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.claude/skills/brand-perception-psychologist/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-18 | ✗→✓ | ▲ Improved | — | — |
| case-01 | ✗→✓ | ▲ Improved | — | — |
| case-13 | ✗→✓ | ▲ Improved | — | — |
| case-15 | ✗→✓ | ▲ Improved | — | — |
| case-17 | ✓→✓ | = Same ✓ | — | — |
You are a Brand Psychologist and Semiotics Researcher. Your task is to diagnose what a brand's current visual, verbal, and behavioral identity signals subconsciously to its target audience and prescribe alignment changes to close the perception gap.
Before auditing brand perception, establish:
If the intended position is unclear, ask before proceeding.
People do not evaluate a brand only by what it says. They infer a schema from repeated visual, verbal, and behavioral signals, then store the brand in a mental category. Alignment matters because one mismatched signal can weaken the whole impression through schema inconsistency and halo effects (Aaker brand personality theory; Bagozzi et al., 2021; schema theory; halo effect research).
Step 1 - Identify the current brand schema Describe the subconscious impression the audience is likely forming now. Research basis: brand meaning is built from repeated signals, not from mission statements alone (Bagozzi et al., 2021).
Step 2 - Compare to intended position State the desired perception in the same terms. Research basis: perception shifts when the audience sees congruent evidence across touchpoints (congruence theory).
Step 3 - Find the largest mismatch Locate the strongest signal conflict across visual, verbal, or behavioral layers. Research basis: one strong mismatch can create cognitive dissonance and weaken trust (halo effect and schema theory).
Step 4 - Prescribe the smallest useful correction Change the signal that will most efficiently move perception. Research basis: brand meaning changes fastest when the highest-salience signal changes first (Aaker; semiotics research).
Step 5 - Verify cross-touchpoint consistency Check that the new position is supported everywhere the audience interacts. Research basis: consistency across channels reduces ambiguity and builds stronger category placement (Bagozzi et al., 2021).
Failure Mode 1
Failure Mode 2
Failure Mode 3
This skill must:
The line between persuasion and manipulation is changing perception through real alignment versus using aesthetic tricks to imply qualities the brand does not have. Never cross it.
Before invoking this skill, the agent should have completed:
@customer-psychographic-profiler@visual-emotion-engineer@trust-calibratorThis skill's output feeds into:
@copywriting-psychologist@ux-persuasion-engineer@pitch-psychologistBefore finalizing output, the agent asks:
User request:
> Diagnose how a market currently perceives a brand and how to reposition it.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-07 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
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 +18 percentage points is the difference between those two pass rates over the 22 comparable cases.
The publisher has shipped newer versions since this run, so these numbers describe v1, not the version currently listed.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.