grand-slam-offer

Name: grand-slam-offer
Author: Affitor

4installs184forks

How to install grand-slam-offer?

affitor/affiliate-skills/grand-slam-offer

$npx -y skills add Affitor/affiliate-skills --skill grand-slam-offer

Installs into the current project.

Summary

Design irresistible affiliate offers using the Hormozi Grand Slam framework. Triggers on: "create an offer for", "design my offer", "grand slam offer", "make an irresistible offer", "why should someone buy through my link", "offer framework", "value proposition for", "Hormozi off

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SKILL.md

1	# Grand Slam Offer
2
3	Design affiliate offers so good people feel stupid saying no. Uses the Hormozi Value Equation: Value = Dream Outcome × Perceived Likelihood ÷ Time Delay ÷ Effort & Sacrifice. Deconstructs why someone should click YOUR link over any other affiliate's.
4
5	## Stage
6
7	S4: Landing — The offer IS the landing page's job. Before writing HTML or copy, you need an offer framework that makes the conversion inevitable.
8
9	## When to Use
10
11	- User wants to differentiate their affiliate promotion from every other affiliate
12	- User asks "why would someone buy through MY link?"
13	- User is about to create a landing page and needs the offer angle first
14	- User wants to increase conversion rates on an existing promotion
15	- User says anything like "offer", "value proposition", "irresistible", "Hormozi"
16	- User has a product from S1 and wants to craft the positioning before S4 landing page
17
18	## Input Schema
19
20	```yaml
21	product: # REQUIRED — the affiliate product
22	name: string # Product name
23	description: string # What it does
24	reward_value: string # Commission (e.g., "30% recurring")
25	url: string # Affiliate link URL
26	pricing: string # Product price or pricing page URL
27	tags: string[] # e.g., ["ai", "video", "saas"]
28
29	target_audience: string # OPTIONAL — who you're targeting
30	# Default: inferred from product tags
31
32	bonuses: string[] # OPTIONAL — bonuses you're already offering
33	# Default: none (will suggest bonuses)
34
35	competitors: string[] # OPTIONAL — competing products
36	# Default: auto-researched
37	```
38
39	Chaining from S1: If `affiliate-program-search` was run earlier, automatically pick up `recommended_program` as the `product` input.
40
41	Chaining from S1 purple-cow-audit: If `purple-cow-audit` was run, use `remarkability_score` and `remarkable_angles` to inform the offer.
42
43	## Workflow
44
45	### Step 1: Gather Context
46
47	If product data is available from S1 chaining, use it directly. Otherwise:
48
49	1. Use `web_search` to research: `"[product name] features pricing review"`
50	2. Gather: name, pricing tiers, key features, target audience, top 3 competitors
51	3. If `target_audience` not provided, infer from product positioning and tags
52
53	### Step 2: Apply Value Equation
54
55	Read `shared/references/offer-frameworks.md` for the Hormozi framework.
56
57	For each component of the Value Equation, score the product 1-10 and identify leverage points:
58
59	Dream Outcome (maximize)
60	- What is the #1 transformation the audience wants?
61	- What does life look like AFTER using this product?
62	- Frame in terms of identity: "Become the person who..."
63
64	Perceived Likelihood (maximize)
65	- What proof exists? (case studies, user count, reviews)
66	- What specific numbers can you cite?
67	- What demonstration can you offer? (your own results, screenshots)
68
69	Time Delay (minimize)
70	- How fast can they see first results?
71	- What quick wins does the product offer?
72	- Can you accelerate with your bonuses? (templates, setup guide)
73
74	Effort & Sacrifice (minimize)
75	- What's the learning curve?
76	- What do they have to give up?
77	- Can you reduce effort with done-for-you assets?
78
79	### Step 3: Design the Offer Stack
80
81	Build the complete offer:
82
83	1. Core product — the affiliate product itself with reframed positioning
84	2. Your unique angle — why YOU are the right person to recommend this
85	3. Bonus suggestions — 3-5 bonuses that address the weakest Value Equation components
86	4. Guarantee suggestion — your personal guarantee on top of the product's
87	5. Urgency element — ethical, real urgency (if applicable)
88
89	### Step 4: Write Offer Copy
90
91	Create ready-to-use copy blocks:
92	- Headline: One sentence that captures the dream outcome
93	- Sub-headline: Addresses the biggest objection
94	- Value stack: Bullet list of everything they get (product + bonuses + guarantee)
95	- CTA: Action-oriented, specific, urgent
96
97	### Step 5: Output
98
99	Present the complete Grand Slam Offer framework.
100
101	### Step 6: Self-Validation
102
103	Before presenting output, verify:
104
105	- [ ] Value Equation is complete (all 4 components scored and addressed)
106	- [ ] Offer is differentiated from a generi

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grand-slam-offer

4installs184forks

View on GitHub

How to install grand-slam-offer?

affitor/affiliate-skills/grand-slam-offer

$npx -y skills add Affitor/affiliate-skills --skill grand-slam-offer

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Grand Slam Offer
2
3	Design affiliate offers so good people feel stupid saying no. Uses the Hormozi Value Equation: Value = Dream Outcome × Perceived Likelihood ÷ Time Delay ÷ Effort & Sacrifice. Deconstructs why someone should click YOUR link over any other affiliate's.
4
5	## Stage
6
7	S4: Landing — The offer IS the landing page's job. Before writing HTML or copy, you need an offer framework that makes the conversion inevitable.
8
9	## When to Use
10
11	- User wants to differentiate their affiliate promotion from every other affiliate
12	- User asks "why would someone buy through MY link?"
13	- User is about to create a landing page and needs the offer angle first
14	- User wants to increase conversion rates on an existing promotion
15	- User says anything like "offer", "value proposition", "irresistible", "Hormozi"
16	- User has a product from S1 and wants to craft the positioning before S4 landing page
17
18	## Input Schema
19
20	```yaml
21	product: # REQUIRED — the affiliate product
22	name: string # Product name
23	description: string # What it does
24	reward_value: string # Commission (e.g., "30% recurring")
25	url: string # Affiliate link URL
26	pricing: string # Product price or pricing page URL
27	tags: string[] # e.g., ["ai", "video", "saas"]
28
29	target_audience: string # OPTIONAL — who you're targeting
30	# Default: inferred from product tags
31
32	bonuses: string[] # OPTIONAL — bonuses you're already offering
33	# Default: none (will suggest bonuses)
34
35	competitors: string[] # OPTIONAL — competing products
36	# Default: auto-researched
37	```
38
39	Chaining from S1: If `affiliate-program-search` was run earlier, automatically pick up `recommended_program` as the `product` input.
40
41	Chaining from S1 purple-cow-audit: If `purple-cow-audit` was run, use `remarkability_score` and `remarkable_angles` to inform the offer.
42
43	## Workflow
44
45	### Step 1: Gather Context
46
47	If product data is available from S1 chaining, use it directly. Otherwise:
48
49	1. Use `web_search` to research: `"[product name] features pricing review"`
50	2. Gather: name, pricing tiers, key features, target audience, top 3 competitors
51	3. If `target_audience` not provided, infer from product positioning and tags
52
53	### Step 2: Apply Value Equation
54
55	Read `shared/references/offer-frameworks.md` for the Hormozi framework.
56
57	For each component of the Value Equation, score the product 1-10 and identify leverage points:
58
59	Dream Outcome (maximize)
60	- What is the #1 transformation the audience wants?
61	- What does life look like AFTER using this product?
62	- Frame in terms of identity: "Become the person who..."
63
64	Perceived Likelihood (maximize)
65	- What proof exists? (case studies, user count, reviews)
66	- What specific numbers can you cite?
67	- What demonstration can you offer? (your own results, screenshots)
68
69	Time Delay (minimize)
70	- How fast can they see first results?
71	- What quick wins does the product offer?
72	- Can you accelerate with your bonuses? (templates, setup guide)
73
74	Effort & Sacrifice (minimize)
75	- What's the learning curve?
76	- What do they have to give up?
77	- Can you reduce effort with done-for-you assets?
78
79	### Step 3: Design the Offer Stack
80
81	Build the complete offer:
82
83	1. Core product — the affiliate product itself with reframed positioning
84	2. Your unique angle — why YOU are the right person to recommend this
85	3. Bonus suggestions — 3-5 bonuses that address the weakest Value Equation components
86	4. Guarantee suggestion — your personal guarantee on top of the product's
87	5. Urgency element — ethical, real urgency (if applicable)
88
89	### Step 4: Write Offer Copy
90
91	Create ready-to-use copy blocks:
92	- Headline: One sentence that captures the dream outcome
93	- Sub-headline: Addresses the biggest objection
94	- Value stack: Bullet list of everything they get (product + bonuses + guarantee)
95	- CTA: Action-oriented, specific, urgent
96
97	### Step 5: Output
98
99	Present the complete Grand Slam Offer framework.
100
101	### Step 6: Self-Validation
102
103	Before presenting output, verify:
104
105	- [ ] Value Equation is complete (all 4 components scored and addressed)
106	- [ ] Offer is differentiated from a generi

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6 picks

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