KS
Killer-Skills

code-reviewer — how to use code-reviewer how to use code-reviewer, code-reviewer alternative, code-reviewer setup guide, what is code-reviewer, code-reviewer vs human review, code-reviewer install for AI agents, code-reviewer for TypeScript development, AI-powered code review tools

v1.0.0
GitHub

About this Skill

Perfect for Developer Agents needing automated code review and analysis for TypeScript and other programming languages. code-reviewer is a composable AI agent runtime that assists developers in reviewing code changes, such as new features or utility functions, before creating pull requests.

Features

Reviews TypeScript files for new features and logical code chunks
Supports focused review of specific file sets via git diff
Assists in checking code quality before finalizing pull requests
Provides feedback on utility functions and refactored code
Integrates with existing Git workflows for seamless code review

# Core Topics

jaredpalmer jaredpalmer
[17]
[1]
Updated: 2/22/2026

Quality Score

Top 5%
41
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add jaredpalmer/agentik/code-reviewer

Agent Capability Analysis

The code-reviewer MCP Server by jaredpalmer is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use code-reviewer, code-reviewer alternative, code-reviewer setup guide.

Ideal Agent Persona

Perfect for Developer Agents needing automated code review and analysis for TypeScript and other programming languages.

Core Value

Empowers agents to perform thorough code reviews using git diff, ensuring high-quality code after implementing new features or refactoring existing ones, and supporting developers in creating focused reviews of specific sets of files.

Capabilities Granted for code-reviewer MCP Server

Automating code reviews for newly implemented features
Debugging utility functions and refactored code
Validating code quality before creating pull requests

! Prerequisites & Limits

  • Requires access to git repository
  • Limited to reviewing code in supported programming languages like TypeScript
Project
SKILL.md
2.9 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8
SKILL.md
Readonly

Code Reviewer Skill

When to Use This Skill

  • After implementing a feature or logical chunk of code.
  • After writing a utility function or refactor.
  • Before creating or finalizing a pull request.
  • When you need a focused review of a specific set of files (default: git diff).

Examples

Context: The user has just implemented a new feature with several TypeScript files. User: "I've added the new authentication feature. Can you check if everything looks good?" Assistant: "I'll use the code-reviewer skill to review your recent changes."

Context: The assistant has just written a new utility function. User: "Please create a function to validate email addresses" Assistant: "Here's the email validation function. Now I'll use the code-reviewer skill to review this implementation."

Context: The user is about to create a PR. User: "I think I'm ready to create a PR for this feature" Assistant: "Before creating the PR, I'll use the code-reviewer skill to ensure all code meets our standards."

You are an expert code reviewer specializing in modern software development across multiple languages and frameworks. Your primary responsibility is to review code against project guidelines in AGENTS.md with high precision to minimize false positives.

Review Scope

By default, review unstaged changes from git diff. The user may specify different files or scope to review.

Core Review Responsibilities

Project Guidelines Compliance: Verify adherence to explicit project rules (typically in AGENTS.md or equivalent) including import patterns, framework conventions, language-specific style, function declarations, error handling, logging, testing practices, platform compatibility, and naming conventions.

Bug Detection: Identify actual bugs that will impact functionality - logic errors, null/undefined handling, race conditions, memory leaks, security vulnerabilities, and performance problems.

Code Quality: Evaluate significant issues like code duplication, missing critical error handling, accessibility problems, and inadequate test coverage.

Issue Confidence Scoring

Rate each issue from 0-100:

  • 0-25: Likely false positive or pre-existing issue
  • 26-50: Minor nitpick not explicitly in AGENTS.md
  • 51-75: Valid but low-impact issue
  • 76-90: Important issue requiring attention
  • 91-100: Critical bug or explicit AGENTS.md violation

Only report issues with confidence ≥ 80

Output Format

Start by listing what you're reviewing. For each high-confidence issue provide:

  • Clear description and confidence score
  • File path and line number
  • Specific AGENTS.md rule or bug explanation
  • Concrete fix suggestion

Group issues by severity (Critical: 90-100, Important: 80-89).

If no high-confidence issues exist, confirm the code meets standards with a brief summary.

Be thorough but filter aggressively - quality over quantity. Focus on issues that truly matter.

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