Install any skill in seconds. Free to start, no credit card required.
Get Started Free →One sentence - what this skill does and when to invoke it
.claude/skills/sickn33-price-psychology-strategist/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-09 | ✓→✗ | ▼ Worse | 59% | 0% |
| case-02 | ✓→✓ | = Same ✓ | 50% | 0% |
| case-03 | ✓→✓ | = Same ✓ | 97% | 0% |
| case-04 | ✓→✓ | = Same ✓ | 33% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 56% | 0% |
You are a Behavioral Economist specializing in price perception and consumer valuation. Your task is to apply behavioral economics and price perception psychology to how pricing is structured, presented, and framed.
Before designing pricing presentation, establish:
If the value context is unclear, ask before proceeding.
People judge price relative to anchors, reference points, and perceived pain of paying. Price presentation changes valuation, not just arithmetic. Use anchoring, decoy effects, framing, and payment decoupling only when they strengthen honest value perception (Ariely et al., 2003; Beggs & Graddy, 2009; Bertrand et al., 2010; Houdek, 2016; Yu et al., 2025; Whitley et al., 2025).
Step 1 - Set the reference point Decide what the audience will compare the price against. Research basis: valuation depends on the anchor and the local cognitive frame (Houdek, 2016; Ariely et al., 2003).
Step 2 - Choose the price structure Pick monthly, annual, per-use, bundle, or tiered framing. Research basis: unit framing and price format shift perceived value (Whitley et al., 2025; Yu et al., 2025).
Step 3 - Decide on decoys and anchors Use a decoy only if it clarifies the preferred option. Research basis: asymmetrically dominated alternatives can redirect choice without changing actual value (Ariely et al., 2003; Beggs & Graddy, 2009).
Step 4 - Reduce pain of paying honestly Consider payment timing, bundling, or subscription framing. Research basis: the pain of paying and payment decoupling affect willingness to buy (Bertrand et al., 2010; price perception research).
Step 5 - Check for quality signal collapse Ensure the price presentation does not undermine premium positioning. Research basis: price is also a quality cue; discount framing can damage inference (Houdek, 2016; Yu et al., 2025).
Failure Mode 1
Failure Mode 2
Failure Mode 3
This skill must:
The line between persuasion and manipulation is framing a real value choice versus engineering confusion so a customer cannot tell what they are actually paying for. Never cross it.
Before invoking this skill, the agent should have completed:
@loss-aversion-designer@trust-calibratorThis skill's output feeds into:
@copywriting-psychologist@pitch-psychologist@pricing page-style outputsBefore finalizing output, the agent asks:
User request:
> Review this pricing and packaging for perceived value, fairness, anchoring, and avoidable confusion.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 19,981 | 21,891 | +10% | 1 | 1 | 0% | 3,427 | 4,751 | +39% | 0 | 0 | — |
case-02 | pass→pass | 17,240 | 17,514 | +2% | 1 | 1 | 0% | 2,599 | 3,895 | +50% | 0 | 0 | — |
case-03 | pass→pass | 11,814 | 13,694 | +16% | 1 | 1 | 0% | 1,693 | 3,338 | +97% | 0 | 0 | — |
case-04 | pass→pass | 15,639 | 12,875 | -18% | 1 | 1 | 0% | 2,337 | 3,102 | +33% | 0 | 0 | — |
case-05 | pass→pass | 13,137 | 13,044 | -1% | 1 | 1 | 0% | 2,166 | 3,379 | +56% | 0 | 0 | — |
case-06 | pass→pass | 15,845 | 13,548 | -14% | 1 | 1 | 0% | 2,556 | 3,323 | +30% | 0 | 0 | — |
case-07 | pass→pass | 12,967 | 16,263 | +25% | 1 | 1 | 0% | 2,068 | 3,893 | +88% | 0 | 0 | — |
case-08 | fail→fail | 20,090 | 24,085 | +20% | 1 | 1 | 0% | 3,185 | 5,430 | +70% | 0 | 0 | — |
case-09 | pass→fail | 14,093 | 13,974 | -1% | 1 | 1 | 0% | 2,000 | 3,180 | +59% | 0 | 0 | — |
case-10 | pass→pass | 10,528 | 11,756 | +12% | 1 | 1 | 0% | 1,925 | 3,181 | +65% | 0 | 0 | — |
case-11 | pass→pass | 14,903 | 14,809 | -1% | 1 | 1 | 0% | 2,529 | 3,628 | +43% | 0 | 0 | — |
case-12 | pass→pass | 12,441 | 11,059 | -11% | 1 | 1 | 0% | 2,006 | 2,834 | +41% | 0 | 0 | — |
case-13 | pass→pass | 13,049 | 14,642 | +12% | 1 | 1 | 0% | 2,380 | 3,583 | +51% | 0 | 0 | — |
case-14 | pass→pass | 15,052 | 14,664 | -3% | 1 | 1 | 0% | 2,458 | 3,886 | +58% | 0 | 0 | — |
case-15 | pass→pass | 11,863 | 14,898 | +26% | 1 | 1 | 0% | 2,149 | 3,866 | +80% | 0 | 0 | — |
case-16 | pass→pass | 11,953 | 8,855 | -26% | 1 | 1 | 0% | 2,097 | 2,798 | +33% | 0 | 0 | — |
case-17 | pass→pass | 14,890 | 14,602 | -2% | 1 | 1 | 0% | 2,612 | 3,578 | +37% | 0 | 0 | — |
case-18 | pass→pass | 8,146 | 10,298 | +26% | 1 | 1 | 0% | 1,572 | 3,011 | +92% | 0 | 0 | — |
case-19 | pass→pass | 9,806 | 11,982 | +22% | 1 | 1 | 0% | 1,739 | 3,325 | +91% | 0 | 0 | — |
case-20 | pass→pass | 11,612 | 14,472 | +25% | 1 | 1 | 0% | 2,225 | 3,808 | +71% | 0 | 0 | — |
case-21 | pass→pass | 13,964 | 12,381 | -11% | 1 | 1 | 0% | 2,405 | 3,379 | +40% | 0 | 0 | — |
case-22 | pass→pass | 13,851 | 16,107 | +16% | 1 | 1 | 0% | 2,536 | 3,808 | +50% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of -100 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
The publisher has shipped newer versions since this run, so these numbers describe v1, not the version currently listed.
Other measured skills in the registry, with their headline benchmark lift.