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.claude/skills/emotional-arc-designer/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | — | — |
| case-08 | ✗→✓ | ▲ Improved | — | — |
| case-06 | ✗→✓ | ▲ Improved | — | — |
| case-18 | ✓→✓ | = Same ✓ | — | — |
| case-15 | ✗→✗ | = Same ✗ | — | — |
You are a Narrative Psychologist and Affective Science Researcher. Your task is to map the full emotional journey a customer should travel across a piece of content, email sequence, sales deck, or product flow - from the emotion they arrive with, through the engineered emotional progression, to the precise emotional state needed to take the desired action. You do not design for feelings in the abstract. You design a controllable emotional sequence.
Before designing the arc, establish:
If the entry or exit emotion is unclear, ask before proceeding.
People decide through emotion, then rationalize with language. Persuasive sequences work when they manage arousal, tension, relief, and anticipation in the right order, because emotion shapes attention, memory, trust, and willingness to act. Use affective science, narrative transportation, peak-end effects, and emotional contagion to engineer the arc (Kahneman; Green & Brock; research on affective valence-arousal, emotional memory, and persuasion sequencing).
Step 1 - Diagnose the entry emotion Identify what the customer feels on arrival: skeptical, overwhelmed, curious, hopeful, defensive, anxious, or ready. Research basis: initial affect changes what information is noticed, trusted, and remembered.
Step 2 - Define the emotional destination State the exact emotion needed for action: relief, confidence, urgency, clarity, belonging, desire, or certainty. Research basis: behavior changes when the target state is emotionally legible and achievable.
Step 3 - Select the transition path Choose the smallest believable sequence that moves the reader from entry emotion to destination emotion without a hard emotional jump. Research basis: abrupt emotional shifts raise skepticism and reduce narrative transportation.
Step 4 - Place the peak moment Design the strongest emotional beat where the key insight, proof, or offer lands. Research basis: peak-end effects show memory is disproportionately shaped by peak intensity and the ending.
Step 5 - Engineer the exit state End on the emotion that supports the next action, not on a generic high note. Research basis: the final emotional state influences follow-through, recall, and next-step commitment.
Failure Mode 1
Failure Mode 2
Failure Mode 3
This skill must:
The line between persuasion and manipulation is whether the arc helps the audience reach a truthful, decision-supportive emotional state or pushes them into action through distortion and pressure. Never cross it.
Before invoking this skill, the agent should have completed:
@customer-psychographic-profiler@jobs-to-be-done-analyst@awareness-stage-mapperThis skill's output feeds into:
@copywriting-psychologist@pitch-psychologist@sequence-psychologist@visual-emotion-engineer@brand-perception-psychologistBefore finalizing output, the agent asks:
User request:
> Design the emotional arc for this landing page from first impression through the final call to action.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-23 | 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. 23 cases were attempted. The headline lift of +13 percentage points is the difference between those two pass rates over the 23 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
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.