KS
Killer-Skills

code-review — how to use code-review how to use code-review, code-review setup guide, what is code-review, code-review vs manual review, code-review install for AI agents, git status for code review, code-review best practices for developers

v1.0.0
GitHub

About this Skill

Perfect for Development Agents needing comprehensive code audits and professional review following standards in prompts/CODE_REVIEW.md Code-review is a systematic examination of code changes using git commands to identify scope and ensure adherence to coding standards.

Features

Identifies scope using git status and git diff for uncommitted changes
Analyzes commits since last review with git log
Follows standards outlined in prompts/CODE_REVIEW.md
Determines code review needs based on Stop hook reminders or user requests
Supports code review after completing spikes or features

# Core Topics

MQFacultyOfArts MQFacultyOfArts
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
38
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add MQFacultyOfArts/PromptGrimoireTool/code-review

Agent Capability Analysis

The code-review MCP Server by MQFacultyOfArts 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-review, code-review setup guide, what is code-review.

Ideal Agent Persona

Perfect for Development Agents needing comprehensive code audits and professional review following standards in prompts/CODE_REVIEW.md

Core Value

Empowers agents to perform professional code audits, ensuring high-quality code through standards like git status, git diff, and git log, while benefiting developers and teams with comprehensive review processes

Capabilities Granted for code-review MCP Server

Performing audits before committing significant code changes
Reviewing code after completing spikes or features
Validating code quality when explicitly requested by users

! Prerequisites & Limits

  • Requires access to git repository
  • Follows specific standards outlined in prompts/CODE_REVIEW.md
Project
SKILL.md
1.6 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

Code Review Skill

Perform a professional code review following the standards in prompts/CODE_REVIEW.md.

When to Use

  • Before committing significant code changes
  • After completing a spike or feature
  • When the Stop hook reminds you
  • When explicitly requested by user

Process

  1. Identify scope - Determine what code needs review:

    • Check git status and git diff for uncommitted changes
    • Check git log to find commits since last review
    • Look for any existing code review documents to find the last review point
  2. Read the review template - Load prompts/CODE_REVIEW.md for the full criteria

  3. Perform the review - Apply all criteria from the template:

    • MANDATORY: No Quick Hacks policy
    • Race Condition Audit Checklist
    • Critical issues (thread safety, async safety, security, data integrity)
    • High priority (type hints, input validation, logging, test coverage)
    • Medium priority (magic numbers, hard-coded config, duplication)
    • Test quality (primary use cases tested, no anti-patterns)
  4. Write the review document - Save to .claude/plans/ with:

    • Executive summary
    • Issues grouped by severity with file:line references
    • Specific code fixes (before/after)
    • Checklist of items to fix
    • Verification steps
    • Notes for future work
  5. Report the path - Tell the user where to find the review document

Key Principles

  • Be specific and critical
  • Every issue needs a file:line reference
  • Provide concrete fixes, not just descriptions
  • Consider whether code enables future architectural goals
  • Quick hacks are absolutely forbidden

Related Skills

Looking for an alternative to code-review or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication