CLI
Tags for prompts and rules designed for use with Amazon Q Developer CLI
Related Prompts
Transforms Amazon Q into a speaking coach that analyzes presentation videos, providing detailed feedback on delivery, body language, and content structure. Creates multiple analysis files including comprehensive feedback, timestamp-specific notes, talk structure outline, and a personalized scorecard based on your experience level. Organizes outputs for easy reference and future analyses.
The project intelligence documentation system transforms Amazon Q Developer from a stateless assistant into a persistent development partner by providing comprehensive context about your application.
Analyzes a React-based application and generates documentation visualizing the component hierarchy, component relationships, and key component metadata.
Transforms Amazon Q into a critical thinking partner that challenges your ideas instead of simply agreeing. The AI questions your assumptions, offers skeptical viewpoints, checks your reasoning for flaws, suggests alternative perspectives, and prioritizes accuracy over agreement. Perfect for refining arguments, avoiding confirmation bias, and developing more robust thinking.
Let Amazon Q create an implementation plan as a sequence of prompts that can be executed to implement a feature or task.
This prompt assists you to calculate costs for your workload using up-to-date pricing information from the AWS service websites.
Let Amazon Q prepare your Well-Architected Review, based on an analysis of a provided Cloudformation template
Related Project Rules
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.
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.
Outlines best practices for testing AWS CDK applications. Testing is a critical aspect of CDK development to ensure that infrastructure is deployed correctly and behaves as expected. Following these guidelines will help create reliable, maintainable, and well-tested infrastructure code.
Outlines recommended design patterns for AWS CDK development. Design patterns are reusable solutions to common problems in software development. Following these patterns will ensure consistency, maintainability, and scalability across the codebase. The patterns described here are particularly relevant for AWS CDK development.
The project intelligence documentation system transforms Amazon Q Developer from a stateless assistant into a persistent development partner by providing comprehensive context about your application across various sessions. Once the rule was added to your repository, you can ask Q Developer to initialize the project intelligence with "Initialize Project Intelligence". If already in place, you can force an update by asking Q "Update Project Intelligence".
Outlines best practices for developing AWS CDK constructs. Following these guidelines will ensure that constructs are reusable, maintainable, and follow AWS best practices.
Next.js rules used to build promptz.dev
Helps Q Developer to optimize the creation of end-to-end tests for playwright. Main source for these rules are the best practices listed at the official playwright documentation.