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suede-offers

Suede AI offer design and persuasion mechanics: scores the offer on the Suede Value Levers (outcome, confidence, wait, effort), then builds bonuses that each remove an objection, guarantees and risk reversal matched to the buyer's real risk, honest scarcity and deadlines that meet FTC, UK, and EU consumer rules, naming, and payment structure, plus evidence-tiered behavioral models (anchoring, framing, social proof, loss aversion, defaults) stated as testable hypotheses. Returns an Offer Brief. Use when building or diagnosing a service, course, coaching, info-product, agency, or high ticket B2B offer, or when the user asks which psychological lever applies and how to test it. NOT FOR: SaaS tier and value-metric architecture (use suede-pricing), sales-page copy (use suede-copy), in-product upgrade prompts (use suede-paywalls), or clinical and mental-health advice.

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包含的文件(12)

  • SKILL.md10.1 KB
  • agents/openai.yaml635 B
  • CARD.md4.9 KB
  • evals/evals.json4.5 KB
  • references/behavioral-models.md24.1 KB
  • references/bonus-stacking.md7.6 KB
  • references/examples.md9.6 KB
  • references/guarantee-design.md7.9 KB
  • references/offer-anatomy.md8.6 KB
  • references/offer-formats.md10.2 KB
  • references/scarcity-urgency.md9.3 KB
  • references/value-levers.md7.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Suede Offer Architecture

Suede AI separates the offer underneath the page from the copy that presents it. Improve the real value exchange (outcome, proof, effort, time, scope, bonuses, guarantee, price structure, honest constraints) before polishing language around a weak proposition. Behavioral levers come last, as tested hypotheses, never as tricks.

Before Starting

Read .agents/product-marketing.md first if it exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md) and ask only for what it does not cover.

Where this skill fits

Strong fit: services and productized services, agencies and retainers, courses and cohorts, coaching and masterminds, info products and communities, high-ticket B2B with a sales conversation, direct-response promotions.

Hand off: self-serve SaaS tiers and value metrics go to suede-pricing (use this skill only for the guarantee, trial offer, or annual-prepay offer). Sales-page language goes to suede-copy, the conversion path to suede-site-alchemy, upgrade prompts to suede-paywalls, and the launch to suede-campaign-in-a-box (creator) or suede-marketing-plan (product or service).


The Suede Value Levers

              Outcome  ×  Confidence
  Value  =  ───────────────────────────
              Wait     ×  Effort
LeverWhat it meansHow to raise value
Outcome ↑The result the buyer wants, one level above the surface askName it specifically. "Five qualified leads a week," not "a website."
Confidence ↑Belief that it will work for themNamed proof, a specific method, a guarantee, people like them who got results
Wait ↓Time to first win and full resultEngineer a first win in week one, front-load assets, compress the timeline you can actually hit
Effort ↓Time, learning, decisions, willpower, social riskDone-for-you options, defaults, templates, async over live

Most "lower the price" requests are really "raise the top or shrink the bottom" requests. Price is the comparison, not the value. Full method and scoring prompts: references/value-levers.md.

The six parts of a complete offer

#PartQuestion it answers
1Core deliverableWhat do they get, and what is out of scope?
2Bonus stackWhich objection does each bonus remove?
3GuaranteeWhat happens if it does not work?
4Real constraintWhy now, not later?
5NameWhat is this thing called?
6Price and paymentWhat do they pay, and how?

Weak offers usually fail on bonuses (none), guarantees (none or mismatched), or scarcity (none, or fake). Detail: references/offer-anatomy.md.

Reference Library

ReferenceRead when
value-levers.mdFinding which lever is binding
offer-anatomy.mdBuilding an offer from scratch
guarantee-design.mdPicking a guarantee type for the business model
bonus-stacking.mdAdding bonuses without devaluing the core
scarcity-urgency.mdReal constraints, plus the US, UK, and EU legal guardrails
offer-formats.mdPlaybooks by business type
examples.mdIllustrative before/after composites
behavioral-models.mdAny time you are about to name a psychological model

The Diagnostic Loop

When the user says "my offer isn't converting" or "help me build an offer":

  1. Identify the business type. The playbook is type-specific.
  2. Write the current offer in plain language: name, price, deliverables, guarantee, deadline.
  3. Score the four levers 1-10. Name the lowest and the evidence gap behind it ("confidence: 4, no named customer, no before/after number"). If every lever scores above 6, the score is not the finding: name what would have to be true for the current conversion rate to make sense, and go find that.
  4. Audit the six parts. Which is missing or weak?
  5. Change one lever this iteration. Usually the lowest.
  6. Draft the changed part: a bonus, guarantee, real constraint, name, or payment plan.
  7. Set the measurement, not a forecast. Name the metric (close rate, page conversion, refund rate, renewal), the baseline, and the review date. Do not promise a lift percentage; nobody knows it before the test.

Output: Offer Brief

Use these headings verbatim whether the offer is new or being repaired:

# Offer Brief: [offer name]

## Name
## Core deliverable
## Bonus stack
[Each bonus and the objection it removes. No invented "$ value" figures.]
## Guarantee + conditions
[Type, exact conditions, and who carries the cost when it is claimed.]
## Real constraint behind the deadline
[Capacity, cohort start, price change, or inventory. If none, write
 "none" and drop the deadline.]
## Price + payment structure
## Lever changed this iteration
[Which lever, its score before, and what evidence moves it.]
## Behavioral levers used
[Each one in the Persuasion Mechanics contract format, or "none".]
## What to measure
[Metric, baseline, review date.]
## What I did not change and why

Persuasion Mechanics

Use behavioral science to remove confusion and fear, never to trap. Read the relevant entries in references/behavioral-models.md before naming any model; the evidence tier there sets how hard you may lean on it.

Quick Reference

ChallengeCandidate models
Low conversionMotivation-Ability-Prompt, activation energy, choice simplification
Price objectionsAnchoring, framing, mental accounting, loss aversion
TrustAuthority, social proof, reciprocity, shared identity
UrgencyReal scarcity, loss aversion, present bias
Retention and churnEndowment, switching costs, status-quo bias
Decision paralysisDefaults, choice architecture, fewer options (tested, not assumed)
OnboardingGoal-gradient, IKEA effect, small voluntary commitments
Growth stallsConstraints thinking, local vs. global optima, compounding

Per-recommendation contract

**Mechanism:** [model]: [the behavior it predicts, one sentence]
**Evidence:** [Robust / Context-dependent / Contested / Folklore / Framework,
copied from the catalog], [what that tier allows you to claim here]
**Application:** [the specific change to this offer, page, price, or sequence]
**Test:** [what changes, the metric, the success threshold, how long it runs]

Contested and Folklore entries are experiments to run, never reasons a change will work. If nothing in the catalog fits, say so instead of stretching a model.

Ask before recommending

  1. What behavior are you trying to change?
  2. What does the buyer believe before they see this?
  3. Where are they: unaware, comparing, or deciding?
  4. What is stopping the action today?
  5. What have you already tested?

Patterns to refuse

  • Manufactured scarcity: resetting timers, "only 3 left" on unlimited digital goods, fake "N people viewing." Legal exposure as well as trust loss; see the guardrails in scarcity-urgency.md.
  • Over-promising guarantees: "double your revenue or a refund plus $1,000." The few failures become public.
  • Bonus inflation: $50K of "bonuses" on a $497 product.
  • Fake or bought social proof: illegal in the US under the FTC reviews rule and in the UK under the DMCC Act.
  • Hidden defaults and obstructed cancellation for any continuity component.

Banned vocabulary in offer language

"Game-changing," "revolutionary," "next-level," "10x," "secret," "what they don't want you to know," "limited time" without a real limit, "worth $X" without a comparable, "100% guaranteed" without conditions. Use specific numbers, named customers, concrete outcomes, real timelines.

Boundaries

  • Do not invent outcome evidence, comparable value, scarcity, deadlines, testimonials, guarantee economics, refund terms, or behavioral effect sizes.
  • Do not create payment objects, publish an offer, change pricing, or make legal promises without explicit authorization.
  • Do not recommend deception, coercive urgency, hidden defaults, inaccessible cancellation, or conditions hidden from the buyer.
  • Do not diagnose people, infer protected traits, or present marketing models as clinical truths.
  • Do not decide margin, liability, compliance, or brand-risk acceptance for the user.

Routing

  • suede-pricing for tiers, packaging, and value metrics.
  • suede-copy for the sales page and suede-site-alchemy for the conversion path.
  • suede-campaign-in-a-box (creator) or suede-marketing-plan (product or service) to launch; suede-launch-packaging when the thing shipping is software.
  • suede-paywalls for in-product upgrade prompts and subscription-law detail.
  • suede-ab-testing to size and read out any offer or behavioral test.
  • suede-sales-enablement or suede-emails for approved execution.

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