Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Write and sequence multi-email nurture or launch campaigns. Use when asked for an email sequence, drip campaign, onboarding emails, product launch emails, or nurture flow. Produces subject lines, preview text, full email body, and send-timing recommendations for each email in the sequence.
.claude/skills/mohitagw15856-email-campaign/SKILL.md| Model | Eval pass | Runs |
|---|---|---|
| gemini-3.6-flash | 96% | 26 |
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 21% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -3% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -5% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 11% | 0% |
This skill writes complete, sequenced email campaigns — from welcome flows to product launches to re-engagement sequences. Each email is written with subject line, preview text, full body copy, and CTA.
Ask the user for these if not provided:
If the user hasn't specified number of emails, use these defaults:
For every email in the sequence, produce:
Email N] of Total] — Descriptive label e.g. "Welcome / Day 0"] Send timing: When relative to trigger event or previous email]
Subject line: Primary option] Subject line (A/B variant): Alternative to test] Preview text: 40–90 characters — adds context to the subject, doesn't repeat it]
Body:
Full email copy — formatted with clear opening line, 2–3 body paragraphs, one primary CTA]
CTA button text: 3–6 words] CTA destination: What page/action this should link to]
Strategic note: Why this email does what it does — the psychological or strategic intent. 1–2 sentences.]
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 24,688 | 16,383 | -34% | 1 | 1 | 0% | 4,296 | 3,999 | -7% | 0 | 0 | — |
case-02 | fail→pass | 16,335 | 13,780 | -16% | 1 | 1 | 0% | 2,589 | 3,324 | +28% | 0 | 0 | — |
case-03 | fail→pass | 18,060 | 15,442 | -14% | 1 | 1 | 0% | 3,070 | 3,704 | +21% | 0 | 0 | — |
case-04 | fail→pass | 15,874 | 10,693 | -33% | 1 | 1 | 0% | 2,876 | 2,803 | -3% | 0 | 0 | — |
case-05 | fail→pass | 22,909 | 16,470 | -28% | 1 | 1 | 0% | 3,743 | 3,560 | -5% | 0 | 0 | — |
case-06 | fail→pass | 13,463 | 9,683 | -28% | 1 | 1 | 0% | 2,234 | 2,483 | +11% | 0 | 0 | — |
case-07 | fail→pass | 16,653 | 12,626 | -24% | 1 | 1 | 0% | 2,538 | 3,094 | +22% | 0 | 0 | — |
case-08 | pass→pass | 17,730 | 16,815 | -5% | 1 | 1 | 0% | 2,788 | 3,588 | +29% | 0 | 0 | — |
case-09 | pass→pass | 8,465 | 10,629 | +26% | 1 | 1 | 0% | 1,355 | 2,456 | +81% | 0 | 0 | — |
case-10 | pass→pass | 8,574 | 12,837 | +50% | 1 | 1 | 0% | 1,301 | 2,922 | +125% | 0 | 0 | — |
case-11 | fail→pass | 9,994 | 7,766 | -22% | 1 | 1 | 0% | 1,580 | 2,195 | +39% | 0 | 0 | — |
case-12 | fail→pass | 8,589 | 14,314 | +67% | 1 | 1 | 0% | 1,430 | 3,231 | +126% | 0 | 0 | — |
case-13 | pass→pass | 8,058 | 8,144 | +1% | 1 | 1 | 0% | 1,359 | 2,301 | +69% | 0 | 0 | — |
case-14 | pass→pass | 10,713 | 10,684 | -0% | 1 | 1 | 0% | 1,531 | 2,531 | +65% | 0 | 0 | — |
case-15 | pass→pass | 16,577 | 10,939 | -34% | 1 | 1 | 0% | 2,221 | 2,466 | +11% | 0 | 0 | — |
case-16 | pass→pass | 11,835 | 11,035 | -7% | 1 | 1 | 0% | 1,767 | 2,525 | +43% | 0 | 0 | — |
case-17 | pass→pass | 8,796 | 12,099 | +38% | 1 | 1 | 0% | 1,404 | 2,854 | +103% | 0 | 0 | — |
case-18 | pass→pass | 7,954 | 7,301 | -8% | 1 | 1 | 0% | 1,147 | 1,988 | +73% | 0 | 0 | — |
case-19 | fail→pass | 8,851 | 10,106 | +14% | 1 | 1 | 0% | 1,401 | 2,673 | +91% | 0 | 0 | — |
case-20 | pass→pass | 17,912 | 18,474 | +3% | 1 | 1 | 0% | 3,901 | 5,366 | +38% | 0 | 0 | — |
case-21 | pass→pass | 11,570 | 13,753 | +19% | 1 | 1 | 0% | 2,165 | 3,391 | +57% | 0 | 0 | — |
case-22 | pass→pass | 18,216 | 19,789 | +9% | 1 | 1 | 0% | 2,775 | 3,807 | +37% | 0 | 0 | — |
case-23 | pass→pass | 10,982 | 7,337 | -33% | 1 | 1 | 0% | 2,131 | 2,154 | +1% | 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. 23 cases were attempted. The headline lift of +39 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.