CLI

Tags for prompts and rules designed for use with Amazon Q Developer CLI

19 prompts
10 project rules

Related Prompts

Java Heap Dump analysis

Analyzed and summarized an Eclipe MAT report with clear, actionable insights.

2 times copied
Professional Speaking Coach Feedback Generator

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.

3 times copied
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Project Intelligence

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.

121 times copied
Copy data from DynamoDB across accounts

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

5 times copied
React Component Documentation

Analyzes a React-based application and generates documentation visualizing the component hierarchy, component relationships, and key component metadata.

5 times copied
Automated Code Review

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

28 times copied
Github Pull Requests

Automate the creation of Github pull requests.

4 times copied
Create User Personas

Generates realistic user personas based on your existing documentation or customer descriptions.

4 times copied
Prompt to send Q CLI Chat to do research on recent libraries for you.

Prompt to send Q CLI Chat to do research on recent libraries for you.

2 times copied
Parameterize Like a Pro: Generating JUnit 5 Tests"

Generate comprehensive JUnit 5 tests for the selected Java code/function/class using best practices and design patterns.

23 times copied
Unit test generation

Looking at your code and find new areas that needs to be tested

22 times copied
Independent Thought Challenger

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.

31 times copied
Git commit message

Writes a git commit message using information about your current git repository and staged changes.

2 times copied

Let Amazon Q create an implementation plan as a sequence of prompts that can be executed to implement a feature or task.

52 times copied

This prompt assists you to calculate costs for your workload using up-to-date pricing information from the AWS service websites.

23 times copied
Analyze Bash History

Learn from sketchy things you did in your CLI in the past and their risks

2 times copied
Conventional Commit Messages

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

38 times copied
Setup shell from .zshrc

Use the CLI to install all your development tools from a .zshrc file. Without it, the manual setup would have taken hours. The CLI completes the task in minutes.

2 times copied

Let Amazon Q prepare your Well-Architected Review, based on an analysis of a provided Cloudformation template

21 times copied

Related Project Rules

CDK Typescript 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.

CDK Project Structure

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.

CDK Security and Compliance

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.

Amplify Authentication

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

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.

CDK Design Patterns

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.

Project Intelligence

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".

CDK Construct Development

Outlines best practices for developing AWS CDK constructs. Following these guidelines will ensure that constructs are reusable, maintainable, and follow AWS best practices.

Amplify Data Modeling

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

Next.js rules used to build promptz.dev