Feature spec
Goal: Send a clear invoice after finishing a job.
- Add a client, line items, a due date, and payment instructions.
- Preview the total before exporting a PDF.
- Keep an editable draft if export fails.
the noaa national severe storms laboratory and the university of oklahoma's cooperative institute for mesoscale meteorological studies needs your help with severe weather research!
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Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.
A product spec, screen plans, and build steps for your coding agent.
First kit free with a verified email
Combine features and design from your favorite apps.
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Generating… usually about a minute.
What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
A product spec, phased build plan, differentiation notes, and screen references.
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Goal: Send a clear invoice after finishing a job.
Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.
States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.
Hypothesis: Contractors need faster repeat invoices more than more templates.
First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.
The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.
Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.
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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for mPing: map the core Education workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.
Hypothesis 1
Assumption to check: Limited offline capabilities may hinder learning.
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: User interface can be cluttered with too much information.
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Lack of gamification features may reduce engagement.
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Inconsistent performance on low-end devices.
Validate with people who use this workflow before building.
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
the noaa national severe storms laboratory and the university of oklahoma's cooperative institute for mesoscale meteorological studies needs your help with severe weather research! the meteorological phenomena identification near the ground project (mping) needs you, the citizen scientist, to watch and report on precipitation. mping is looking for volunteers of all ages and backgrounds to make observations - teachers, classes, families, everyone, and anyone! this app is your portal for providing observations to researchers at nssl. your reports will help them develop and refine algorithms that use the newly upgraded dual-polarization nexrad radars to detect and report on the type of precipitation that you see falling. to do a good job, we need tens of thousands of observations from all over the us. we can succeed only with your help. mping volunteer observers can spend as much time as they want, from a little to a lot, making observations. the basic idea is simple: nssl will collect radar data from nexrad radars in your area along with sounding data from our models during storm events, and use your data to develop and validate new and better algorithms. we have two focus areas: winter precipitation types, such as rain, freezing rain, drizzle, freezing drizzle, snow, graupel, ice pellets, mixed rain and snow, mixed ice pellets and snow and even observations of “none” when the precipitation has stopped, even if only briefly. why? because the radars cannot see close to the ground at far distances and because automated surface sensors are only at airports. but the people affected by winter weather are everywhere so we need you to tell us what is happening where you are. but we need more than winter weather details: when there are thunderstorms, we need to know if hail falls and, if it does, how big it is. measuring with a ruler is best but, whatever you do, stay safe. all you need to do is use this app to select the precipitation type. tell us what is hitting the ground. nssl scientists will compare your report with what the radar has detected and what our models think the atmosphere is doing, and use it to develop new technologies and techniques to determine what kind of precipitation such as snow, ice, rain or hail and its size is falling where.
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Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
From the Build Kit assessment.
A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.