clearly specify what market is being measured.
 - What's the time horizon?

 **Example:**
+
 - Problem: E-commerce companies struggle with email marketing automation
 - Customers: E-commerce stores with >$1M annual revenue
 - Category: AI-powered email marketing software
@@ -153,12 +167,14 @@ Clearly specify what market is being measured.
 Identify credible data for calculations.

 **Top-Down Sources:**
+
 - Industry research reports (Gartner, Forrester, IDC)
 - Government statistics (Census, BLS, trade associations)
 - Public company filings and earnings
 - Market research firms (Statista, CB Insights, PitchBook)

 **Bottom-Up Sources:**
+
 - Customer interviews and surveys
 - Sales data and CRM records
 - Industry databases (LinkedIn, ZoomInfo, Crunchbase)
@@ -166,6 +182,7 @@ Identify credible data for calculations.
 - Academic research

 **Value Theory Sources:**
+
 - Customer problem quantification
 - Time/cost studies
 - ROI case studies
@@ -176,18 +193,21 @@ Identify credible data for calculations.
 Apply chosen methodology to determine total market.

 **For Top-Down:**
+
 1. Find total category size from research
 2. Document data source and year
 3. Apply growth rate if needed
 4. Validate with multiple sources

 **For Bottom-Up:**
+
 1. Count total potential customers
 2. Calculate average annual revenue per customer
 3. Multiply to get TAM
 4. Break down by segment

 **For Value Theory:**
+
 1. Quantify total addressable customer base
 2. Calculate value per customer
 3. Estimate pricing based on value
@@ -198,6 +218,7 @@ Apply chosen methodology to determine total market.
 Narrow TAM to serviceable addressable market.

 **Apply Filters:**
+
 - Geographic constraints (regions you can serve)
 - Product limitations (features you currently have)
 - Customer requirements (size, industry, use case)
@@ -205,11 +226,13 @@ Narrow TAM to serviceable addressable market.
 - Regulatory or compliance restrictions

 **Formula:**
+
 ```
 SAM = TAM × (% matching all filters)
 ```

 **Example:**
+
 - TAM: $10B global email marketing
 - Geographic filter: 40% (North America)
 - Product filter: 30% (e-commerce focus)
@@ -221,6 +244,7 @@ SAM = TAM × (% matching all filters)
 Determine realistic obtainable market share.

 **Consider:**
+
 - Current market share of competitors
 - Typical market share for new entrants (2-5%)
 - Resources available (funding, team, time)
@@ -229,12 +253,14 @@ Determine realistic obtainable market share.
 - Time to achieve (3-5 years typically)

 **Conservative Approach:**
+
 ```
 SOM (Year 3) = SAM × 2%
 SOM (Year 5) = SAM × 5%
 ```

 **Example:**
+
 - SAM: $720M
 - Year 3 SOM: $720M × 2% = $14.4M
 - Year 5 SOM: $720M × 5% = $36M
@@ -244,6 +270,7 @@ SOM (Year 5) = SAM × 5%
 Cross-check using multiple methods.

 **Validation Techniques:**
+
 1. Compare top-down and bottom-up results (should be within 30%)
 2. Check against public company revenues in space
 3. Validate customer count assumptions
@@ -252,6 +279,7 @@ Cross-check using multiple methods.
 6. Compare to similar market categories

 **Red Flags:**
+
 - TAM that's too small (< $1B for VC-backed startups)
 - TAM that's too large (unsupported by data)
 - SOM that's too aggressive (> 10% in 5 years for new entrant)
@@ -262,12 +290,14 @@ Cross-check using multiple methods.
 ### SaaS Markets

 **Key Metrics:**
+
 - Number of potential businesses in target segment
 - Average contract value (ACV)
 - Typical market penetration rates
 - Expansion revenue potential

 **TAM Calculation:**
+
 ```
 TAM = Total Target Companies × Average ACV × (1 + Expansion Rate)
 ```
@@ -275,11 +305,13 @@ TAM = Total Target Companies × Average ACV × (1 + Expansion Rate)
 ### Marketplace Markets

 **Key Metrics:**
+
 - Gross Merchandise Value (GMV) of category
 - Take rate (% of GMV you capture)
 - Total transactions or users

 **TAM Calculation:**
+
 ```
 TAM = Total Category GMV × Expected Take Rate
 ```
@@ -287,11 +319,13 @@ TAM = Total Category GMV × Expected Take Rate
 ### Consumer Markets

 **Key Metrics:**
+
 - Total addressable users/households
 - Average revenue per user (ARPU)
 - Engagement frequency

 **TAM Calculation:**
+
 ```
 TAM = Total Users × ARPU × Purchase Frequency per Year
 ```
@@ -299,11 +333,13 @@ TAM = Total Users × ARPU × Purchase Frequency per Year
 ### B2B Services

 **Key Metrics:**
+
 - Number of target companies by size/industry
 - Average project value or retainer
 - Typical buying frequency

 **TAM Calculation:**
+
 ```
 TAM = Total Target Companies × Average Deal Size × Deals per Year
 ```
@@ -313,6 +349,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
 ### For Investors

 **Structure:**
+
 1. Market definition and problem scope
 2. TAM/SAM/SOM with methodology
 3. Data sources and assumptions
@@ -320,6 +357,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
 5. Competitive landscape context

 **Key Points:**
+
 - Lead with bottom-up calculation (most credible)
 - Show triangulation with top-down
 - Explain conservative assumptions
@@ -329,6 +367,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
 ### For Strategy

 **Structure:**
+
 1. Addressable customer segments
 2. Prioritization by opportunity size
 3. Entry strategy by segment
@@ -336,6 +375,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
 5. Resource requirements

 **Key Points:**
+
 - Focus on SAM and SOM
 - Show segment-level detail
 - Connect to go-to-market plan
@@ -345,26 +385,31 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
 ## Common Mistakes to Avoid

 **Mistake 1: Confusing TAM with SAM**
+
 - Don't claim entire market as addressable
 - Apply realistic product/geographic constraints
 - Be honest about serviceable market

 **Mistake 2: Overly Aggressive SOM**
+
 - New entrants rarely capture > 5% in 5 years
 - Account for competition and resources
 - Show realistic ramp timeline

 **Mistake 3: Using Only Top-Down**
+
 - Investors prefer bottom-up validation
 - Top-down alone lacks credibility
 - Always triangulate with multiple methods

 **Mistake 4: Cherry-Picking Data**
+
 - Use consistent, recent data sources
 - Don't mix methodologies inappropriately
 - Document all assumptions clearly

 **Mistake 5: Ignoring Market Dynamics**
+
 - Account for market growth/decline
 - Consider competitive intensity
 - Factor in switching costs and barriers
@@ -374,6 +419,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
 ### Reference Files

 For detailed methodologies and frameworks:
+
 - **`references/methodology-deep-dive.md`** - Comprehensive guide to each methodology with step-by-step worksheets
 - **`references/data-sources.md`** - Curated list of market research sources, databases, and tools
 - **`references/industry-templates.md`** - Specific templates for SaaS, marketplace, consumer, B2B, and fintech markets
@@ -381,6 +427,7 @@ For detailed methodologies and frameworks:
 ### Example Files

 Working examples with complete calculations:
+
 - **`examples/saas-market-sizing.md`** - Complete TAM/SAM/SOM for a B2B SaaS product
 - **`examples/marketplace-sizing.md`** - Marketplace platform market opportunity calculation
 - **`examples/value-theory-example.md`** - Value-based market sizing for disruptive innovation
--- a/plugins/startup-business-analyst/skills/market-sizing-analysis/examples/saas-market-sizing.md
+++ b/plugins/startup-business-analyst/skills/market-sizing-analysis/examples/saas-market-sizing.md
@@ -15,6 +15,7 @@ Complete TAM/SAM/SOM calculation for a B2B SaaS startup using bottom-up and top-
 ### Step 1: Define Target Customer Segments

 **Segment Criteria:**
+
 - E-commerce companies (D2C and marketplace sellers)
 - $1M+ in annual revenue
 - North America based
@@ -22,13 +23,14 @@ Complete TAM/SAM/SOM calculation for a B2B SaaS startup using bottom-up and top-

 **Segment Breakdown:**

-| Segment | Annual Revenue | Count | ACV | Priority |
-|---------|---------------|-------|-----|----------|
-| Small E-commerce | $1M-$5M | 85,000 | $3,600 | High |
-| Mid-Market E-commerce | $5M-$50M | 18,000 | $9,600 | High |
-| Enterprise E-commerce | $50M+ | 2,500 | $24,000 | Medium |
+| Segment               | Annual Revenue | Count  | ACV     | Priority |
+| --------------------- | -------------- | ------ | ------- | -------- |
+| Small E-commerce      | $1M-$5M        | 85,000 | $3,600  | High     |
+| Mid-Market E-commerce | $5M-$50M       | 18,000 | $9,600  | High     |
+| Enterprise E-commerce | $50M+          | 2,500  | $24,000 | Medium   |

 **Data Sources:**
+
 - U.S. Census Bureau: E-commerce business counts
 - Shopify, BigCommerce, WooCommerce: Published merchant counts
 - Statista: E-commerce market statistics
@@ -37,11 +39,13 @@ Complete TAM/SAM/SOM calculation for a B2B SaaS startup using bottom-up and top-
 ### Step 2: Calculate TAM (Total Addressable Market)

 **Formula:**
+
 ```
 TAM = Σ (Segment Count × Annual Contract Value)
 ```

 **Calculation:**
+
 ```
 Small E-commerce:   85,000 × $3,600  = $306M
 Mid-Market:         18,000 × $9,600  = $173M
@@ -51,6 +55,7 @@ TAM (North America):                  $539M
 ```

 **Global Expansion Multiplier:**
+
 - North America = 35% of global e-commerce market
 - Global TAM = $539M / 0.35 = $1.54B

@@ -80,6 +85,7 @@ TAM (North America):                  $539M
 **SAM = $169M**

 **SAM Breakdown by Segment:**
+
 ```
 Small E-commerce:   $306M × 0.45 × 0.70 = $96M (57%)
 Mid-Market:         $173M × 0.45 × 0.70 = $54M (32%)
@@ -91,22 +97,26 @@ Enterprise:         $60M × 0.45 × 0.70  = $19M (11%)
 **Market Share Assumptions:**

 **Year 3 Target: 2.5% of SAM**
+
 - Typical new entrant market share
 - Requires strong product-market fit
 - Assumes $10M in funding for GTM

 **Year 5 Target: 5% of SAM**
+
 - Achievable with scale and brand
 - Requires effective sales and marketing
 - Assumes additional funding for growth

 **Calculation:**
+
 ```
 SOM (Year 3) = $169M × 2.5% = $4.2M ARR
 SOM (Year 5) = $169M × 5.0% = $8.5M ARR
 ```

 **SOM by Segment (Year 5):**
+
 ```
 Small E-commerce:   $96M × 5% = $4.8M ARR (565 customers)
 Mid-Market:         $54M × 5% = $2.7M ARR (281 customers)
@@ -117,12 +127,12 @@ Total:                          $8.5M ARR (888 customers)

 ### Bottom-Up Summary

-| Metric | North America | Notes |
-|--------|---------------|-------|
-| **TAM** | $539M | All e-commerce $1M+ revenue |
-| **SAM** | $169M | AI-ready, addressable switching market |
-| **SOM (Year 3)** | $4.2M | 2.5% market share, 495 customers |
-| **SOM (Year 5)** | $8.5M | 5% market share, 888 customers |
+| Metric           | North America | Notes                                  |
+| ---------------- | ------------- | -------------------------------------- |
+| **TAM**          | $539M         | All e-commerce $1M+ revenue            |
+| **SAM**          | $169M         | AI-ready, addressable switching market |
+| **SOM (Year 3)** | $4.2M         | 2.5% market share, 495 customers       |
+| **SOM (Year 5)** | $8.5M         | 5% market share, 888 customers         |

 ## Methodology 2: Top-Down Analysis (Validation)

@@ -132,6 +142,7 @@ Total:                          $8.5M ARR (888 customers)
 **Source:** Gartner Market Share Report (2024)

 **Global Email Marketing Software Market:**
+
 - Market Size: $7.5B (2024)
 - Growth Rate: 12% CAGR
 - Geography: Worldwide
@@ -141,42 +152,47 @@ Total:                          $8.5M ARR (888 customers)
 ### Step 2: Apply Geographic Filter

 **North America Market Share:**
+
 - North America = 40% of global software spending
 - Email Marketing NA = $7.5B × 0.40 = $3.0B

 ### Step 3: Apply Segment Filters

 **E-Commerce Focus:**
+
 - E-commerce email marketing = 25% of total email marketing
 - E-commerce segment = $3.0B × 0.25 = $750M

 **$1M+ Revenue Filter:**
+
 - Companies with $1M+ revenue = 65% of e-commerce market
 - TAM = $750M × 0.65 = $488M

 **AI-Powered Subset:**
+
 - AI-powered email marketing = 35% of market (growing rapidly)
 - SAM = $488M × 0.35 = $171M

 ### Top-Down Summary

-| Metric | Amount | Calculation |
-|--------|--------|-------------|
-| **TAM** | $488M | NA e-commerce email marketing $1M+ |
-| **SAM** | $171M | AI-powered subset |
+| Metric  | Amount | Calculation                        |
+| ------- | ------ | ---------------------------------- |
+| **TAM** | $488M  | NA e-commerce email marketing $1M+ |
+| **SAM** | $171M  | AI-powered subset                  |

 ## Triangulation and Validation

 ### Comparing Methodologies

-| Metric | Bottom-Up | Top-Down | Variance |
-|--------|-----------|----------|----------|
-| **TAM** | $539M | $488M | +10% |
-| **SAM** | $169M | $171M | -1% |
+| Metric  | Bottom-Up | Top-Down | Variance |
+| ------- | --------- | -------- | -------- |
+| **TAM** | $539M     | $488M    | +10%     |
+| **SAM** | $169M     | $171M    | -1%      |

 **Validation Result:** ✅ Excellent alignment (< 2% variance on SAM)

 **Why alignment matters:**
+
 - Bottom-up and top-down within 10% gives high confidence
 - SAM alignment of 1% is exceptional
 - Use bottom-up as primary (more granular)
@@ -185,12 +201,14 @@ Total:                          $8.5M ARR (888 customers)
 ### Public Company Validation

 **Klaviyo (Public, KVYO):**
+
 - 2024 Revenue: ~$700M
 - Focus: E-commerce email/SMS marketing
 - Market Share: ~46% of our SAM
 - Validates large e-commerce email market exists

 **Mailchimp (Intuit-owned):**
+
 - 2024 Revenue: ~$800M (estimated)
 - Broader focus, includes SMBs
 - Significant e-commerce customer base
@@ -219,25 +237,28 @@ Total:                          $8.5M ARR (888 customers)
 ### Market Growth Assumptions

 **Email Marketing Market CAGR: 12%**
+
 - Source: Gartner market forecast
 - Drivers: E-commerce growth, marketing automation adoption

 **AI Subset Growth: 25% CAGR**
+
 - Higher than overall market
 - AI adoption accelerating in marketing
 - More companies seeking AI-powered tools

 ### SAM Evolution (5-Year Forecast)

-| Year | SAM | Growth | Notes |
-|------|-----|--------|-------|
-| 2026 | $169M | - | Starting point |
-| 2027 | $211M | +25% | AI adoption accelerating |
-| 2028 | $264M | +25% | Mainstream adoption begins |
-| 2029 | $330M | +25% | AI becomes table stakes |
-| 2030 | $413M | +25% | Market maturity |
+| Year | SAM   | Growth | Notes                      |
+| ---- | ----- | ------ | -------------------------- |
+| 2026 | $169M | -      | Starting point             |
+| 2027 | $211M | +25%   | AI adoption accelerating   |
+| 2028 | $264M | +25%   | Mainstream adoption begins |
+| 2029 | $330M | +25%   | AI becomes table stakes    |
+| 2030 | $413M | +25%   | Market maturity            |

 **Growing SAM Impact:**
+
 - Year 5 SOM of 5% applied to $413M SAM = $20.6M potential
 - Provides headroom for growth
 - Supports expansion beyond initial 5% share
@@ -247,17 +268,20 @@ Total:                          $8.5M ARR (888 customers)
 ### Market Share Distribution

 **Current Leaders:**
+
 - Klaviyo: ~46% share
 - Mailchimp: ~35% share
 - Others: ~19% share (fragmented)

 **Market Dynamics:**
+
 - Two dominant players
 - Long tail of smaller competitors
 - Opportunity in AI-differentiated positioning
 - Typical SaaS market consolidation pattern

 **Implications for SOM:**
+
 - 5% share requires strong differentiation
 - AI capabilities could drive 10-15% share long-term
 - Acquisition potential if unable to reach scale
@@ -324,22 +348,26 @@ Demonstrates large, proven market
 ## Key Takeaways

 **Market Sizing Results:**
+
 - TAM: $1.5B globally, $539M North America
 - SAM: $169M (North America, AI-ready customers)
 - SOM: $4.2M (Year 3), $8.5M (Year 5)

 **Methodology:**
+
 - Bottom-up primary (most granular and credible)
 - Top-down validation (<2% variance on SAM)
 - Public company validation (Klaviyo, Mailchimp)

 **Investment Implications:**
+
 - Market supports venture-scale outcome
 - 5% market share achievable with strong execution
 - Growing market (25% CAGR) provides tailwinds
 - Competitive but differentiated positioning possible

 **Next Steps:**
+
 1. Validate pricing assumptions with customer research
 2. Refine segment prioritization based on GTM capacity
 3. Update SAM annually as market evolves
--- a/plugins/startup-business-analyst/skills/market-sizing-analysis/references/data-sources.md
+++ b/plugins/startup-business-analyst/skills/market-sizing-analysis/references/data-sources.md
@@ -7,24 +7,28 @@ Curated list of credible sources for market research and sizing analysis.
 ### Premium Research Firms

 **Gartner** (https://www.gartner.com)
+
 - Technology market forecasts and sizing
 - Magic Quadrants for competitive positioning
 - Typical cost: $5K-$50K per report
 - Best for: Enterprise software, IT services, emerging tech

 **Forrester** (https://www.forrester.com)
+
 - Business technology and digital transformation
 - Wave evaluations for vendor comparison
 - Typical cost: $3K-$30K per report
 - Best for: Marketing tech, customer experience, B2B

 **IDC** (https://www.idc.com)
+
 - IT market intelligence and sizing
 - Detailed segment breakdowns
 - Typical cost: $4K-$40K per report
 - Best for: Hardware, software, IT services

 **McKinsey** (https://www.mckinsey.com/featured-insights)
+
 - Free insights and reports
 - Strategic industry analysis
 - Best for: Industry trends, macroeconomic context
@@ -32,21 +36,25 @@ Curated list of credible sources for market research and sizing analysis.
 ### Accessible Research

 **Statista** (https://www.statista.com)
+
 - Cost: $39/month individual, $199/month business
 - Coverage: 80,000+ topics across industries
 - Best for: Quick market size estimates, charts, trends

 **CB Insights** (https://www.cbinsights.com)
+
 - Cost: Custom pricing (typically $10K+/year)
 - Coverage: Venture capital, startup markets
 - Best for: Emerging markets, competitive intelligence

 **PitchBook** (https://pitchbook.com)
+
 - Cost: Institutional pricing
 - Coverage: Private company valuations, M&A, VC
 - Best for: Startup valuations, funding trends

 **Grand View Research** (https://www.grandviewresearch.com)
+
 - Cost: $2K-$5K per report
 - Coverage: B2C and emerging markets
 - Best for: Consumer markets, healthcare, cleantech
@@ -56,21 +64,25 @@ Curated list of credible sources for market research and sizing analysis.
 ### U.S. Government Sources

 **U.S. Census Bureau** (https://www.census.gov)
+
 - Free, authoritative demographic data
 - Economic census every 5 years
 - Best for: Business counts, demographics, spending

 **Bureau of Labor Statistics** (https://www.bls.gov)
+
 - Free employment and economic data
 - Industry-specific statistics
 - Best for: Employment trends, wages, productivity

 **SEC EDGAR** (https://www.sec.gov/edgar)
+
 - Free public company filings
 - 10-K, 10-Q reports with segment revenue
 - Best for: Validating market size with public company data

 **Data.gov** (https://www.data.gov)
+
 - Free government datasets
 - Aggregates across agencies
 - Best for: Specialized industry data
@@ -78,14 +90,17 @@ Curated list of credible sources for market research and sizing analysis.
 ### International Sources

 **OECD** (https://data.oecd.org)
+
 - Free international economic data
 - Best for: Cross-country comparisons

 **World Bank** (https://data.worldbank.org)
+
 - Free global development data
 - Best for: Emerging markets, macro trends

 **Eurostat** (https://ec.europa.eu/eurostat)
+
 - Free European Union statistics
 - Best for: European market sizing

@@ -94,22 +109,27 @@ Curated list of credible sources for market research and sizing analysis.
 Industry associations often publish market research:

 **Software & SaaS**
+
 - Software & Information Industry Association (SIIA)
 - Cloud Security Alliance (CSA)

 **E-commerce & Retail**
+
 - National Retail Federation (NRF)
 - Digital Commerce 360

 **Financial Services**
+
 - American Bankers Association (ABA)
 - Financial Technology Association (FTA)

 **Healthcare**
+
 - Healthcare Information and Management Systems Society (HIMSS)
 - American Hospital Association (AHA)

 **Manufacturing**
+
 - National Association of Manufacturers (NAM)
 - Industrial Internet Consortium (IIC)

@@ -118,21 +138,25 @@ Industry associations often publish market research:
 ### B2B Databases

 **LinkedIn Sales Navigator** ($99/month)
+
 - Company and employee counts
 - Industry filters
 - Best for: B2B customer counting

 **ZoomInfo** (Custom pricing)
+
 - Company databases with firmographics
 - Contact data
 - Best for: B2B TAM calculations

 **Crunchbase** ($29-$99/month)
+
 - Startup company data
 - Funding and employee information
 - Best for: Tech startup markets

 **BuiltWith** ($295-$995/month)
+
 - Technology usage data
 - Website analytics
 - Best for: Technology adoption sizing
@@ -140,14 +164,17 @@ Industry associations often publish market research:
 ### Consumer Data

 **Euromonitor** (Custom pricing)
+
 - Consumer market research
 - Best for: B2C product markets

 **Nielsen** (Custom pricing)
+
 - Consumer behavior and media
 - Best for: CPG, retail, media markets

 **Mintel** (Custom pricing)
+
 - Consumer trends and insights
 - Best for: B2C products and services

@@ -156,11 +183,13 @@ Industry associations often publish market research:
 ### Market Research Aggregators

 **Research and Markets** (https://www.researchandmarkets.com)
+
 - Aggregates reports from 100+ publishers
 - $500-$10K per report
 - Search across all major research firms

 **MarketsandMarkets** (https://www.marketsandmarkets.com)
+
 - Custom and syndicated research
 - $4K-$10K per report
 - Good for niche B2B markets
@@ -168,14 +197,17 @@ Industry associations often publish market research:
 ### Free Search Tools

 **Google Scholar** (https://scholar.google.com)
+
 - Free academic research
 - Best for: Emerging technologies, academic validation

 **SSRN** (https://www.ssrn.com)
+
 - Free working papers
 - Best for: Financial services, economics

 **arXiv** (https://arxiv.org)
+
 - Free preprints in CS, physics, etc.
 - Best for: AI/ML, scientific markets

@@ -184,28 +216,34 @@ Industry associations often publish market research:
 ### Public Company Analysis

 **Yahoo Finance** (Free)
+
 - Public company financials
 - Segment revenue from earnings

 **Seeking Alpha** (Free + Premium)
+
 - Earnings transcripts
 - Analyst estimates

 **Public company investor relations**
+
 - Annual reports (10-K)
 - Investor presentations

 ### Private Company Intelligence

 **PrivCo** (Custom pricing)
+
 - Private company financials
 - M&A transaction data

 **Owler** (Free + Premium)
+
 - Company profiles and news
 - Revenue estimates

 **SimilarWeb** (Free + Premium)
+
 - Website traffic analytics
 - Best for: Online business sizing

@@ -214,28 +252,34 @@ Industry associations often publish market research:
 ### Survey Tools

 **SurveyMonkey** ($25-$75/month)
+
 - DIY surveys
 - Best for: Customer willingness to pay

 **Typeform** ($25-$83/month)
+
 - Conversational surveys
 - Best for: User research

 **Qualtrics** (Enterprise pricing)
+
 - Professional research platform
 - Best for: Large-scale studies

 ### Panel Providers

 **Respondent.io** ($100-$200 per response)
+
 - Recruit professionals for interviews
 - Best for: B2B customer research

 **UserTesting** ($49 per participant)
+
 - User research and testing
 - Best for: Product validation

 **Google Surveys** ($0.10-$3.50 per response)
+
 - Quick consumer surveys
 - Best for: Basic consumer insights

@@ -244,26 +288,31 @@ Industry associations often publish market research:
 When evaluating sources:

 **Authority**
+
 - [ ] Who published the research?
 - [ ] What's their reputation?
 - [ ] Do they have industry expertise?

 **Methodology**
+
 - [ ] How was data collected?
 - [ ] What's the sample size?
 - [ ] When was research conducted?

 **Recency**
+
 - [ ] Is data current (< 2 years old)?
 - [ ] Has market changed significantly?
 - [ ] Are growth rates still applicable?

 **Consistency**
+
 - [ ] Do multiple sources agree?
 - [ ] Are definitions consistent?
 - [ ] Do numbers triangulate?

 **Relevance**
+
 - [ ] Does it match your market definition?
 - [ ] Is geography appropriate?
 - [ ] Are segments aligned?
@@ -271,18 +320,21 @@ When evaluating sources:
 ## Free vs. Paid Strategy

 **Start with free sources:**
+
 1. Government data for customer counts
 2. Public company filings for segment revenue
 3. Trade associations for industry trends
 4. Google Scholar for academic research

 **Upgrade to paid when:**
+
 - Raising institutional funding (investors expect premium sources)
 - Need detailed segment breakdowns
 - Market is niche or emerging
 - Free sources are outdated or insufficient

 **Cost-effective approach:**
+
 - Buy 1-2 key reports that cover your core market
 - Use free sources for triangulation
 - Supplement with primary research (customer interviews)
@@ -293,6 +345,7 @@ When evaluating sources:
 Always cite sources in market sizing:

 **Format:**
+
 ```
 Market Size: $X.XB
 Source: [Publisher], [Report Name], [Date]
@@ -300,6 +353,7 @@ URL: [link if available]
 ```

 **Example:**
+
 ```
 Email Marketing Software TAM: $7.5B (2024)
 Source: Gartner, "Market Share: Email Marketing Software, Worldwide, 2024"
@@ -307,6 +361,7 @@ Note: Includes all email marketing software revenue globally
 ```

 **Include:**
+
 - Publisher and report name
 - Publication date
 - Geography and scope
@@ -316,26 +371,31 @@ Note: Includes all email marketing software revenue globally
 ## Keeping Research Current

 **Set Google Alerts**
+
 - Industry keywords
 - Company names
 - Market terms

 **Follow Research Firms**
+
 - Twitter accounts
 - LinkedIn updates
 - Free newsletter summaries

 **Track Public Companies**
+
 - Earnings calendars
 - Investor relations pages
 - Annual reports

 **Join Industry Groups**
+
 - LinkedIn groups
 - Slack communities
 - Trade associations

 **Review Annually**
+
 - Update market size with new data
 - Adjust growth assumptions
 - Revisit methodology if market changed
@@ -352,6 +412,7 @@ Note: Includes all email marketing software revenue globally
 6. **Triangulate** (15 min) - Compare sources

 **Document everything:**
+
 - Write down all sources
 - Note all assumptions
 - Show your methodology
--- a/plugins/startup-business-analyst/skills/startup-financial-modeling/SKILL.md
+++ b/plugins/startup-business-analyst/skills/startup-financial-modeling/SKILL.md
@@ -20,12 +20,14 @@ Financial modeling provides the quantitative foundation for startup strategy, fu
 Build revenue from customer acquisition and retention by cohort.

 **Formula:**
+
 ```
 MRR = Σ (Cohort Size × Retention Rate × ARPU)
 ARR = MRR × 12
 ```

 **Key Inputs:**
+
 - Monthly new customer acquisitions
 - Customer retention rates by month
 - Average revenue per user (ARPU)
@@ -63,6 +65,7 @@ ARR = MRR × 12
 ### Cash Flow Analysis

 **Components:**
+
 - Beginning cash balance
 - Cash inflows (revenue, fundraising)
 - Cash outflows (operating expenses, CapEx)
@@ -71,6 +74,7 @@ ARR = MRR × 12
 - Runway (months of cash remaining)

 **Formula:**
+
 ```
 Runway = Current Cash Balance / Monthly Burn Rate
 Monthly Burn = Monthly Revenue - Monthly Expenses
@@ -82,11 +86,13 @@ Monthly Burn = Monthly Revenue - Monthly Expenses
 Track headcount by department and role.

 **Key Metrics:**
+
 - Fully-loaded cost per employee
 - Revenue per employee
 - Headcount by department (% of total)

 **Typical Ratios (Early-Stage SaaS):**
+
 - Engineering: 40-50%
 - Sales & Marketing: 25-35%
 - G&A: 10-15%
@@ -97,6 +103,7 @@ Track headcount by department and role.
 ### Three-Scenario Framework

 **Conservative Scenario (P10):**
+
 - Slower customer acquisition
 - Lower pricing or conversion
 - Higher churn rates
@@ -104,12 +111,14 @@ Track headcount by department and role.
 - Used for cash management

 **Base Scenario (P50):**
+
 - Most likely outcomes
 - Realistic assumptions
 - Primary planning scenario
 - Used for board reporting

 **Optimistic Scenario (P90):**
+
 - Faster growth
 - Better unit economics
 - Lower churn
@@ -118,11 +127,13 @@ Track headcount by department and role.
 ### Time Horizon

 **Detailed Projections: 3 Years**
+
 - Monthly detail for Year 1
 - Monthly detail for Year 2
 - Quarterly detail for Year 3

 **High-Level Projections: Years 4-5**
+
 - Annual projections
 - Key metrics only
 - Support long-term planning
@@ -134,18 +145,21 @@ Track headcount by department and role.
 Clarify revenue model and pricing.

 **SaaS Model:**
+
 - Subscription pricing tiers
 - Annual vs. monthly contracts
 - Free trial or freemium approach
 - Expansion revenue strategy

 **Marketplace Model:**
+
 - GMV projections
 - Take rate (% of transactions)
 - Buyer and seller economics
 - Transaction frequency

 **Transactional Model:**
+
 - Transaction volume
 - Revenue per transaction
 - Frequency and seasonality
@@ -161,6 +175,7 @@ Define new customers acquired each month.
 Model customer retention over time.

 **Typical SaaS Retention:**
+
 - Month 1: 100%
 - Month 3: 90%
 - Month 6: 85%
@@ -175,10 +190,12 @@ For each cohort, calculate retained customers × ARPU for each month.
 Break down costs by category and behavior.

 **Fixed vs. Variable:**
+
 - Fixed: Salaries, software, rent
 - Variable: Hosting, payment processing, support

 **Scaling Assumptions:**
+
 - COGS as % of revenue
 - S&M as % of revenue (CAC payback)
 - R&D growth rate
@@ -189,12 +206,14 @@ Break down costs by category and behavior.
 Model headcount growth by role and department.

 **Inputs:**
+
 - Starting headcount
 - Hiring velocity by role
 - Fully-loaded compensation by role
 - Benefits and taxes (typically 1.3-1.4x salary)

 **Example:**
+
 ```
 Engineer: $150K salary × 1.35 = $202K fully-loaded
 Sales Rep: $100K OTE × 1.30 = $130K fully-loaded
@@ -205,6 +224,7 @@ Sales Rep: $100K OTE × 1.30 = $130K fully-loaded
 Calculate monthly cash position and runway.

 **Monthly Cash Flow:**
+
 ```
 Beginning Cash
 + Revenue Collected (consider payment terms)
@@ -214,6 +234,7 @@ Beginning Cash
 ```

 **Runway Calculation:**
+
 ```
 If Ending Cash < 0:
  Funding Need = Negative Cash Balance
@@ -227,22 +248,26 @@ Else:
 Track metrics that matter for stage.

 **Revenue Metrics:**
+
 - MRR / ARR
 - Growth rate (MoM, YoY)
 - Revenue by segment or cohort

 **Unit Economics:**
+
 - CAC (Customer Acquisition Cost)
 - LTV (Lifetime Value)
 - CAC Payback Period
 - LTV / CAC Ratio

 **Efficiency Metrics:**
+
 - Burn multiple (Net Burn / Net New ARR)
 - Magic number (Net New ARR / S&M Spend)
 - Rule of 40 (Growth % + Profit Margin %)

 **Cash Metrics:**
+
 - Monthly burn rate
 - Runway (months)
 - Cash efficiency
@@ -252,12 +277,14 @@ Track metrics that matter for stage.
 Create three scenarios with different assumptions.

 **Variable Assumptions:**
+
 - Customer acquisition rate (±30%)
 - Churn rate (±20%)
 - Average contract value (±15%)
 - CAC (±25%)

 **Fixed Assumptions:**
+
 - Pricing structure
 - Core operating expenses
 - Hiring plan (adjust timing, not roles)
@@ -267,18 +294,21 @@ Create three scenarios with different assumptions.
 ### SaaS Financial Model

 **Revenue Drivers:**
+
 - New MRR (customers × ARPU)
 - Expansion MRR (upsells)
 - Contraction MRR (downgrades)
 - Churned MRR (lost customers)

 **Key Ratios:**
+
 - Gross margin: 75-85%
 - S&M as % revenue: 40-60% (early stage)
 - CAC payback: < 12 months
 - Net retention: 100-120%

 **Example Projection:**
+
 ```
 Year 1: $500K ARR, 50 customers, $100K MRR by Dec
 Year 2: $2.5M ARR, 200 customers, $208K MRR by Dec
@@ -288,16 +318,19 @@ Year 3: $8M ARR, 600 customers, $667K MRR by Dec
 ### Marketplace Financial Model

 **Revenue Drivers:**
+
 - GMV (Gross Merchandise Value)
 - Take rate (% of GMV)
 - Net revenue = GMV × Take rate

 **Key Ratios:**
+
 - Take rate: 10-30% depending on category
 - CAC for buyers vs. sellers
 - Contribution margin: 60-70%

 **Example Projection:**
+
 ```
 Year 1: $5M GMV, 15% take rate = $750K revenue
 Year 2: $20M GMV, 15% take rate = $3M revenue
@@ -307,12 +340,14 @@ Year 3: $60M GMV, 15% take rate = $9M revenue
 ### E-Commerce Financial Model

 **Revenue Drivers:**
+
 - Traffic (visitors)
 - Conversion rate
 - Average order value (AOV)
 - Purchase frequency

 **Key Ratios:**
+
 - Gross margin: 40-60%
 - Contribution margin: 20-35%
 - CAC payback: 3-6 months
@@ -320,12 +355,14 @@ Year 3: $60M GMV, 15% take rate = $9M revenue
 ### Services / Agency Financial Model

 **Revenue Drivers:**
+
 - Billable hours or projects
 - Hourly rate or project fee
 - Utilization rate
 - Team capacity

 **Key Ratios:**
+
 - Gross margin: 50-70%
 - Utilization: 70-85%
 - Revenue per employee
@@ -338,6 +375,7 @@ Year 3: $60M GMV, 15% take rate = $9M revenue
 Based on metrics and comparables.

 **Dilution:**
+
 ```
 Post-Money = Pre-Money + Investment
 Dilution % = Investment / Post-Money
@@ -347,6 +385,7 @@ Dilution % = Investment / Post-Money
 Allocate funding to extend runway and achieve milestones.

 **Example:**
+
 ```
 Raise: $5M at $20M pre-money
 Post-Money: $25M
@@ -362,6 +401,7 @@ Use of Funds:
 ### Milestone-Based Planning

 **Identify Key Milestones:**
+
 - Product launch
 - First $1M ARR
 - Break-even on CAC
@@ -373,26 +413,31 @@ Ensure runway to achieve next milestone + 6 months buffer.
 ## Common Pitfalls

 **Pitfall 1: Overly Optimistic Revenue**
+
 - New startups rarely hit aggressive projections
 - Use conservative customer acquisition assumptions
 - Model realistic churn rates

 **Pitfall 2: Underestimating Costs**
+
 - Add 20% buffer to expense estimates
 - Include fully-loaded compensation
 - Account for software and tools

 **Pitfall 3: Ignoring Cash Flow Timing**
+
 - Revenue ≠ cash (payment terms)
 - Expenses paid before revenue collected
 - Model cash conversion carefully

 **Pitfall 4: Static Headcount**
+
 - Hiring takes time (3-6 months to fill roles)
 - Ramp time for productivity (3-6 months)
 - Account for attrition (10-15% annually)

 **Pitfall 5: Not Scenario Planning**
+
 - Single scenario is never accurate
 - Always model conservative case
 - Plan for what you'll do if base case fails
@@ -400,6 +445,7 @@ Ensure runway to achieve next milestone + 6 months buffer.
 ## Model Validation

 **Sanity Checks:**
+
 - [ ] Revenue growth rate is achievable (3x in Year 2, 2x in Year 3)
 - [ ] Unit economics are realistic (LTV/CAC > 3, payback < 18 months)
 - [ ] Burn multiple is reasonable (< 2.0 in Year 2-3)
@@ -418,6 +464,7 @@ Share model with advisors or investors for feedback on assumptions.
 ### Reference Files

 For detailed model structures and advanced techniques:
+
 - **`references/model-templates.md`** - Complete financial model templates by business model
 - **`references/unit-economics.md`** - Deep dive on CAC, LTV, payback, and efficiency metrics
 - **`references/fundraising-scenarios.md`** - Modeling funding rounds and dilution
@@ -425,6 +472,7 @@ For detailed model structures and advanced techniques:
 ### Example Files

 Working financial models with formulas:
+
 - **`examples/saas-financial-model.md`** - Complete 3-year SaaS model with cohort analysis
 - **`examples/marketplace-model.md`** - Marketplace GMV and take rate projections
 - **`examples/scenario-analysis.md`** - Three-scenario framework with sensitivities
--- a/plugins/startup-business-analyst/skills/startup-metrics-framework/SKILL.md
+++ b/plugins/startup-business-analyst/skills/startup-metrics-framework/SKILL.md
@@ -17,22 +17,26 @@ Track the right metrics at the right stage. Focus on unit economics, growth effi
 ### Revenue Metrics

 **MRR (Monthly Recurring Revenue)**
+
 ```
 MRR = Σ (Active Subscriptions × Monthly Price)
 ```

 **ARR (Annual Recurring Revenue)**
+
 ```
 ARR = MRR × 12
 ```

 **Growth Rate**
+
 ```
 MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR
 YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR
 ```

 **Target Benchmarks:**
+
 - Seed stage: 15-20% MoM growth
 - Series A: 10-15% MoM growth, 3-5x YoY
 - Series B+: 100%+ YoY (Rule of 40)
@@ -40,6 +44,7 @@ YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR
 ### Unit Economics

 **CAC (Customer Acquisition Cost)**
+
 ```
 CAC = Total S&M Spend / New Customers Acquired
 ```
@@ -47,31 +52,37 @@ CAC = Total S&M Spend / New Customers Acquired
 Include: Sales salaries, marketing spend, tools, overhead

 **LTV (Lifetime Value)**
+
 ```
 LTV = ARPU × Gross Margin% × (1 / Churn Rate)
 ```

 Simplified:
+
 ```
 LTV = ARPU × Average Customer Lifetime × Gross Margin%
 ```

 **LTV:CAC Ratio**
+
 ```
 LTV:CAC = LTV / CAC
 ```

 **Benchmarks:**
+
 - LTV:CAC > 3.0 = Healthy
 - LTV:CAC 1.0-3.0 = Needs improvement
 - LTV:CAC < 1.0 = Unsustainable

 **CAC Payback Period**
+
 ```
 CAC Payback = CAC / (ARPU × Gross Margin%)
 ```

 **Benchmarks:**
+
 - < 12 months = Excellent
 - 12-18 months = Good
 - > 24 months = Concerning
@@ -79,6 +90,7 @@ CAC Payback = CAC / (ARPU × Gross Margin%)
 ### Cash Efficiency Metrics

 **Burn Rate**
+
 ```
 Monthly Burn = Monthly Revenue - Monthly Expenses
 ```
@@ -86,6 +98,7 @@ Monthly Burn = Monthly Revenue - Monthly Expenses
 Negative burn = losing money (typical early-stage)

 **Runway**
+
 ```
 Runway (months) = Cash Balance / Monthly Burn Rate
 ```
@@ -93,11 +106,13 @@ Runway (months) = Cash Balance / Monthly Burn Rate
 **Target:** Always maintain 12-18 months runway

 **Burn Multiple**
+
 ```
 Burn Multiple = Net Burn / Net New ARR
 ```

 **Benchmarks:**
+
 - < 1.0 = Exceptional efficiency
 - 1.0-1.5 = Good
 - 1.5-2.0 = Acceptable
@@ -122,6 +137,7 @@ Downgrades from existing customers
 Lost customers

 **Net New MRR Formula:**
+
 ```
 Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR
 ```
@@ -129,26 +145,31 @@ Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR
 ### Retention Metrics

 **Logo Retention**
+
 ```
 Logo Retention = (Customers End - New Customers) / Customers Start
 ```

 **Dollar Retention (NDR - Net Dollar Retention)**
+
 ```
 NDR = (ARR Start + Expansion - Contraction - Churn) / ARR Start
 ```

 **Benchmarks:**
+
 - NDR > 120% = Best-in-class
 - NDR 100-120% = Good
 - NDR < 100% = Needs work

 **Gross Retention**
+
 ```
 Gross Retention = (ARR Start - Churn - Contraction) / ARR Start
 ```

 **Benchmarks:**
+
 - > 90% = Excellent
 - 85-90% = Good
 - < 85% = Concerning
@@ -156,21 +177,25 @@ Gross Retention = (ARR Start - Churn - Contraction) / ARR Start
 ### SaaS-Specific Metrics

 **Magic Number**
+
 ```
 Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)
 ```

 **Benchmarks:**
+
 - > 0.75 = Efficient, ready to scale
 - 0.5-0.75 = Moderate efficiency
 - < 0.5 = Inefficient, don't scale yet

 **Rule of 40**
+
 ```
 Rule of 40 = Revenue Growth Rate% + Profit Margin%
 ```

 **Benchmarks:**
+
 - > 40% = Excellent
 - 20-40% = Acceptable
 - < 20% = Needs improvement
@@ -179,11 +204,13 @@ Rule of 40 = Revenue Growth Rate% + Profit Margin%
 50% growth + (10%) margin = 40% ✓

 **Quick Ratio**
+
 ```
 Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
 ```

 **Benchmarks:**
+
 - > 4.0 = Healthy growth
 - 2.0-4.0 = Moderate
 - < 2.0 = Churn problem
@@ -193,11 +220,13 @@ Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
 ### GMV (Gross Merchandise Value)

 **Total Transaction Volume:**
+
 ```
 GMV = Σ (Transaction Value)
 ```

 **Growth Rate:**
+
 ```
 GMV Growth Rate = (Current Period GMV - Prior Period GMV) / Prior Period GMV
 ```
@@ -211,6 +240,7 @@ Take Rate = Net Revenue / GMV
 ```

 **Typical Ranges:**
+
 - Payment processors: 2-3%
 - E-commerce marketplaces: 10-20%
 - Service marketplaces: 15-25%
@@ -228,6 +258,7 @@ How long from listing to sale/match?
 % of users who transact multiple times

 **Benchmarks:**
+
 - Fill rate > 80% = Strong liquidity
 - Repeat rate > 60% = Strong retention

@@ -237,6 +268,7 @@ How long from listing to sale/match?
 Track relative growth of supply and demand sides.

 **Warning Signs:**
+
 - Too much supply: Low fill rates, frustrated suppliers
 - Too much demand: Long wait times, frustrated customers

@@ -253,11 +285,13 @@ Unique users active each day
 Unique users active each month

 **DAU/MAU Ratio**
+
 ```
 DAU/MAU = DAU / MAU
 ```

 **Benchmarks:**
+
 - > 50% = Exceptional (daily habit)
 - 20-50% = Good
 - < 20% = Weak engagement
@@ -275,11 +309,13 @@ Average time spent per session
 **Day 30 Retention:** % users active 30 days after signup

 **Benchmarks (Day 30):**
+
 - > 40% = Excellent
 - 25-40% = Good
 - < 25% = Weak

 **Retention Curve Shape:**
+
 - Flattening curve = good (users becoming habitual)
 - Steep decline = poor product-market fit

@@ -293,6 +329,7 @@ K-Factor = Invites per User × Invite Conversion Rate
 10 invites/user × 20% conversion = 2.0 K-factor

 **Benchmarks:**
+
 - K > 1.0 = Viral growth
 - K = 0.5-1.0 = Strong referrals
 - K < 0.5 = Weak virality
@@ -302,6 +339,7 @@ K-Factor = Invites per User × Invite Conversion Rate
 ### Sales Efficiency

 **Win Rate**
+
 ```
 Win Rate = Deals Won / Total Opportunities
 ```
@@ -312,11 +350,13 @@ Win Rate = Deals Won / Total Opportunities
 Average days from opportunity to close

 **Shorter is better:**
+
 - SMB: 30-60 days
 - Mid-market: 60-120 days
 - Enterprise: 120-270 days

 **Average Contract Value (ACV)**
+
 ```
 ACV = Total Contract Value / Contract Length (years)
 ```
@@ -324,6 +364,7 @@ ACV = Total Contract Value / Contract Length (years)
 ### Pipeline Metrics

 **Pipeline Coverage**
+
 ```
 Pipeline Coverage = Total Pipeline Value / Quota
 ```
@@ -331,6 +372,7 @@ Pipeline Coverage = Total Pipeline Value / Quota
 **Target:** 3-5x coverage (3-5x pipeline needed to hit quota)

 **Conversion Rates by Stage:**
+
 - Lead → Opportunity: 10-20%
 - Opportunity → Demo: 50-70%
 - Demo → Proposal: 30-50%
@@ -341,12 +383,14 @@ Pipeline Coverage = Total Pipeline Value / Quota
 ### Pre-Seed (Product-Market Fit)

 **Focus Metrics:**
+
 1. Active users growth
 2. User retention (Day 7, Day 30)
 3. Core engagement (sessions, features used)
 4. Qualitative feedback (NPS, interviews)

 **Don't worry about:**
+
 - Revenue (may be zero)
 - CAC (not optimizing yet)
 - Unit economics
@@ -354,18 +398,21 @@ Pipeline Coverage = Total Pipeline Value / Quota
 ### Seed ($500K-$2M ARR)

 **Focus Metrics:**
+
 1. MRR growth rate (15-20% MoM)
 2. CAC and LTV (establish baseline)
 3. Gross retention (> 85%)
 4. Core product engagement

 **Start tracking:**
+
 - Sales efficiency
 - Burn rate and runway

 ### Series A ($2M-$10M ARR)

 **Focus Metrics:**
+
 1. ARR growth (3-5x YoY)
 2. Unit economics (LTV:CAC > 3, payback < 18 months)
 3. Net dollar retention (> 100%)
@@ -373,6 +420,7 @@ Pipeline Coverage = Total Pipeline Value / Quota
 5. Magic number (> 0.5)

 **Mature tracking:**
+
 - Rule of 40
 - Sales efficiency
 - Pipeline coverage
@@ -382,12 +430,14 @@ Pipeline Coverage = Total Pipeline Value / Quota
 ### Data Infrastructure

 **Requirements:**
+
 - Single source of truth (analytics platform)
 - Real-time or daily updates
 - Automated calculations
 - Historical tracking

 **Tools:**
+
 - Mixpanel, Amplitude (product analytics)
 - ChartMogul, Baremetrics (SaaS metrics)
 - Looker, Tableau (BI dashboards)
@@ -395,20 +445,24 @@ Pipeline Coverage = Total Pipeline Value / Quota
 ### Reporting Cadence

 **Daily:**
+
 - MRR, active users
 - Sign-ups, conversions

 **Weekly:**
+
 - Growth rates
 - Retention cohorts
 - Sales pipeline

 **Monthly:**
+
 - Full metric suite
 - Board reporting
 - Investor updates

 **Quarterly:**
+
 - Trend analysis
 - Benchmarking
 - Strategy review
@@ -417,6 +471,7 @@ Pipeline Coverage = Total Pipeline Value / Quota

 **Mistake 1: Vanity Metrics**
 Don't focus on:
+
 - Total users (without retention)
 - Page views (without engagement)
 - Downloads (without activation)
@@ -440,12 +495,14 @@ Optimize for real business outcomes, not dashboard numbers.
 ### What VCs Want to See

 **Seed Round:**
+
 - MRR growth rate
 - User retention
 - Early unit economics
 - Product engagement

 **Series A:**
+
 - ARR and growth rate
 - CAC payback < 18 months
 - LTV:CAC > 3.0
@@ -453,6 +510,7 @@ Optimize for real business outcomes, not dashboard numbers.
 - Burn multiple < 2.0

 **Series B+:**
+
 - Rule of 40 > 40%
 - Efficient growth (magic number)
 - Path to profitability
@@ -461,6 +519,7 @@ Optimize for real business outcomes, not dashboard numbers.
 ### Metric Presentation

 **Dashboard Format:**
+
 ```
 Current MRR: $250K (↑ 18% MoM)
 ARR: $3.0M (↑ 280% YoY)
@@ -470,6 +529,7 @@ Burn: $180K/mo | Runway: 18 months
 ```

 **Include:**
+
 - Current value
 - Growth rate or trend
 - Context (target, benchmark)
@@ -477,11 +537,13 @@ Burn: $180K/mo | Runway: 18 months
 ## Additional Resources

 ### Reference Files
+
 - **`references/metric-definitions.md`** - Complete definitions and formulas for 50+ metrics
 - **`references/benchmarks-by-stage.md`** - Target ranges for each metric by company stage
 - **`references/calculation-examples.md`** - Step-by-step calculation examples

 ### Example Files
+
 - **`examples/saas-metrics-dashboard.md`** - Complete metrics suite for B2B SaaS company
 - **`examples/marketplace-metrics.md`** - Marketplace-specific metrics with examples
 - **`examples/investor-metrics-deck.md`** - How to present metrics for fundraising
--- a/plugins/startup-business-analyst/skills/team-composition-analysis/SKILL.md
+++ b/plugins/startup-business-analyst/skills/team-composition-analysis/SKILL.md
@@ -19,6 +19,7 @@ Build the right team at the right time with appropriate compensation and equity.
 **Team Size: 2-5 people**

 **Core Roles:**
+
 - Founders (2-3): Product, engineering, business
 - First engineer (if needed)
 - Contract roles: Design, marketing
@@ -30,6 +31,7 @@ Build the right team at the right time with appropriate compensation and equity.
 **Team Size: 5-15 people**

 **Key Hires:**
+
 - Engineering lead + 2-3 engineers
 - First sales/business development
 - Product manager
@@ -42,6 +44,7 @@ Build the right team at the right time with appropriate compensation and equity.
 **Team Size: 15-50 people**

 **Department Build-Out:**
+
 - Engineering (40%): 6-20 people
 - Sales & Marketing (30%): 5-15 people
 - Customer Success (10%): 2-5 people
@@ -55,15 +58,18 @@ Build the right team at the right time with appropriate compensation and equity.
 ### Engineering Team

 **Pre-Seed:**
+
 - Founders write code
 - 0-1 contract developers

 **Seed:**
+
 - Engineering Lead (first $150K-$180K)
 - 2-3 Full-Stack Engineers ($120K-$150K)
 - 1 Frontend or Backend Specialist ($130K-$160K)

 **Series A:**
+
 - VP Engineering ($180K-$250K + equity)
 - 2-3 Senior Engineers ($150K-$180K)
 - 3-5 Mid-Level Engineers ($120K-$150K)
@@ -73,15 +79,18 @@ Build the right team at the right time with appropriate compensation and equity.
 ### Sales & Marketing

 **Pre-Seed:**
+
 - Founders do sales
 - Contract marketing help

 **Seed:**
+
 - First Sales Hire / Head of Sales ($120K-$150K + commission)
 - Marketing/Growth Lead ($100K-$140K)
 - SDR or BDR (if B2B) ($50K-$70K + commission)

 **Series A:**
+
 - VP Sales ($150K-$200K + commission + equity)
 - 3-5 Account Executives ($80K-$120K + commission)
 - 2-3 SDRs/BDRs ($50K-$70K + commission)
@@ -91,13 +100,16 @@ Build the right team at the right time with appropriate compensation and equity.
 ### Product Team

 **Pre-Seed:**
+
 - Founder as product lead

 **Seed:**
+
 - First Product Manager ($120K-$150K)
 - Contract designer

 **Series A:**
+
 - Head of Product ($150K-$180K)
 - 1-2 Product Managers ($120K-$150K)
 - Product Designer ($100K-$140K)
@@ -106,12 +118,15 @@ Build the right team at the right time with appropriate compensation and equity.
 ### Customer Success

 **Pre-Seed:**
+
 - Founders handle support

 **Seed:**
+
 - First CS hire (optional) ($60K-$90K)

 **Series A:**
+
 - CS Manager ($100K-$130K)
 - 2-4 CS Representatives ($60K-$90K)
 - Support Engineer (technical) ($80K-$120K)
@@ -119,13 +134,16 @@ Build the right team at the right time with appropriate compensation and equity.
 ### G&A (General & Administrative)

 **Pre-Seed:**
+
 - Contractors (accounting, legal)

 **Seed:**
+
 - Operations/Office Manager ($70K-$100K)
 - Contract CFO

 **Series A:**
+
 - CFO or Finance Lead ($150K-$200K)
 - Recruiter ($80K-$120K)
 - Office Manager / EA ($60K-$90K)
@@ -135,6 +153,7 @@ Build the right team at the right time with appropriate compensation and equity.
 ### Base Salary Benchmarks (US, 2024)

 **Engineering:**
+
 - Junior: $90K-$120K
 - Mid-Level: $120K-$150K
 - Senior: $150K-$180K
@@ -143,24 +162,28 @@ Build the right team at the right time with appropriate compensation and equity.
 - VP Engineering: $180K-$250K

 **Sales:**
+
 - SDR/BDR: $50K-$70K base + $50K-$70K commission
 - Account Executive: $80K-$120K base + $80K-$120K commission
 - Sales Manager: $120K-$160K base + $80K-$120K commission
 - VP Sales: $150K-$200K base + $150K-$200K commission

 **Product:**
+
 - Product Manager: $120K-$150K
 - Senior PM: $150K-$180K
 - Head of Product: $150K-$180K
 - VP Product: $180K-$220K

 **Marketing:**
+
 - Marketing Manager: $90K-$130K
 - Content/Demand Gen: $70K-$100K
 - Head of Marketing: $130K-$170K
 - VP Marketing: $150K-$200K

 **Customer Success:**
+
 - CS Representative: $60K-$90K
 - CS Manager: $100K-$130K
 - VP Customer Success: $140K-$180K
@@ -172,6 +195,7 @@ Total Comp = Base Salary × 1.30 (benefits & taxes) + Equity Value
 ```

 **Fully-Loaded Cost:**
+
 - Base salary
 - Payroll taxes (7.65% FICA)
 - Benefits (health insurance, 401k): $10K-$15K per employee
@@ -192,22 +216,26 @@ Total Comp = Base Salary × 1.30 (benefits & taxes) + Equity Value
 ### Equity by Role and Stage

 **Founders:**
+
 - First founder: 40-60%
 - Second founder: 20-40%
 - Third founder: 10-20%
 - Vesting: 4 years with 1-year cliff

 **Early Employees (Pre-Seed):**
+
 - First engineer: 0.5-2.0%
 - First 5 employees: 0.25-1.0% each

 **Seed Stage Hires:**
+
 - VP/Head level: 0.5-1.5%
 - Senior IC: 0.1-0.5%
 - Mid-level: 0.05-0.25%
 - Junior: 0.01-0.1%

 **Series A Hires:**
+
 - C-level (CTO, CFO): 1.0-3.0%
 - VP level: 0.3-1.0%
 - Director level: 0.1-0.5%
@@ -218,6 +246,7 @@ Total Comp = Base Salary × 1.30 (benefits & taxes) + Equity Value
 ### Equity Pool Sizing

 **Option Pool by Round:**
+
 - Pre-Seed: 10-15% reserved
 - Seed: 10-15% top-up
 - Series A: 10-15% top-up
@@ -227,6 +256,7 @@ Total Comp = Base Salary × 1.30 (benefits & taxes) + Equity Value
 Investors often require option pool creation before investment, diluting founders.

 **Example:**
+
 ```
 Pre-money: $10M
 Investors want 15% option pool post-money
@@ -242,6 +272,7 @@ Founders diluted by pool creation before new money
 ### Reporting Structure

 **Pre-Seed:**
+
 ```
 Founders (flat structure)
 ├── Contractors
@@ -249,6 +280,7 @@ Founders (flat structure)
 ```

 **Seed:**
+
 ```
 CEO
 ├── Engineering Lead (2-4 engineers)
@@ -258,6 +290,7 @@ CEO
 ```

 **Series A:**
+
 ```
 CEO
 ├── CTO / VP Engineering (6-20 people)
@@ -279,6 +312,7 @@ CEO
 ### Span of Control

 **Manager Ratios:**
+
 - First-line managers: 4-8 direct reports
 - Directors: 3-5 direct reports (managers)
 - VPs: 3-5 direct reports (directors)
@@ -287,12 +321,14 @@ CEO
 ## Full-Time vs. Contract

 ### Use Full-Time for:
+
 - Core product development
 - Sales (revenue-generating roles)
 - Mission-critical operations
 - Institutional knowledge roles

 ### Use Contractors for:
+
 - Specialized short-term needs (legal, accounting)
 - Variable workload (design, marketing campaigns)
 - Skills outside core competency
@@ -302,12 +338,14 @@ CEO
 ### Cost Comparison

 **Full-Time:**
+
 - Lower hourly cost
 - Benefits and overhead
 - Long-term commitment
 - Cultural fit matters

 **Contract:**
+
 - Higher hourly rate ($75-$200/hour vs. $40-$100/hour FTE equivalent)
 - No benefits or overhead
 - Flexible engagement
@@ -318,12 +356,14 @@ CEO
 ### Realistic Timeline

 **Role Opening to Hire:**
+
 - Junior: 6-8 weeks
 - Mid-Level: 8-12 weeks
 - Senior: 12-16 weeks
 - Executive: 16-24 weeks

 **Time to Productivity:**
+
 - Junior: 4-6 months
 - Mid-Level: 2-4 months
 - Senior: 1-3 months
@@ -335,6 +375,7 @@ Always add 2-3 months buffer to hiring plans.

 **Example:**
 If need engineer by July 1:
+
 - Start recruiting: April 1 (12 weeks)
 - Productivity: September 1 (2 months ramp)

@@ -343,12 +384,14 @@ If need engineer by July 1:
 ### Compensation as % of Revenue

 **Early Stage (Seed):**
+
 - Total comp: 120-150% of revenue (burning cash to grow)
 - Engineering: 50-60%
 - Sales: 30-40%
 - Other: 20-30%

 **Growth Stage (Series A):**
+
 - Total comp: 70-100% of revenue
 - Engineering: 35-45%
 - Sales: 25-35%
@@ -369,10 +412,12 @@ Total: $1.1M
 ## Additional Resources

 ### Reference Files
+
 - **`references/compensation-benchmarks.md`** - Detailed salary data by role, level, and location
 - **`references/equity-calculator.md`** - Equity sizing formulas and dilution scenarios

 ### Example Files
+
 - **`examples/seed-stage-hiring-plan.md`** - Complete hiring plan for seed-stage SaaS company
 - **`examples/org-chart-evolution.md`** - Organizational design from 5 to 50 people