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

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.

Generates a mermaid application flow diagram as code to visualize/document the design of your application

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.

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

Generates a mermaid class diagram as code to visualize/document the design of your application

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

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

Create a project diagram using PlantUML and C4 Model for your project based in your codebase

Automate the creation of Github pull requests.

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

Requirement from client user to github issue, with step function and lambda

Turn Amazon Q Developer into an AWS Solutions Architect that guides you to create a solution design document.

Let Amazon Q Developer act as a Senior Engineer with deep experience in a defined area, asking clarifying questions instead of jumping into conclusions.

The prompt is useful for generating catchy titles

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

Security review.

To generate permutations of data using a sample response. This specific example has an array of a complex object type in its response

Generates a drawio architecture diagram to visualize/document the design of your application

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

Adding unit tests for the code in the page

Add comprehensive JUnit5 Parameterized Tests

Before starting a task, you want to make sure that Amazon Q knows about important project documentation generated by cline.

Q&A Prompting that helps Amazon Q Developer giving you a recommendation about best practices on how to structure your project.

generate functional test for a UI page that is built using a react framework

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.

Update Amazon Q Knowledge of a given project

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

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.

Generates recommandations to improve my application with well architected best practices

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

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

Given an ADR template, provide context so Q can quickly generate the ADR

Use Amazon Q Developer to assist you in creating a step-by-step specification for a feature idea.

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.

This prompt guides you through the process of refactoring Java 17 code to improve its quality, readability, and performance. It covers various aspects of code improvement, from basic cleanup to advanced optimization techniques.

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

Generates a mermaid sequence diagram as code to visualize/document the design of your application

Frontend React Tailwind Vitests Good practices Senior Developer

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.

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