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Claude/ChatGPT (or Cursor) Prompt to Build Reusable Cursor Recipes

Get eight reusable, copy-paste Cursor prompt recipes for routine engineering work like tests, types, refactors, and docs that produce working changes.

Fill in the placeholders

Edit the values, then copy your finished prompt.

Your Prompt
prompt.txt

                                

What this prompt does

This prompt turns the AI into a recipe author rather than a one-off assistant. Instead of asking for a single change, you ask it to produce eight reusable, copy-paste Cursor prompts for the routine engineering tasks you hit every day: tests, refactors, types, JSDoc, hooks migration, lint fixes, error-copy rewrites, and folder READMEs. Each recipe is constrained to 3-5 lines, must reference the file in context, and must state its expected output, so the recipes themselves stay actionable instead of vague.

The structure works because the four context variables tune the recipes to your actual project rather than leaving you with generic boilerplate. [stack] decides whether the type recipe talks TypeScript or something else, [test_framework] makes the test recipe name the right runner and assertions, [style_rules] keeps the lint recipe inside your linter's conventions, and [priority_tasks] nudges the model to sharpen the recipes your team runs most. The constraint that every recipe stays 3-5 lines, references the file in context, and states its expected output is what keeps each one self-contained instead of drifting into vague suggestions. Because the output is a numbered Markdown list, you can paste the whole thing into a pinned recipe file and reuse it keystroke by keystroke, then refine individual recipes over time as your conventions shift.

When to use it

  • You want a pinned recipe file so routine Cursor work is one paste away.
  • You keep rewriting the same loose prompts for tests and refactors.
  • You are onboarding a team to Cursor and want shared, consistent prompts.
  • You need recipes that reference the current file rather than generic snippets.
  • You are standardising how your team writes types, docs, and error copy.
  • You want self-contained prompts that state their expected output up front.

Example output

You get a numbered Markdown list of eight short recipes, each a tight block of 3-5 lines naming the task, referencing the file in context, and stating what it should return. For example, the test recipe names your runner and asks for coverage of the current file's happy path and edge cases, while the README recipe asks for a folder overview scoped to the files present. It reads like a cheat sheet you drop into a cursor-recipes.md file and copy from, not prose explaining how to write recipes.

Pro tips

  • Set [stack] precisely (language plus framework) so the type and hooks recipes target the right syntax.
  • Match [test_framework] to what is actually installed, or the test recipe will reference the wrong assertions.
  • Put your real linter and formatter in [style_rules] so the lint-fix recipe respects your config.
  • Use [priority_tasks] to push the model to refine the recipes you run most, not all eight equally.
  • Pin the test recipe first; sloppy test prompts cost the most rework.
  • Iterate by pasting one recipe back and asking the model to tighten it after a real run.

Frequently Asked Questions

Does this prompt write the actual code changes, or just the recipes?
It writes the eight reusable recipes, not the final code. You then paste each recipe into Cursor against a specific file, and Cursor produces the working change. Think of the output as a prompt cheat sheet you reuse, not a finished pull request.
Can I change which eight tasks the recipes cover?
The prompt lists a fixed eight (tests, refactor, types, JSDoc, hooks, lint, error copy, README). You can edit the deliverables block to swap in your own tasks, and the `[priority_tasks]` variable already lets you signal which ones matter most to your team.
Will the recipes work outside Cursor, in Claude or ChatGPT?
Yes. The recipes are plain prompts, so they paste into any capable assistant. They are framed for Cursor because that is where they reference the current file in context, but the wording transfers cleanly to other tools.
How specific should I make the [stack] and [test_framework] values?
Be exact, including the framework and language. A vague stack produces generic recipes that miss your syntax, while naming React plus Next.js with TypeScript and Vitest makes the type and test recipes match your real project on the first paste.
Engr Mejba Ahmed

Need this built for real?

Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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Engr Mejba Ahmed

Engr Mejba Ahmed

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