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DennisToma
DennisTomaCOMMUNITY
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code-review

Analyze code diffs to detect AI patterns, anti-patterns, and convention violations.

Updated Aug 27, 2026
Search Tags:#anti-patterns#conventions#code-review#pull-request#ai-patterns#diff-analysis
One-click install
npx skills add https://github.com/DennisToma/repo_example --skill code-review-dennistoma
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/DennisToma/repo_example/tree/main/.claude/skills/code-review
Command: npx skills add https://github.com/DennisToma/repo_example --skill code-review-dennistoma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps reviewers spot AI-generated patterns, anti-patterns, and violations of project conventions in code changes, improving code quality before merge.

Core Features & Use Cases

  • Anti-pattern detection: Flag patterns that resemble AI-generated code or unnecessary over-engineering.
  • Conformance checks: Verify adherence to project style, naming conventions, and established patterns across diffs.
  • PR-review utility: Provide a concise, actionable report for commits and pull requests, highlighting issues and suggested fixes.

Quick Start

Review the diff of the current PR and return a structured report detailing AI-patterns, anti-patterns, and conformance issues.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I detect AI-generated patterns in a pull request diff?▼

To detect AI-generated patterns in a pull request diff, you can analyze the code changes to flag AI-generated code, anti-patterns, and convention violations. The skill outputs a structured report detailing issues and suggested fixes for rapid feedback during reviews.

What is the best way to check code conformance to project conventions in commits?▼

Checking code conformance to project conventions in commits involves verifying adherence to project style, naming conventions, and established patterns across diffs. This process highlights conformance issues and provides actionable suggestions for fixes before merging.

Can I review diffs across multiple programming languages for anti-patterns?▼

Yes, you can review diffs across multiple programming languages for anti-patterns. The analysis applies to code changes in pull requests and commits across languages, identifying unnecessary over-engineering and AI-generated patterns regardless of the specific programming language.

How do I get a structured report of convention violations in my code changes?▼

To get a structured report of convention violations in your code changes, you review the diff of the current pull request or commit. The analysis returns a concise, actionable report detailing AI-patterns, anti-patterns, and conformance issues with suggested fixes.

Does code review for AI patterns flag unnecessary over-engineering?▼

Yes, code review for AI patterns flags unnecessary over-engineering. The analysis specifically identifies patterns that resemble AI-generated code or unnecessary over-engineering, helping reviewers spot these issues and improve overall code quality before merge.

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