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code-reviewer

Analyzes pull requests and codebases to generate quality reports and review checklists.

Updated Jul 7, 2026
Search Tags:#code quality#static analysis#code review#best practices#pull request#python#review report
One-click install
npx skills add https://github.com/singhaganesh/Urban-assist --skill code-reviewer-singhaganesh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/singhaganesh/Urban-assist/tree/main/.cursor/skills/code-reviewer
Command: npx skills add https://github.com/singhaganesh/Urban-assist --skill code-reviewer-singhaganesh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Manual code reviews are time-consuming and inconsistent, making it hard to enforce quality standards, catch security issues, and document feedback across pull requests in TypeScript, JavaScript, Python, Go, Swift, and Kotlin projects. ## Core Features & Use Cases - PR Analysis: Run the pr_analyzer.py script against a project path to inspect pull request changes and surface findings. - Code Quality Checking: Execute code_quality_checker.py on any target directory to validate code against best practices, with verbose and JSON output options. - Review Report Generation: Use review_report_generator.py to produce structured review reports summarizing findings for teams. - Use Case: Before merging a pull request in a Next.js or Node.js repository, run the quality checker on the changed code, then generate a review report and cross-reference the checklist in references/code_review_checklist.md to ensure nothing was missed. ## Quick Start Ask the assistant to review the code in your project directory and generate a code quality report with findings and recommendations.

Frequently Asked Questions about code-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run an automated code review on a pull request?▼

Run the pr_analyzer.py script with the target project path as an argument, for example python scripts/pr_analyzer.py ./my-project. Add the --verbose flag for detailed output or --json to get machine-readable results.

How to check code quality for Python and TypeScript projects?▼

Use the code_quality_checker.py script pointed at your project directory. It validates the target path, runs analysis, and prints a report of findings, supporting languages including Python, TypeScript, JavaScript, Go, Swift, and Kotlin.

What programming languages does this code review skill support?▼

The skill covers TypeScript, JavaScript, Python, Go, Swift, and Kotlin, along with frameworks like React, Next.js, Node.js, and Express. Reference documents describe standards applicable across these stacks.

Can I export code review results as JSON?▼

Yes, each script supports a --json flag to output results as JSON and an --output option to write the results to a file. This makes it easy to integrate review findings into CI pipelines or other tooling.

Why does the code quality checker report zero findings?▼

The scripts currently perform target validation and report scaffolding, so the findings list may be empty until analysis rules are extended. Verify the target path exists and use --verbose to confirm each execution stage completes.

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