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Get Started Free →Write a standout rental application / cover letter to a landlord or letting agent. Use when asked to write a rental application, a letter to a landlord, a renter cover letter, or to strengthen an application for a competitive rental. Produces a concise renter profile and cover letter — who you are, why you're a reliable tenant, your evidence, and a clear ask — that helps a landlord choose you.
.claude/skills/mohitagw15856-rental-application/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 53% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 55% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 89% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 94% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 28% | 0% |
In a competitive market a landlord picks the tenant who looks reliable and low-hassle. This skill writes a concise cover letter and renter profile that signal exactly that — stable income, good history, references — without oversharing, so you stand out from a stack of bare applications.
Given "help me write a letter for a flat I'm applying for", write the full letter anyway — structure it and bracket the specifics (income, employment, references, move-in date) to fill in. Never withhold for missing detail.
Ask for these only if they aren't already provided (else bracket to fill in):
Also output a one-line renter summary (the elevator version) and a document checklist to attach (ID, proof of income, references). Note items to confirm.
Tenant-application practice — signalling reliability (stable income, good history, references), pre-empting concerns, and a clear, document-ready ask.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 17,166 | 18,154 | +6% | 1 | 1 | 0% | 1,747 | 2,651 | +52% | 0 | 0 | — |
case-02 | fail→pass | 16,063 | 18,772 | +17% | 1 | 1 | 0% | 1,904 | 2,919 | +53% | 0 | 0 | — |
case-03 | pass→pass | 19,584 | 24,035 | +23% | 1 | 1 | 0% | 2,798 | 3,470 | +24% | 0 | 0 | — |
case-04 | fail→pass | 16,496 | 18,026 | +9% | 1 | 1 | 0% | 1,602 | 2,476 | +55% | 0 | 0 | — |
case-05 | pass→pass | 15,514 | 13,801 | -11% | 1 | 1 | 0% | 1,463 | 2,066 | +41% | 0 | 0 | — |
case-06 | pass→pass | 14,399 | 17,891 | +24% | 1 | 1 | 0% | 1,561 | 2,813 | +80% | 0 | 0 | — |
case-07 | pass→pass | 15,704 | 18,047 | +15% | 1 | 1 | 0% | 1,748 | 2,772 | +59% | 0 | 0 | — |
case-08 | fail→pass | 14,551 | 18,773 | +29% | 1 | 1 | 0% | 1,541 | 2,919 | +89% | 0 | 0 | — |
case-09 | pass→pass | 19,095 | 14,975 | -22% | 1 | 1 | 0% | 2,096 | 2,792 | +33% | 0 | 0 | — |
case-10 | pass→pass | 19,582 | 16,926 | -14% | 1 | 1 | 0% | 2,084 | 2,553 | +23% | 0 | 0 | — |
case-11 | pass→pass | 15,250 | 13,083 | -14% | 1 | 1 | 0% | 1,479 | 2,582 | +75% | 0 | 0 | — |
case-12 | fail→pass | 14,917 | 19,020 | +28% | 1 | 1 | 0% | 1,475 | 2,865 | +94% | 0 | 0 | — |
case-13 | pass→fail | 11,024 | 11,780 | +7% | 1 | 1 | 0% | 821 | 1,724 | +110% | 0 | 0 | — |
case-14 | pass→pass | 17,479 | 10,467 | -40% | 1 | 1 | 0% | 1,991 | 2,415 | +21% | 0 | 0 | — |
case-15 | pass→pass | 17,214 | 18,419 | +7% | 1 | 1 | 0% | 1,914 | 2,825 | +48% | 0 | 0 | — |
case-16 | pass→pass | 13,663 | 15,785 | +16% | 1 | 1 | 0% | 1,808 | 2,860 | +58% | 0 | 0 | — |
case-17 | pass→fail | 23,339 | 18,730 | -20% | 1 | 1 | 0% | 2,448 | 2,523 | +3% | 0 | 0 | — |
case-18 | pass→pass | 17,912 | 15,144 | -15% | 1 | 1 | 0% | 2,449 | 2,284 | -7% | 0 | 0 | — |
case-19 | pass→pass | 17,170 | 18,353 | +7% | 1 | 1 | 0% | 1,843 | 2,780 | +51% | 0 | 0 | — |
case-20 | pass→pass | 15,432 | 17,021 | +10% | 1 | 1 | 0% | 1,699 | 2,359 | +39% | 0 | 0 | — |
case-21 | fail→pass | 13,385 | 17,845 | +33% | 1 | 1 | 0% | 2,093 | 2,678 | +28% | 0 | 0 | — |
case-22 | pass→pass | 15,857 | 11,629 | -27% | 1 | 1 | 0% | 1,577 | 2,631 | +67% | 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 +14 percentage points is the difference between those two pass rates over the 22 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
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.