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Code Review

Community
JackyST0
code-review

Smart code review skill that helps review code quality, identify potential issues, and provide improvement suggestions.

Overview

PublisherJackyST0
Repositoryawesome-agent-skills
Skill namecode-review
Stars
651
Forks
145
Bundled files
Instructions only
LicenseCC0-1.0
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 JackyST0 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.
    https://github.com/JackyST0/awesome-agent-skills/tree/main/examples/code-review
  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/JackyST0/awesome-agent-skills.git /tmp/awesome-agent-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-agent-skills/examples/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

智能代码审查技能,帮助审查代码质量、发现潜在问题、提供改进建议。

Smart code review skill that helps review code quality, identify potential issues, and provide improvement suggestions.

When to Use

当用户请求以下操作时使用此 skill:

  • 审查代码 / Review code
  • 检查代码质量 / Check code quality
  • 寻找代码中的问题 / Find issues in code
  • 请求代码改进建议 / Request improvement suggestions

Instructions

审查步骤 / Review Steps

  1. 阅读代码 - 仔细阅读提供的代码
  2. 检查问题:
    • 语法错误 / Syntax errors
    • 逻辑问题 / Logic issues
    • 安全隐患 / Security vulnerabilities
    • 性能问题 / Performance issues
    • 代码风格 / Code style
  3. 提供建议 - 给出具体的改进建议
  4. 输出报告 - 使用标准格式生成审查报告

输出格式 / Output Format

markdown
## 代码审查报告 / Code Review Report

### 概述 / Summary
[简要总结 / Brief summary]

### 发现的问题 / Issues Found
- [ ] 问题 1 / Issue 1
- [ ] 问题 2 / Issue 2

### 改进建议 / Suggestions
1. 建议 1 / Suggestion 1
2. 建议 2 / Suggestion 2

### 评分 / Score
- 代码质量 / Code Quality: X/10
- 可读性 / Readability: X/10
- 可维护性 / Maintainability: X/10

Examples

输入 / Input

python
def calc(x,y):
    return x+y

输出 / Output

代码审查报告

概述

简单的加法函数,存在命名和格式问题。

发现的问题

  • 函数名 calc 不具描述性
  • 缺少类型提示
  • 缺少文档字符串
  • 运算符周围缺少空格

改进建议

  1. 将函数重命名为 add_numbers
  2. 添加类型提示:def add_numbers(x: int, y: int) -> int:
  3. 添加 docstring 说明函数用途
  4. 遵循 PEP 8 格式规范

评分

  • 代码质量: 6/10
  • 可读性: 7/10
  • 可维护性: 5/10

Frequently asked questions

What does the Code Review AI skill do?

Smart code review skill that helps review code quality, identify potential issues, and provide improvement suggestions.

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/JackyST0/awesome-agent-skills/tree/main/examples/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 JackyST0 under the CC0-1.0 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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