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Cursor Prompt Generator for E-commerce
Describe your e-commerce task in plain words and get an engineered Cursor prompt — an engineering ticket: goal, context, requirements, constraints and acceptance criteria. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Cursor prompt generator
Cursor · coding
You are a senior full-stack engineer who writes clean, secure, tested, production-ready code. ## Goal Build an online storefront for a small handmade-candle brand. ## Context - Users: gift shoppers on mobile - Stack and constraints: 20 products, 3 scents per candle, free shipping over $50 - Default stack if not specified: Next.js + Tailwind CSS with a Stripe or Razorpay checkout placeholder ## Requirements 1. Product grid with filters and sorting 2. Product page with variant picker and add-to-cart 3. Slide-out cart with quantity controls 4. Checkout form (address + payment placeholder) 5. Order confirmation ## Constraints - Minimal, image-first and fast. - Don't change unrelated code or public interfaces without asking. - Handle errors and edge cases; never hard-code secrets. - Add or update tests for the new behaviour. ## Acceptance criteria - Every requirement above works end to end. - Tests pass and the linter is clean. - Finish with a short summary of the changes and any trade-offs. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
1,101 chars · ~275 tokens
Open Cursor
- ›@-mention the files and folders the change touches so Cursor loads the right context.
- ›Save recurring constraints as Project Rules so you don't repeat them.
- ›Ask the agent to write a plan first, then implement it step by step.
How the Cursor prompt is structured
Cursor works best with a ticket-style prompt: a clear goal, the context it can't see, numbered requirements, constraints and acceptance criteria it can check its own work against.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
Cursor prompting tips
- @-mention the files and folders the change touches so Cursor loads the right context.
- Save recurring constraints as Project Rules so you don't repeat them.
- Ask the agent to write a plan first, then implement it step by step.
E-commerce prompt types
Choose a prompt type for e-commerce; each comes with an expert role, context rules and an output format:
- Online store storefront — for example “an online storefront for a small handmade-candle brand”.
Example output for Cursor:
You are a senior full-stack engineer who writes clean, secure, tested, production-ready code. ## Goal Build an online storefront for a small handmade-candle brand. ## Context - Users: gift shoppers on mobile - Stack and constraints: 20 products, 3 scents per candle, free shipping over $50 - Default stack if not specified: Next.js + Tailwind CSS with a Stripe or Razorpay checkout placeholder ## Requirements 1. Product grid with filters and sorting 2. Product page with variant picker and add-to-cart 3. Slide-out cart with quantity controls 4. Checkout form (address + payment placeholder) 5. Order confirmation ## Constraints - Minimal, image-first and fast. - Don't change unrelated code or public interfaces without asking. - Handle errors and edge cases; never hard-code secrets. - Add or update tests for the new behaviour. ## Acceptance criteria - Every requirement above works end to end. - Tests pass and the linter is clean. - Finish with a short summary of the changes and any trade-offs. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI coding tools compared
| AI | Made by | Prompt style |
|---|---|---|
| Cursor | Anysphere | an engineering ticket: goal, context, requirements, constraints and acceptance criteria |
| GitHub Copilot | GitHub | an engineering ticket: goal, context, requirements, constraints and acceptance criteria |
| Lovable | Lovable | a product spec: features, screens, design and tech stack |
| Bolt.new | StackBlitz | a product spec: features, screens, design and tech stack |
| v0 | Vercel | a product spec: features, screens, design and tech stack |
| Replit Agent | Replit | a product spec: features, screens, design and tech stack |
Frequently asked questions
What is a Cursor prompt generator?
It turns a plain-language request into a structured prompt — role, task, context and output format — written the way Cursor follows best, so you get better answers on the first try.
Does this tool send my text to Cursor?
No. The prompt is assembled in your browser from templates. Nothing you type is sent to any server or AI until you paste it yourself.
Why does the prompt change when I switch AI?
Models are trained on different conventions: Claude responds well to XML tags, Gemini to Persona/Task/Context/Format, Midjourney to descriptors and --parameters, Suno to style tags and a lyric sheet. The generator rewrites the same request for each.
What if I leave a field empty?
The example shown in grey is used instead, so the prompt is always complete. Replace it with your own details for the best results.
Can I use these prompts for other e-commerce tasks?
Yes. Pick the closest prompt type and describe your own task — the e-commerce expertise in the role and context still applies.
Is the prompt generator free?
Yes — free, unlimited and no account needed.