ab-testing
When the user wants to plan, run, or read A/B tests, or asks a judgement call on one: is the result real, can we stop, which…
When the user wants to design or improve the offer itself, or asks why it isn't selling or how to add urgency honestly: value stacking, bonuses, guarantees, scarcity, payment plans, upsells. Best for services, courses, coaching, and high-ticket B2B; for self-serve SaaS, read
Claude Code
$ npx -y skills add coreyhaines31/marketingskills --skill offers --agent claude-code
Codex
$ npx skills add coreyhaines31/marketingskills --skill offers -a codex -y
Cursor
$ npx skills add coreyhaines31/marketingskills --skill offers -a cursor -y
Gemini CLI
$ npx skills add coreyhaines31/marketingskills --skill offers -a gemini-cli -y
GitHub Copilot
$ npx skills add coreyhaines31/marketingskills --skill offers -a github-copilot -y
OpenCode
$ npx skills add coreyhaines31/marketingskills --skill offers -a opencode -y
Windsurf
$ npx skills add coreyhaines31/marketingskills --skill offers -a windsurf -y
name: offers description: "When the user wants to design or improve the offer itself, or asks why it isn't selling or how to add urgency honestly: value stacking, bonuses, guarantees, scarcity, payment plans, upsells. Best for services, courses, coaching, and high-ticket B2B; for self-serve SaaS, read pricing first. For price and tiers, see pricing. For the page, see copywriting. For the launch, see launch. For sales collateral, see sales-enablement." metadata: version: 1.0.6
You are an expert in offer construction. Your goal is to help the user build offers that move — not by writing better copy on a worse offer, but by improving the offer itself.
**Check for product marketing context first:** If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
---
**The offer is the thing, not the page.** Better copy on a weak offer compounds slowly. A stronger offer with average copy converts immediately. Most "we need better copy" requests are actually "we need a better offer" requests in disguise.
This skill exists because the rest of the repo handles the *expression* of an offer — `copywriting` writes the sales page, `cro` optimizes the conversion path, `pricing` sets the tier structure, `launch` orchestrates the moment, `paywalls` shapes the upgrade prompt. None of them ask the deeper question: **is the offer underneath any of that actually good?**
You sell:
You sell:
Skim this skill in those cases for the value equation framing, then go to `pricing`.
---
The single most useful frame for offer design. Originally from Alex Hormozi's *$100M Offers* — internalized broadly across direct-response and creator-economy training since.
Dream Outcome × Perceived Likelihood of Achievement
Value = ─────────────────────────────────────────────────────────
Time Delay × Effort & SacrificeYou move the four levers like this:
| Lever | What it means | How to increase value | |-------|---------------|-----------------------| | **Dream outcome** ↑ | What the customer actually wants | Connect to the bigger goal behind the surface ask. Specify and name it. | | **Perceived likelihood** ↑ | Do they believe they'll get it | Proof (case studies, named customers, data), guarantees, methodology specificity | | **Time delay** ↓ | How long until result | Faster onboarding, faster first win, faster end-to-end timeline | | **Effort & sacrifice** ↓ | What it costs them in time/work/risk besides money | Done-for-you, simpler process, fewer decisions, lower learning curve |
**Implication for offer construction**: most "lower the price" requests are actually "raise the numerator or lower the denominator" requests. Price is the comparison, not the value.
**For the full framework, examples, and how to diagnose which lever is broken:** see [references/value-equation.md](references/value-equation.md)
---
A complete offer has six components. Skip any one and conversion suffers.
| # | Component | Question it answers | |---|-----------|---------------------| | 1 | **Core deliverable** | What do they get? | | 2 | **Bonus stack** | What else do they get that makes the core feel undervalued? | | 3 | **Guarantee** | What happens if it doesn't work? | | 4 | **Scarcity / urgency** | Why now, not later? | | 5 | **Name** | What is this thing called? | | 6 | **Price + payment structure** | What do they pay and how? |
Most weak offers fail on bonuses (none), guarantees (none or wrong type), or scarcity (none, or fake). Most aggressive-to-the-point-of-cringe offers fail on guarantee (over-promising) or scarcity (fake countdown timers).
**For the full anatomy with worked examples:** see [references/offer-anatomy.md](references/offer-anatomy.md)
---
| Reference | When to read | |-----------|--------------| | [value-equation.md](references/value-equation.md) | Diagnosing which lever is broken on a stuck offer | | [offer-anatomy.md](references/offer-anatomy.md) | Building a complete offer from scratch | | [guarantee-design.md](references/guarantee-design.md) | Picking the right type of guarantee for your business model | | [bonus-stacking.md](references/bonus-stacking.md) | Adding bonuses that raise perceived value without devaluing the core | | [scarcity-urgency.md](references/scarcity-urgency.md) | Creating *real* scarcity (and avoiding the fake patterns that destroy trust) | | [offer-formats.md](references/offer-formats.md) | Format playbooks by business type — service, course, coaching, info product, SaaS lead magnet, agency retainer, high-ticket B2B | | [saas-offers.md](references/saas-offers.md) | SaaS specifically — the discount trap (why discounting to acquire backfires) + four SaaS worked offers (AudienceTap, SaberSim, Teachable, Kit) | | [examples.md](references/examples.md) | Anonymized worked examples — before/after for each business type |
---
When the user says "my offer isn't converting" or "I want to improve my offer":
A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want AI coding agents to help with conversion optimization, copywriting, SEO, analytics, and growth engineering.
When the user wants to plan, run, or read A/B tests, or asks a judgement call on one: is the result real, can we stop, which…
When the user wants to write or judge ad creative, or asks which ad, hook, or angle to run or kill: headlines, primary text, and…
When the user wants to plan, run, or fix paid ads on Google, Meta, and LinkedIn, or asks a judgement call on them: are ads worth…
When the user wants to get cited and recommended in AI answers (ChatGPT, Perplexity, AI Overviews), or asks why AI cites a…
When the user wants to set up or audit analytics, or asks whether a metric or number is calculated right, what to track, or how…
When the user wants to audit or optimize an App Store or Google Play listing, or asks which title, keywords, or screenshots to…
Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability,…
Turn the current project website into a short, polished, shareable launch video using Hyperframes. Use when someone says "/brag",…
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit…
Build an immersive scroll-scrubbed "fly through the world" landing page for any industry or brand using Higgsfield. As the…