#Implement

Let Q do a code review of your staged files before committing and pushing your changes.

Commit you changes to git with a meaningful commit message following conventional commit specification.

This prompt creates a shell script to copy data from a target DynamoDB table to a source table.

For a given selection of code, provide useful documentation to help others understand your code

This will generate ready to use python code using external libraries

Creates a Lambda layer zip file, given a list of Python libraries. Checks for vulnerabilities.

Prompt that instructs Q to behave in certain way when I use 'PYTHONEXPERT' keyword

Take the QR code from the clipboard and convert it to a URL.

Amazon Q Developer operates more quickly, more accurately, and consistently when properly configured with information it can load quickly. This prompt instructs Q to learn from your project and create context-efficient files that give Q just what it needs, with references to load-on-demand details based on the interaction.

Project rules to steer Amazon Q Developer for all things related to implementing authentication with AWS Amplify Gen2

Project rules to tune Amazon Q Developer in all things related to data modeling and modeling relationships with AWS Amplify Gen2

This document outlines the recommended project structure for AWS CDK applications. A well-organized project structure is critical for maintainability, scalability, and developer onboarding. Following these guidelines will ensure consistency across the codebase and make navigation easier as the project grows.

Outlines security and compliance best practices for AWS CDK applications. Security is a critical aspect of infrastructure as code, and following these guidelines will help ensure that your CDK applications are secure, compliant, and follow AWS best practices.

TypeScript best practices for AWS CDK development. Following these guidelines will ensure type safety, code consistency, and maintainability across the codebase. TypeScript's static typing capabilities help catch errors early in the development process and provide better tooling support.

Empowers Amazon Q Developer to maintain Kiro specifications to apply spec-driven developmen the Kiro way.

Next.js rules used to build promptz.dev

Reverse-Engineered Xcode's Coding Intelligence prompt to be used as Amazon Q Developer Projet Rule

Enable effective collaboration between product teams, engineering teams, and AI agents. The goal is to make all engineers within a team leverage spec-driven development following the standards of Kiro in any IDE.

Create frontend experiences following TDD based on Next.js, tailwind, and shadcn that are blazing fast, accessible to all users, and delightful to interact with. The agent is designed to use the github CLI and project-intelligence concept of promptz.dev. Adjust the system prompt to your needs if your tooling or documentation concept differs.