lilnas-code-review

Automated code review for correctness and maintainability is handled by running the skill with a specific prompt to analyze changes against project standards. It identifies issues across testing, security, and performance, then generates a summary with next-step recommendations.

Running an automated code review requires git, gh, jq, nvm, pnpm, and bash installed in your environment. These tools facilitate repository interaction, package management, and script execution to analyze codebase changes effectively.

Yes, the code review supports conditional reviewers for specialized checks including TypeScript, frontend races, security, performance, API contracts, and adversarial testing. This ensures thorough analysis across different technical domains within the codebase.

To initiate a code review, execute the command with a prompt specifying the scope or changes you want reviewed. The skill processes the provided prompt to analyze the targeted codebase modifications and output a detailed review summary.

The best way to ensure changes adhere to project standards is to run an automated code review that checks for correctness, testing, and maintainability. It evaluates modifications against established rules and provides actionable recommendations.

Yes, you can use this code review tool for checking API contracts and reliability. It includes conditional reviewers specifically designed to evaluate API contracts, reliability, equations security, and code simplicity.