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PM4-SmartFinance
PM4-SmartFinanceOFFICIAL
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review-pr

Manage pull request reviews with specialized agents for code, tests, and errors.

Updated Mar 1, 2026
Search Tags:#code quality#parallel processing#specialized agents#software analysis#pull request review
One-click install
npx skills add https://github.com/PM4-SmartFinance/SmartFinance --skill review-pr-pm4-smartfinance
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-pr
Source: https://github.com/PM4-SmartFinance/SmartFinance/tree/main/.claude/skills/review-pr
Command: npx skills add https://github.com/PM4-SmartFinance/SmartFinance --skill review-pr-pm4-smartfinance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Manages the process of reviewing pull requests using specialized agents that focus on different quality aspects.

Core Features & Use Cases

  • Specialized Agents: Utilizes agents for code review, test coverage analysis, and error handling.
  • Parallel Execution: Agents run in parallel to speed up the review process.
  • Customizable Aspects: Allows users to select specific aspects of the code to review, such as 'code', 'tests', or 'all'.

Quick Start

To review a pull request, use the 'review-pr' skill with the aspect you want to focus on, for example: 'review-pr code'.

Frequently Asked Questions about review-pr

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

FAQPage Schema
How do I automate pull request reviews for code quality and test coverage?▼

Automate pull request reviews by deploying specialized agents that analyze code, tests, and errors in parallel. This streamlines the review process by focusing on different quality aspects simultaneously, requiring access to agent definitions and Python script execution capabilities.

Can I run parallel analysis on specific aspects of a pull request?▼

Yes, parallel analysis runs multiple specialized agents simultaneously to speed up the pull request review process. You can select specific aspects to review, such as 'code', 'tests', or 'all', directing the agents to focus on the chosen quality dimensions.

Do I need Python to execute scripts for pull request analysis?▼

Yes, Python is required to execute scripts for parallel analysis during the pull request review. The system also requires access to `.claude/agents/*.md` files to load the definitions for the specialized agents handling code and test reviews.

What is the best way to review code, tests, and errors in a pull request?▼

The best way to review code, tests, and errors is using a suite of specialized agents that run in parallel. This approach manages different quality aspects concurrently, streamlining software analysis and ensuring comprehensive coverage of the pull request.

How does specialized agent software analysis work for pull requests?▼

Specialized agent software analysis works by assigning distinct agents to evaluate code quality, test coverage, and error handling within a pull request. These agents process their assigned aspects in parallel, providing a comprehensive review faster than sequential analysis.

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