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- 🚅
Structured Community Forum Setup
Illustrates structuring a prompt with Context, Task, Guidelines, and Constraints for building a community forum page., provided under the MIT license
PromptHub
- 🌏
Staring a new project example: Task Manager
Example prompt for starting a new task management project, specifying tech stack, features, and the initial dashboard elements., provided under the MIT license
PromptHub - 🚋
Example new project: Quiz Platform Requirements
Example of listing all key requirements (platforms, roles, features, scale, design) upfront for a new quiz platform project., provided under the MIT license. Source:https://shorturl.at/cRvjy
PromptHub - 🌷
Specific UI Styling
Demonstrates being specific about UI design ('dark theme, frosted-glass cards') instead of vague ('make it look nice')., provided under the MIT license
PromptHub - 🚗
Constrain model to just UI updates
Prompt for improving UI appearance (styling, layout) while explicitly constraining the AI not to change functionality or data flow., provided under the MIT license
PromptHub - 💭
Constraint Examples for AI app builders (Bolt, Lovable, V0 etc)
Illustrates adding constraints like scope limits ('focus only on...'), performance limits ('at most 4 API calls'), tech constraints ('Do not use paid libraries'), or non-modification ('do not change the UI'). This CSV uses one example in the prompt field., provided under the MIT license
PromptHub - 🚌
Lovable Prompt Library - New Task Manager
Example from Lovable's library for starting a task management project (specifies stack, features, initial page). Identical to 'New Task Manager Dashboard'., provided under the MIT license
PromptHub - 🎀
Lovable Prompt Library Example - UI Only Changes
Example from Lovable's library for making purely cosmetic UI updates without altering functionality. Identical to 'Cosmetic UI Update with Constraints'., provided under the MIT license
PromptHub - 🚁
Lovable Prompt Library example - Mobile Responsiveness
Example from Lovable's library for making an app fully responsive using a mobile-first strategy, without changing core functionality., provided under the MIT license
PromptHub - 🚤
Lovable Prompt Library example - Refactoring Component
Example from Lovable's library for refactoring a specific component file for clarity and maintainability, keeping behavior and UI identical., provided under the MIT license
PromptHub - 🚈
Lovable Prompt Library Example - Planning Feature Implementation
Example from Lovable's library asking the AI to plan the implementation steps for a new feature *before* writing code., provided under the MIT license
PromptHub - 👮
Debugging no-code app tools like Bolt, Lovable, V0 - Reverse Meta Prompting
Debugging technique: Ask AI to summarize resolved issues and generate a reusable prompt for future use., provided under the MIT license
PromptHub - 🌏
Debugging no-code app tools like Bolt, Lovable, V0 - Safe Approach Update
Debugging technique: Instruct the AI to proceed with caution when modifying critical parts of the app, specifying careful checks and avoiding side effects., provided under the MIT license
PromptHub - 🛬
Debugging no-code app tools like Bolt, Lovable, V0 - Handling Persistent Errors
Debugging strategies for persistent errors: Ask what's been tried, explain the error simply, ask for alternative approaches, or revert.
PromptHub - 🦭
Debugging no-code app tools like Bolt, Lovable, V0 - Codebase Audit Request
Debugging technique: Ask the AI to perform a read-only audit of the entire codebase for structure, modularity, and potential improvements., provided under the MIT license
PromptHub - 🛹
Debugging no-code app tools like Bolt, Lovable, V0 - Performance Optimization Analysis
Debugging technique: Ask the AI to analyze the project for performance bottlenecks (DB/network calls, rendering, assets) and suggest optimizations without coding., provided under the MIT license
PromptHub