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Code Review

CommunityPopular
kyegomez
code-review

Perform comprehensive code reviews focusing on best practices, security vulnerabilities, performance optimization, and maintainability

Overview

Publisherkyegomez
Repositoryswarms
Skill namecode-review
Stars
7.2K
Forks
1K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kyegomez on GitHub. Read the source before you install it.

Installation

Install the Code Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kyegomez/swarms.git /tmp/swarms
mkdir -p .claude/skills
cp -r /tmp/swarms/examples/single_agent/capabilities/skills/code-review .claude/skills/code-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Code Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Code Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Code Review Skill

When reviewing code, follow this systematic approach to ensure thorough evaluation:

Review Checklist

1. Code Quality

  • Readability: Is the code easy to understand?
  • Naming: Are variables, functions, and classes well-named?
  • Structure: Is the code properly organized and modular?
  • Comments: Are complex sections adequately documented?
  • Complexity: Are there overly complex functions that should be simplified?

2. Security Analysis

Check for common vulnerabilities:

  • SQL injection vulnerabilities
  • XSS (Cross-Site Scripting) vulnerabilities
  • Authentication and authorization flaws
  • Insecure data handling (passwords, sensitive data)
  • Input validation and sanitization
  • OWASP Top 10 vulnerabilities

3. Performance Considerations

  • Identify potential bottlenecks
  • Check for inefficient algorithms or data structures
  • Look for unnecessary database queries or API calls
  • Evaluate caching opportunities
  • Assess memory usage patterns

4. Best Practices

  • DRY Principle: Eliminate code duplication
  • SOLID Principles: Verify adherence to design principles
  • Error Handling: Check for proper exception handling
  • Testing: Evaluate test coverage and quality
  • Dependencies: Review external dependencies and their versions

5. Maintainability

  • Is the code easy to modify and extend?
  • Are there proper abstractions?
  • Is the architecture scalable?
  • Are there technical debt concerns?

Review Format

Structure your review as follows:

  1. Summary: High-level overview of the changes
  2. Critical Issues: Security vulnerabilities or bugs that must be fixed
  3. Major Concerns: Significant issues affecting quality or performance
  4. Suggestions: Optional improvements and best practices
  5. Positive Feedback: Acknowledge good practices and improvements

Guidelines

  • Be constructive and respectful
  • Provide specific examples and suggestions
  • Explain the "why" behind recommendations
  • Prioritize issues by severity (critical, major, minor)
  • Reference documentation or standards when applicable
  • Consider the context and constraints of the project

Example Reviews

Security Issue:

CRITICAL: SQL injection vulnerability detected at line 45
Current: f"SELECT * FROM users WHERE id = {user_id}"
Recommendation: Use parameterized queries to prevent SQL injection

Performance Suggestion:

SUGGESTION: Consider caching database results at line 123
The same query is executed multiple times in the loop. Cache the results
to improve performance by ~80%.

Frequently asked questions

What does the Code Review AI skill do?

Perform comprehensive code reviews focusing on best practices, security vulnerabilities, performance optimization, and maintainability

Why use Code Review on TypingMind?

Because you install it once and use it with any model. Code Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Code Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kyegomez/swarms/tree/master/examples/single_agent/capabilities/skills/code-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Code Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Code Review?

As many as you like. As long as a model supports skills, you can use Code Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Code Review AI skill free?

Yes. It is published on GitHub by kyegomez under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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