Hormozi Pitch

Skill: Build a Hormozi-Style Pitch

Purpose

Turn an idea, product, service, or existing offer into a clear, compelling pitch that feels easy to say yes to.

This skill focuses on:

• sharpening the value proposition
• increasing perceived value
• reducing friction and risk
• structuring the offer so it feels obvious to buy
• producing a ready-to-use pitch

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When to Use

Activate this skill when the user wants to:

• create a new offer pitch
• improve a weak or unclear offer
• increase conversions
• structure pricing and guarantees
• make an offer feel more valuable
• prepare for launch or sales

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Inputs

The skill can start from:

• a raw idea
• a rough offer
• an existing product or service
• an OFFER.md document
• a sales page draft
• a short description like “I sell X to Y”

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Core Outcome

The assistant produces:

• a strong offer name
• a clear value proposition
• a structured value stack
• pricing logic
• a guarantee
• urgency and scarcity elements
• objection handling
• a complete pitch (short + long version)

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Assistant Behavior

1. Understand the offer first

Extract:

• who the offer is for
• what result it promises
• how it is delivered
• current price (if any)
• what feels weak, vague, or generic

Reflect back in simple terms.

Example: > You’re helping X get Y result through Z format. > The outcome is still a bit broad, and the value isn’t fully clear yet.

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2. Ask clarifying questions (only if needed)

Focus on gaps:

Customer & Outcome

• What result matters most to your customer?
• What makes them act now?
• What does success look like in real life?

Proof & Trust

• Do you have results, testimonials, or case studies?
• What makes you credible for this?

Offer Mechanics

• What exactly do they get?
• How fast can they see a result?
• What support do they receive?

Constraints

• Price range?
• Platform (Instagram, calls, email, landing page)?

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3. Diagnose using the Value Equation

Use Alex Hormozi’s Value Equation framework:

Value = (Dream Outcome × Perceived Likelihood) / (Time Delay × Effort & Sacrifice)

Break the offer into 4 parts:

Dream Outcome

• Is it clear?
• Is it specific?
• Is it desirable?

Perceived Likelihood

• Why should they believe this will work?
• Is proof visible?
• Is the path clear?

Time Delay

• How fast do they get a win?
• Can this be shortened?

Effort & Sacrifice

• How hard does it feel?
• Can steps be removed, simplified, or done for them?

Then explain where the offer is weak and how to improve it.

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4. Improve the offer before pitching

Suggest upgrades:

• make outcome more specific
• reduce time to first result
• add proof mechanisms
• simplify delivery
• remove friction
• increase perceived ease

If needed, propose:

• different format (DFY, DWY, DIY)
• different price positioning
• different scope

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5. Build the Value Stack

List all components:

For each:

• name
• what it does
• why it matters
• perceived value

Then:

• separate core offer vs bonuses
• stack bonuses in logical order
• calculate total value
• compare with actual price

Goal: create a strong gap between value and price.

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6. Design the Guarantee

Generate 3-4 options:

• unconditional (money-back)
• conditional (action-based)
• outcome-based (results-tied)
• anti-risk (you keep helping until result)

For each:

• give it a name
• write exact wording
• explain risk level

Then recommend the best one based on:

• price
• complexity
• trust level

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7. Add Scarcity & Urgency

Only if it fits.

Options:

• limited spots
• limited time
• fast-action bonuses
• deadline pricing
• cohort start date

Explain why the constraint exists. Avoid fake scarcity.

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8. Handle Objections

List main objections:

• “Will this work for me?”
• “Is it worth the price?”
• “Do I have time?”
• “What if it doesn’t work?”

Then write short responses that:

• reduce doubt
• increase clarity
• reinforce value

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9. Create the Offer Name

Use the MAGIC format:

• Make it about them
• Announce the avatar
• Give a goal
• Indicate a time frame
• Add a container word

Generate 5-10 variations.

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10. Write the Pitch

Short Version (for ads, bios, hooks)

• 1-2 lines
• clear outcome
• specific audience
• time or mechanism

Medium Version (for landing page)

• problem
• promise
• what they get
• why it works
• CTA

Long Version (full pitch)

• callout to audience
• pain amplification
• desired outcome
• solution explanation
• value stack
• price vs value contrast
• guarantee
• urgency
• CTA

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Output Format

# PITCH.md

## 1. Offer Summary
- Who it’s for
- What it helps them achieve
- How it works

## 2. Value Equation Breakdown
- Dream Outcome
- Perceived Likelihood
- Time Delay
- Effort & Sacrifice
- Key improvements made

## 3. Offer Name Options
- Name 1
- Name 2
- Name 3

## 4. Core Offer
- What’s included
- Format
- Delivery

## 5. Bonus Stack
- Bonus
- Purpose
- Value

## 6. Value Stack
- Total value
- Price
- Price justification

## 7. Guarantee
- Option 1
- Option 2
- Option 3
- Recommended guarantee

## 8. Scarcity & Urgency
- Mechanism
- Reason

## 9. Objection Handling
- Objection → Response

## 10. Pitch

### Short Version
...

### Medium Version
...

### Long Version
...

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Decision Rules

Strengthen outcome when: • it sounds vague • it’s not measurable • it lacks urgency

Increase belief when: • there is no proof • the claim feels too big • the path is unclear

Reduce friction when: • the process feels complex • too much effort is required • the user must figure things out alone

Add value when: • price feels high vs clarity • offer feels empty • differentiation is weak

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Style Guidelines • clear and direct • specific outcomes • simple language • no hype tone • no vague claims • always grounded in what the buyer wants

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Success Criteria

The pitch works when: • the outcome is clear in seconds • the buyer feels understood • the value feels higher than the price • risk feels low • objections are already answered • the next step feels easy

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: jpeslar1
• Source: jpeslar1/john-peslar-ai-skills
• License: MIT

Install and usage instructions live in the source repository linked above.