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Code Review Specialist

CommunityPopular
lhfer
code-review-specialist

综合代码审查 skill,覆盖安全、性能、代码质量和可维护性。Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or performance optimization.

Overview

Publisherlhfer
Repositoryclaude-howto-zh-cn
Skill namecode-review-specialist
Stars
2.3K
Forks
331
Bundled files
4
LicenseMIT
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Code Review Specialist 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/lhfer/claude-howto-zh-cn.git /tmp/claude-howto-zh-cn
mkdir -p .claude/skills
cp -r /tmp/claude-howto-zh-cn/03-skills/code-review-specialist .claude/skills/code-review-specialist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Review Specialist 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 Specialist 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 Specialist 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.

代码审查专家技能(Code Review Specialist Skill)

本 skill 使用 code-review-specialist 名称,避免遮蔽 Claude Code v2.1.146+ 自带的 /code-review 命令。

这个 skill 用于做结构化代码审查,重点关注:

  1. Security Analysis
  2. Performance Review
  3. Code Quality
  4. Maintainability

审查模板

参考文件

这个 skill 自带模板和脚本,做正式审查时应按需读取:

  • templates/review-checklist.md:结构化检查清单,覆盖安全、性能、质量和测试,避免漏掉大类。
  • templates/finding-template.md:单个问题的记录模板,包含严重程度、位置、代码示例和影响分析。
  • scripts/analyze-metrics.py:统计函数数、类数、平均行长和复杂度分数,可用于给审查补充量化依据。
  • scripts/compare-complexity.py:对比两个版本的复杂度,适合审查重构前后的变化。

总结

  • Overall quality assessment
  • Key findings count
  • Recommended priority areas

严重问题

  • Issue
  • Location
  • Impact
  • Severity
  • Fix

按类别列出问题

安全

列出安全漏洞或风险点

性能

列出性能问题与复杂度风险

质量

列出命名、结构、文档和测试问题

可维护性

列出可维护性问题和重构建议

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Code Review Specialist AI skill do?

综合代码审查 skill,覆盖安全、性能、代码质量和可维护性。Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or performance optimization.

Why use Code Review Specialist on TypingMind?

Because you install it once and use it with any model. Code Review Specialist 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 Specialist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lhfer/claude-howto-zh-cn/tree/main/03-skills/code-review-specialist. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Code Review Specialist?

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 Specialist?

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

Is the Code Review Specialist AI skill free?

Yes. It is published on GitHub by lhfer under the MIT 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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