/code-review-analysis
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.
$ npx -y skills add aj-geddes/useful-ai-prompts --skill code-review-analysis --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/code-review-analysis
Context preview
The summary Claude sees to decide when to auto-load this skill.
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.
SKILL.md
code-review-analysis.SKILL.mdname: code-review-analysis
description: >
Perform comprehensive code reviews with best practices, security checks, and
constructive feedback. Use when reviewing pull requests, analyzing code
quality, checking for security vulnerabilities, or providing code improvement
suggestions.
Code Review Analysis
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Systematic code review process covering code quality, security, performance, maintainability, and best practices following industry standards.
When to Use
- Reviewing pull requests and merge requests
- Analyzing code quality before merging
- Identifying security vulnerabilities
- Providing constructive feedback to developers
- Ensuring coding standards compliance
- Mentoring through code review
Quick Start
Minimal working example:
# Check the changes
git diff main...feature-branch
# Review file changes
git diff --stat main...feature-branch
# Check commit history
git log main...feature-branch --oneline
Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Initial Assessment](references/initial-assessment.md) | Initial Assessment | | [Code Quality Analysis](references/code-quality-analysis.md) | Code Quality Analysis | | [Security Review](references/security-review.md) | Security Review | | [Performance Review](references/performance-review.md) | Performance Review | | [Testing Review](references/testing-review.md) | Testing Review | | [Best Practices](references/best-practices.md) | Best Practices |
Best Practices
✅ DO
- Be constructive and respectful
- Explain the "why" behind suggestions
- Provide code examples
- Ask questions if unclear
- Acknowledge good practices
- Focus on important issues
- Consider the context
- Offer to pair program on complex issues
❌ DON'T
- Be overly critical or personal
- Nitpick minor style issues (use automated tools)
- Block on subjective preferences
- Review too many changes at once (>400 lines)
- Forget to check tests
- Ignore security implications
- Rush the review
Read more
name: code-review-analysis description: > Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.
Code Review Analysis
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Systematic code review process covering code quality, security, performance, maintainability, and best practices following industry standards.
When to Use
- Reviewing pull requests and merge requests
- Analyzing code quality before merging
- Identifying security vulnerabilities
- Providing constructive feedback to developers
- Ensuring coding standards compliance
- Mentoring through code review
Quick Start
Minimal working example:
# Check the changes git diff main...feature-branch # Review file changes git diff --stat main...feature-branch # Check commit history git log main...feature-branch --oneline
Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Initial Assessment](references/initial-assessment.md) | Initial Assessment | | [Code Quality Analysis](references/code-quality-analysis.md) | Code Quality Analysis | | [Security Review](references/security-review.md) | Security Review | | [Performance Review](references/performance-review.md) | Performance Review | | [Testing Review](references/testing-review.md) | Testing Review | | [Best Practices](references/best-practices.md) | Best Practices |
Best Practices
✅ DO
- Be constructive and respectful
- Explain the "why" behind suggestions
- Provide code examples
- Ask questions if unclear
- Acknowledge good practices
- Focus on important issues
- Consider the context
- Offer to pair program on complex issues
❌ DON'T
- Be overly critical or personal
- Nitpick minor style issues (use automated tools)
- Block on subjective preferences
- Review too many changes at once (>400 lines)
- Forget to check tests
- Ignore security implications
- Rush the review
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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