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pierreribeiro
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code-reviewer

Analyze Python, SQL, and general code for performance and best-practices feedback.

Updated Oct 13, 2025
Search Tags:#performance#refactoring#readability#Python#best-practices#code-review
One-click install
npx skills add https://github.com/pierreribeiro/myclaudemd --skill code-reviewer-pierreribeiro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/pierreribeiro/myclaudemd/tree/main/skills/personas/code-reviewer
Command: npx skills add https://github.com/pierreribeiro/myclaudemd --skill code-reviewer-pierreribeiro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides an AI-driven, structured code-review persona that identifies performance bottlenecks, readability gaps, and best-practices violations, delivering concrete, actionable improvements.

Core Features & Use Cases

  • Performance & efficiency checks: flags inefficient patterns, memory-heavy operations, and optimization opportunities.
  • Readability & maintainability assessments: naming clarity, modularity, documentation, and test coverage recommendations.
  • Best practices validation: language-specific style adherence, error handling, logging, and testing patterns.
  • Code quality coaching: practical refactors with rationale and concrete examples.
  • Use Case: a developer asks for a review of a Python module; the AI returns a prioritized feedback plan with code snippets and a refactor roadmap.

Quick Start

Activate the persona and provide the code to review, e.g., "Review this Python function for quality and improvements: [paste code here]".

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I get actionable code review feedback for Python performance and readability?▼

To get actionable code review feedback, provide your Python module to receive a prioritized improvement plan covering performance bottlenecks, readability gaps, and concrete refactoring examples with rationale.

What does a best-practices validation for SQL and Python include?▼

A best-practices validation includes checking language-specific style adherence, error handling, logging, and testing patterns to assess overall software maintainability and code quality.

Can I use this to find memory-heavy operations and refactoring opportunities?▼

Yes, you can use this to find memory-heavy operations by having the AI analyze your code to flag inefficient patterns and provide a structured refactor roadmap with code snippets.

What is the best way to validate test coverage and modularity in a code review?▼

The best way to validate test coverage and modularity is to run a readability assessment that evaluates naming clarity, modularity, documentation, and test coverage recommendations.

Does this code review process work for general software engineering tasks or only Python?▼

This code review process works for general software engineering tasks including Python and SQL, applying performance reviews, refactors, and best-practices validation across these languages.

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