What is the difference between Driver and Navigator modes?

In Driver mode, you write the code while the AI provides strategic guidance and review; in Navigator mode, the AI generates the code based on your high-level architectural direction.

Can I use this for existing projects?

Yes, it integrates with Git and standard testing frameworks like Jest or pytest, making it suitable for both new feature development and legacy codebase refactoring.

How does the Switch mode work?

Switch mode automatically alternates roles between you and the AI at set intervals (e.g., every 10 minutes), providing countdown warnings and context summaries for smooth handoffs.

Does it support security and performance checks?

Yes, the skill includes specialized commands like /security and /perf that perform deep analysis of your code to identify vulnerabilities and bottlenecks.

AI Pair Programming

Name: AI Pair Programming
Author: Activer007

byActiver007

Collaboration Tools

Facilitates professional AI-assisted pair programming sessions with intelligent role management, real-time quality verification, and automated testing workflows.

About

This skill transforms Claude into a sophisticated development partner, offering dedicated modes for driving, navigating, and mentoring. It streamlines the collaborative coding process through automatic role switching, continuous code review, and integrated Test-Driven Development (TDD) workflows. Whether you are debugging complex issues, learning new architectural patterns, or rapidly prototyping features, this skill ensures code quality through real-time truth-score verification and comprehensive performance and security scanning.

Key Features

Integrated Test-Driven Development (TDD) and automated test generation
Real-time code review, security scanning, and performance optimization
Intelligent role management with Driver, Navigator, and Switch modes
Session persistence with auto-save, recovery, and productivity metrics
0 GitHub stars
Specialized expert agents for debugging, refactoring, and mentoring

Use Cases

Collaborative feature development where roles alternate between human and AI for balanced input
Implementing high-coverage codebases using strictly enforced TDD workflows and automated verification
Mentoring and educational sessions through guided coding and step-by-step architectural explanations

About

Key Features

Integrated Test-Driven Development (TDD) and automated test generation
Real-time code review, security scanning, and performance optimization
Intelligent role management with Driver, Navigator, and Switch modes
Session persistence with auto-save, recovery, and productivity metrics
0 GitHub stars
Specialized expert agents for debugging, refactoring, and mentoring

Use Cases

Collaborative feature development where roles alternate between human and AI for balanced input
Implementing high-coverage codebases using strictly enforced TDD workflows and automated verification
Mentoring and educational sessions through guided coding and step-by-step architectural explanations