cmd-pr-review-prepare

Generate context-rich git diffs and identify code improvement areas.

8|Updated Jan 22, 2026

Search Tags:#code quality #automation #git #developer tools #code review #pull request

Ready to run

npx skills add https://github.com/Olshansk/agent-skills --skill cmd-pr-review-prepare

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cmd-pr-review-prepare
Source: https://github.com/Olshansk/agent-skills/tree/main/skills/cmd-pr-review-prepare
Command: npx skills add https://github.com/Olshansk/agent-skills --skill cmd-pr-review-prepare

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the code review process by automatically building context, identifying potential issues, and suggesting improvements before a human reviewer even looks at the code.

Core Features & Use Cases

Context Building: Analyzes git diffs against relevant branches (testnet, staging, main) to understand the scope of changes.
Issue Identification: Flags potential problems, cosmetic changes, and areas for code cleanup or architectural improvement.
Use Case: Before submitting a pull request, run this skill to get a head start on the review by having the AI pre-analyze the changes and suggest initial fixes.

Quick Start

Run the cmd-pr-review-prepare skill to prepare the current branch for a code review.

Frequently Asked Questions about cmd-pr-review-prepare

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prepare a git branch for a code review?▼

To prepare a git branch for code review, you can run a pre-analysis skill that generates a context-rich diff against relevant branches and identifies potential issues before a human reviewer evaluates it. This streamlines the pull request process by building context automatically.

What is automated pull request analysis and how does it work?▼

Automated pull request analysis examines git diffs to understand the scope of changes, flagging potential problems, cosmetic changes, and areas for code cleanup or architectural improvement. It works by comparing your branch against target branches to generate context-rich output.

Can I use automated code review on diffs against testnet or staging branches?▼

Yes, automated code review can analyze diffs against testnet, staging, or main branches. The process builds context by comparing your current branch history with these target branches to identify potential issues and suggest improvements.

Do I need the git command-line interface to pre-analyze changes before submitting a pull request?▼

Yes, you need the git command-line interface and access to your branch history for diff generation. The tool requires this CLI access to analyze your changes and generate the context-rich diff output needed for pre-review preparation.

What's the best way to identify code cleanup areas before a human reviewer looks at my pull request?▼

The best way to identify code cleanup areas before a human review is to run an automated pre-analysis that flags cosmetic changes, potential problems, and architectural improvement opportunities. This provides a head start by suggesting initial fixes from the git diff.

Are there limitations to automated code review for pull request preparation?▼

Automated code review for pull request preparation is limited to analyzing git diffs and branch history. It cannot replace human judgment on complex architectural decisions, but it effectively identifies cosmetic changes and suggests initial code improvements.