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talhayilmazai
talhayilmazaiCOMMUNITY
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GitHub

pr-reviewer

Audits pull-request diffs for guideline compliance and detects anti-patterns.

Updated Aug 23, 2026
Search Tags:#performance#anti-patterns#pull request#code audit#data-engineering#pr-review
One-click install
npx skills add https://github.com/talhayilmazai/ai-agent-in-customer-repository --skill pr-reviewer-talhayilmazai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-reviewer
Source: https://github.com/talhayilmazai/ai-agent-in-customer-repository/tree/main/.cursor/skills/prReview
Command: npx skills add https://github.com/talhayilmazai/ai-agent-in-customer-repository --skill pr-reviewer-talhayilmazai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineering teams automatically review code changes against project guidelines, best practices, and anti-patterns to catch issues before they merge.

Core Features & Use Cases

  • Automated PR auditing: Evaluate diffs for compliance with coding standards, data engineering best practices, and performance considerations.
  • Anti-pattern detection: Flag hardcoding, brittle patterns, and unsafe constructs in data pipelines and code changes.
  • Use Case: When a PR introduces changes to a data processing job, run this review to surface violations and recommended fixes prior to merge.

Quick Start

Run the pr-reviewer on a new PR diff and review the report highlights and suggested fixes.

Frequently Asked Questions about pr-reviewer

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

FAQPage Schema
How do I automate pull request reviews for data engineering pipelines?▼

Automating pull request reviews evaluates code diffs against project guidelines to detect anti-patterns like hardcoding and performance issues before merge. This enforces best practices and data engineering standards.

What anti-patterns should a code audit catch in a data pipeline pull request?▼

A code audit for data pipeline pull requests should catch anti-patterns including hardcoding, brittle constructs, and performance issues. Detecting these silent killers ensures safe data processing jobs.

How do I enforce mandatory metadata and architecture headers in a PR review?▼

To enforce mandatory metadata and architecture headers in a PR review, use a config-driven workflow. This checks diffs for mandatory ABOUTME headers and ensures configuration changes reflect project metadata.

Does automated PR review work without external dependencies?▼

Yes, automated PR review works without external dependencies. It operates directly on code changes and diffs within pull requests to surface violations and recommended fixes prior to merge.

Can I detect AI Slop patterns when reviewing a pull request diff?▼

You can detect AI Slop patterns when reviewing a pull request diff through anti-pattern detection. This config-driven workflow flags AI Slop and ensures compliance with coding standards.

When should I run an automated code audit on my pull request?▼

You should run an automated code audit on your pull request when changes introduce modifications to data processing jobs. This surfaces violations and recommended fixes prior to merge.

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