Offer Design
SkillMediaUse when designing or improving an offer, package, pricing page argument, plan structure, guarantee, bonus, trial, annual discount, service bundle, or upgrade path.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Offer Design skill
What this skill tells your AI
The instructions your AI receives, as published by infinite-labs-ai/infinite-skills in skills/offer-design/SKILL.md and read by ahel’s review.
Shape the offer around buyer anxiety, adoption path, fulfillment constraints, and plan boundaries.
Understand The Sale
Identify:
- Buyer and user.
- Desired outcome.
- Current alternative.
- Price or expected budget.
- Purchase anxiety.
- Fulfillment cost and margin risk.
- Proof available.
- Sales motion: self-serve, sales-led, product-led, service-led, marketplace.
If the user asks for copy before the offer is clear, define the offer first.
Inspect Offer Fit
Break it into fit dimensions:
- Buyer anxiety: what makes the purchase feel risky.
- Adoption path: what has to happen after purchase for value to appear.
- Fulfillment constraint: what the business must deliver reliably.
- Support burden: where customers will need help.
- Abuse risk: how guarantees, trials, discounts, or unlimited use can be misused.
- Plan boundary: what separates small, growing, and high-value customers.
- Proof threshold: what evidence the buyer needs before paying.
- Price logic: how price maps to value, usage, or urgency.
Flag weak spots: vague deliverables, fake urgency, unpriced complexity, guarantees that create abuse, discounts that train waiting, support promises the team cannot honor, or plan tiers that punish the best customers.
Redesign
Offer 2-3 structures:
- Simple offer: easiest to understand and buy.
- Proof-heavy offer: best when trust is the barrier.
- Expansion offer: best when land-and-expand matters.
For each, define the promise, included pieces, exclusions, price logic, risk reversal, and reason to act now.
Watch Outs
- Do not invent scarcity.
- Do not recommend a guarantee the business cannot honor.
- Tie bonuses to purchase anxiety, not random perceived value.
- Use a value metric customers can understand and the business can support.
- Keep plan differences based on customer maturity or usage, not arbitrary feature hiding.
Output
Offer fit diagnosis:
[what is clear, what is weak]
Purchase anxiety:
- [fear]
- [fear]
Recommended offer:
Name:
For:
Promise:
Includes:
Excludes:
Price logic:
Adoption support:
Risk handling:
Abuse boundary:
Plan boundary:
Alternative structures:
1. [option] - [when to use]
2. [option] - [when to use]
Copy-ready bullets:
- [bullet]
- [bullet]
- [bullet]
Signals
- GitHub stars
- 43
- Forks
- 4
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
offer-design- Source
- github.com/infinite-labs-ai/infinite-skills