From Wikiprompt, the free prompt encyclopedia
Wikiprompt is a collaborative encyclopedia of AI prompts, featuring curated templates for various AI tools including ChatGPT, Midjourney, DALL-E, Claude, and more. It contains 3213 prompts by 225 community members.
All, Creative, Marketing, Business, Productivity, Coding, Education, Personal, Research, Other
All, GPT Image 2 (800), ChatGPT (298), Model-agnostic (247), Seedance 2.0 (242), Nano Banana Pro (226), Gemini Nano Banana (210), Gemini Nano Banana Pro (182), Grok Imagine (83), Claude (61), Gemini (44), Midjourney v7 (29), Nano Banana 2 (27), Veo 3 (25), Gemini Nano Banana 2 (24), GPT Image 1.5 (24), Midjourney (21), NotebookLM (20), Midjourney v8.1 (14), ChatGPT / Gemini (12), Kling AI 3.0 Turbo (12)
All, cinematic (198), photorealistic (115), editorial (106), portrait (96), commercial (39), fashion (38), minimalist (31), studio (31), luxury (30), product-photography (29), lifestyle (28), golden-hour (26), surreal (25), miniature (23), infographic (21), 3d-render (20), poster (20), candid (19), monochrome (19), macro (18)
All, Creative generation (2567), Template (321), One-shot (226), System prompt (50), Workflow (39), Persona (6), Agent (3)
8 prompts
A pre-mortem prompt that assumes a feature has already failed and works backwards to surface adoption, technical, second-order and business risks before you build it. Great for product decisions with …
A comprehensive system prompt that transforms AI into a disciplined senior software engineer for collaborative coding sessions with human oversight.
Creates a professional split-screen image showing detailed engineering blueprints alongside realistic aerial photography of any stadium.
Generate a complete API design document including endpoints, request/response schemas, error handling, authentication, and OpenAPI specification.
Get detailed, actionable code reviews like you would from a senior engineer. Covers security, performance, maintainability, and best practices.
Analyze and optimize slow database queries. Get detailed explanations of query plans, indexing strategies, and performance improvements.
Design a comprehensive error handling strategy for your application. Includes error types, logging, user messaging, and recovery strategies.
Generate comprehensive Architecture Decision Records (ADR) for your tech stack choices. Perfect for documenting why you chose specific technologies.