pitch-deck

name	pitch-deck
description	Use this skill when building pitch deck features - slide generation, industry-specific templates, investor psychology, deck review/critique, and presentation export. Triggers on "pitch deck", "investor presentation", "slide deck", "pitch slides", "deck review", "investor pitch".

Pitch Deck

Overview

Generate and refine investor-ready pitch decks with industry-specific templates, AI-powered content generation, investor psychology insights, and automated critique for identifying red flags and "elephant in the room" questions.

When to Use

• Generating pitch deck slides
• Building industry-specific deck templates
• Implementing deck review/critique features
• Creating smart interview wizards for deck content
• Designing deck export functionality

Deck Generation Workflow

STEP 1: TEMPLATE SELECTION
├── Industry-specific template
├── Stage-appropriate emphasis
└── Slide count recommendation

STEP 2: SMART INTERVIEW
├── 8-10 industry questions
├── Pre-filled from profile/canvas
└── AI suggestions for each answer

STEP 3: CONTENT GENERATION
├── All slides with bullets
├── Data visualization suggestions
└── Speaker notes

STEP 4: VISUAL ENHANCEMENT
├── Layout recommendations
├── Chart/graph suggestions
└── Image recommendations

STEP 5: REVIEW & REFINE
├── Critic agent analysis
├── Elephant questions identified
├── Red flags highlighted
└── Improvement suggestions

Slide Structure

#	Slide	Time	Content Focus
1	Cover	30s	Company name, one-liner, logo
2	Problem	1m	Pain point with data, who/struggle/why-now
3	Solution	1m	How you solve it, before/after
4	Market	1m	TAM/SAM/SOM with bottom-up
5	Product	2m	Demo, screenshots, key features
6	Business Model	1m	How you make money, pricing
7	Traction	1m	Growth metrics, logos, quotes
8	Competition	1m	Positioning matrix (honest!)
9	Team	1m	Founder-market fit, achievements
10	Financials	1m	18-month projection, key metrics
11	Ask	30s	Amount, use of funds breakdown
12	Appendix	-	Detailed data, backup slides

Industry-Specific Emphasis

Industry	Slide Emphasis	Unique Slides	Investor Psychology
SaaS	Traction, Retention	Net Revenue Retention	NRR >120% signals PMF
FinTech	Compliance, Trust	Regulatory Pathway	Regulatory moat matters
Healthcare	Clinical Evidence	FDA/CE Pathway	Clinical validation required
Marketplace	Liquidity, Take Rate	Supply/Demand Balance	Network effects proof
AI/ML	Data Moat, Accuracy	Technical Architecture	Defensibility beyond model
eCommerce	Unit Economics, CAC	Customer Acquisition	Before/after merchant data

Slide Templates

Problem Slide Template

interface ProblemSlide {
  headline: string;        // "X million [personas] lose $Y annually to [problem]"
  data_point: {
    stat: string;          // "$500B lost annually"
    source: string;        // "Gartner 2025"
  };
  who: string;             // "Mid-market finance teams"
  struggle: string;        // "Spend 20+ hours/week on manual reconciliation"
  why_now: string;         // "Remote work made collaboration 3x harder"
  visual: string;          // "Pain cycle diagram" | "Cost breakdown chart"
}

Traction Slide Template

interface TractionSlide {
  headline: string;        // "10x growth in 12 months"
  primary_metric: {
    value: string;         // "$500K ARR"
    growth: string;        // "10x in 12 months"
  };
  secondary_metrics: {
    name: string;          // "Customers"
    value: string;         // "50+"
  }[];
  logos: string[];         // Customer logos (4-6)
  quote: {
    text: string;
    attribution: string;
  };
  chart: 'hockey_stick' | 'bar_growth' | 'cohort';
}

Team Slide Template

interface TeamSlide {
  founders: {
    name: string;
    role: string;
    achievement: string;   // "Built X at Y" > "VP at Z"
    photo_url: string;
  }[];
  key_hires: string[];     // "Hiring: CTO (ex-Google), Head of Sales"
  advisors: string[];      // Notable advisors
  founder_market_fit: string; // Why this team for this problem
}

Critic Agent

interface DeckCritique {
  overall_score: number;   // 0-100
  strengths: string[];
  weaknesses: string[];
  red_flags: RedFlag[];
  elephant_questions: string[];
  improvement_suggestions: {
    slide: number;
    current: string;
    suggested: string;
    reasoning: string;
  }[];
}

interface RedFlag {
  slide: number;
  issue: string;
  severity: 'high' | 'medium' | 'low';
  fix: string;
}

// Common red flags
const RED_FLAGS = [
  { pattern: /no competitors/i, issue: "Claiming no competitors", severity: 'high' },
  { pattern: /viral/i, issue: "Relying on 'going viral'", severity: 'medium' },
  { pattern: /AI-powered/i, issue: "Generic AI buzzwords", severity: 'medium' },
  { pattern: /disrupt/i, issue: "Overused startup jargon", severity: 'low' }
];

// Elephant questions by industry
const ELEPHANT_QUESTIONS = {
  fintech: ["How do you handle regulatory compliance?", "What's your licensing status?"],
  healthcare: ["What's your FDA pathway?", "Do you have clinical evidence?"],
  marketplace: ["How do you solve chicken-and-egg?", "What's your take rate?"],
  saas: ["What's your net revenue retention?", "Why will enterprise buy from you?"]
};

Smart Interview Questions

const DECK_INTERVIEW = {
  problem: [
    "What specific problem do you solve?",
    "Who experiences this problem most acutely?",
    "How do they solve it today?",
    "What's the cost of the problem (time, money, pain)?"
  ],
  solution: [
    "How does your solution work?",
    "What's the 'before and after' for users?",
    "What's the core technology/innovation?"
  ],
  traction: [
    "What's your current revenue/users?",
    "What's your growth rate?",
    "Who are your notable customers?",
    "What's your best customer quote?"
  ],
  ask: [
    "How much are you raising?",
    "What will you use the funds for?",
    "What milestones will this achieve?",
    "What's your next funding timeline?"
  ]
};

Universal Deck Rules

Rule	Application
Problem = numbers	Cost, time, risk — never just qualitative
Solution = before/after	Transformation, not feature list
Traction = graph-ready	Numbers with timeframes
Competition = honest	Never "no competitors"
Team = achievements	"Built X at Y" > "VP of Engineering"
Ask = specific	"$2M seed: 50% product, 30% GTM, 20% ops"

Edge Function: pitch-deck-agent

// Actions
- 'select_template': Choose template based on industry/stage
- 'interview': Run smart interview for content
- 'generate': Create all slides from answers
- 'critique': Run critic agent analysis
- 'suggest_visuals': Recommend charts/images
- 'export': Generate PDF/PPTX/Google Slides

AI Model Selection

Task	Model
Template selection	gemini-3-flash-preview
Interview questions	gemini-3-flash-preview
Slide generation	claude-sonnet-4-5-20250929
Critique/Red flags	claude-sonnet-4-5-20250929
Visual suggestions	gemini-3-pro-preview

References

• PRD Section 10: Pitch Deck System
• Strategy Section 8: Investor Materials
• Diagram D-12: Pitch Deck Flow
• /startup-system/guides/09-pitch-prompts.md