Code Review Specialist

Q: 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.

Q: How do I install Code Review Specialist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luongnv89/claude-howto/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.

Q: 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.

Q: 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.

Q: Is the Code Review Specialist AI skill free?

Yes. It is published on GitHub by luongnv89 under the MIT license. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

CommunityPopular

luongnv89

code-review-specialist

Comprehensive code review with security, performance, and quality analysis. Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or performance optimization.

Overview

Publisher	luongnv89
Repository	`claude-howto`
Skill name	`code-review-specialist`
Stars	41.5K
Forks	5.1K
Bundled files	4
License	MIT
Links	Skill source Repository Homepage

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 luongnv89 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/luongnv89/claude-howto.git /tmp/claude-howto
mkdir -p .claude/skills
cp -r /tmp/claude-howto/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.

Code Review Skill

This skill provides comprehensive code review capabilities focusing on:

Security Analysis
- Authentication/authorization issues
- Data exposure risks
- Injection vulnerabilities
- Cryptographic weaknesses
- Sensitive data logging
Performance Review
- Algorithm efficiency (Big O analysis)
- Memory optimization
- Database query optimization
- Caching opportunities
- Concurrency issues
Code Quality
- SOLID principles
- Design patterns
- Naming conventions
- Documentation
- Test coverage
Maintainability
- Code readability
- Function size (should be < 50 lines)
- Cyclomatic complexity
- Dependency management
- Type safety

Reference Files

This skill includes supporting files that you should read when performing reviews:

templates/review-checklist.md — Structured checklist covering security, performance, quality, and testing. Read this file and use it as a guide to ensure no category is missed during review.
templates/finding-template.md — Standard template for documenting individual findings with severity, location, code examples, and impact analysis. Read this file and use its format when reporting issues.
scripts/analyze-metrics.py — Python script that calculates code metrics (function count, class count, average line length, complexity score). Run this on the file under review to gather quantitative data.
scripts/compare-complexity.py — Python script that compares cyclomatic and cognitive complexity between two versions of a file. Run this with the before and after versions when reviewing refactoring changes.

Review Template

For each piece of code reviewed, provide:

Summary

Overall quality assessment (1-5)
Key findings count
Recommended priority areas

Critical Issues (if any)

Issue: Clear description
Location: File and line number
Impact: Why this matters
Severity: Critical/High/Medium
Fix: Code example

Findings by Category

Security (if issues found)

List security vulnerabilities with examples

Performance (if issues found)

List performance problems with complexity analysis

Quality (if issues found)

List code quality issues with refactoring suggestions

Maintainability (if issues found)

List maintainability problems with improvements

Version History

v1.0.0 (2024-12-10): Initial release with security, performance, quality, and maintainability analysis

Last Updated: August 4, 2026 Claude Code Version: 2.1.220 Sources:

https://code.claude.com/docs/en/skills Compatible Models: Claude Fable 5, Claude Opus 5, Claude Sonnet 5, Claude Sonnet 4.6, Claude Opus 4.8, Claude Haiku 4.5

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?

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/luongnv89/claude-howto/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 luongnv89 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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mattpocock

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Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Tdd

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

To Spec

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

To Tickets

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Code Review Skill

Reference Files

Review Template

Summary

Critical Issues (if any)

Findings by Category

Security (if issues found)

Performance (if issues found)

Quality (if issues found)

Maintainability (if issues found)

Version History

Bundled files

Frequently asked questions

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