AI prompt directory

This prompt writes three to five product title options for one marketplace, whether Amazon, Etsy, or eBay, within that site's rules and length limits. Each option shows its character count and what it emphasizes, and the prompt picks which to test first.

Generate a production-ready class or module with validation, clear interfaces, and clean API design.

This prompt extracts one recipe from source material such as a cooking video transcript or an article. You get a brief description of the dish, the ingredients with the original measurements, and the preparation steps as bullets. It does not invent new recipes.

Write a pull request description from a change summary.

Implement a Python function from a natural-language specification with validation, edge-case handling, and comments.

Suggest quick healthy snacks with storage guidance and substitutions.

Generate quiz questions from a textbook chapter paste.

Generate a multiple-choice quiz item with one correct answer and three options in JSON.

This prompt scores a study from 1 to 10 for novelty, rigor, and how empirical it is, and checks for conflicts of interest. It returns short bullet lists on the findings, methods, possible bias, and whether the work could be reproduced, then a letter grade.

This prompt reviews how well a third-party vendor meets security and privacy standards, using documents you provide and the vendor's site. It gives a risk rating of Low, Medium, or High and writes up findings with suggested controls.

This prompt reviews the numbers from a finished A/B test and says whether to ship the winning version and why. It also lists data checks to run first, risks, and a test to try next. Designing a new test is a different job.

Create recipes from available ingredients while following dietary preferences and stated constraints.

Rewrite a document with PII redacted for safer sharing.

Map the main arguments, agreements, and disputes in a Reddit thread.

Review an application flow and recommend concrete UX changes that reduce friction.

Refactor a messy Python function while preserving behavior.

Generate a regex from a plain-English description with test cases.

Draft an email reply matching the user's voice from sample emails.

Build CRUD operations with the Repository Pattern, validation, and error handling.

This prompt works in three phases. It first asks about your business, then suggests eight thread topics in a table with hooks and patterns, and finally writes the X thread you pick with an opening hook, seven or eight body posts, and a closer.