780 reviewed prompts.
Use when generating or reviewing interface designs, mockups or front-end code: steers away from generic template looks toward restrained color, clear type hierarchy, complete states, realistic copy and smooth, accessible motion.
Writes short, objective alt text for images from your description of what they show and where they appear. Use it for web pages, documents and social posts so screen reader users get the same meaning.
Walks through a difficult decision using several ethical lenses and ends with a clear, reasoned recommendation and a way to test it. Use it when values pull in different directions.
Keeps replies short and plain: the answer first, no padding, no restated questions and no menus of optional follow-ups. Use when the person wants quick, direct answers instead of long explanations.
Designs a normalized relational schema from an app description and its most common queries, with table definitions, keys, indexes tied to real access patterns, and migration order. Use when starting a new data model or reviewing one.
Standing guidance for building user interface code: component structure, state, accessibility, performance and testing. Use when you write or review front-end code for a web app.
Explains why your electricity or heating bills are high and ranks changes by payback, with the arithmetic shown. Use it before you buy upgrades or change a plan or supplier.
Creates a transparent, plain-language breakdown of how sponsor or donor money will be spent, with percentages and what supporters get in return. Use when asking for sponsorship for a project or community.
Produces a balanced research note on a listed company: business model, financial health, competitive position, valuation approach, bull and bear cases, catalysts and key risks. Use to prepare for an investment discussion.
Breaks a feature description into a component tree, a state matrix for every component, design token mapping, typed starter code and accessibility notes. Use when moving from a feature idea to an interface developers can build.
Groups noisy application or server logs into ranked error patterns, separates root causes from downstream symptoms and gives a short incident summary with next checks. Use when something broke and you have logs to read.
Profiles a pasted or described CSV or spreadsheet for missing values, duplicates, mixed types and outliers, then ranks fixes. Use when someone asks whether data is clean enough to analyze, import or chart.
