review-code

Identify code issues and cross-project impact during pull request reviews.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/ResearchMonkey/Foundation_template --skill review-code-researchmonkey
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-code
Source: https://github.com/ResearchMonkey/Foundation_template/tree/main/.claude/skills/review-code
Command: npx skills add https://github.com/ResearchMonkey/Foundation_template --skill review-code-researchmonkey

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code review with impact analysis helps teams surface inline findings that align with quality gates and coding standards while assessing cross-project consequences, reducing post-merge defects.

Core Features & Use Cases

  • Inline findings aligned to coding standards and quality gates
  • Cross-project impact analysis to identify affected modules across repositories
  • Use for PR reviews, branch diffs, and critical pre-merge checks across multi-repo codebases

Quick Start

Submit your patch or PR link and base branch to trigger an automated review with impact analysis.

Frequently Asked Questions about review-code

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

FAQPage Schema
How do I perform code reviews with cross-project impact analysis?

Code reviews with cross-project impact analysis identify inline issues against coding standards while assessing multi-repo consequences. You submit a patch or PR link with a base branch to trigger automated findings and surface affected modules across repositories.

When do I need cross-repo impact analysis for pull requests?

Cross-repo impact analysis for pull requests is needed when working across multi-repo codebases to identify affected modules in other repositories. It helps surface cross-project consequences during pre-merge checks, reducing post-merge defects.

Can I use branch diffs to enforce quality gates and coding standards?

Branch diffs can enforce quality gates and coding standards by surfacing inline findings aligned with established rules. Applying automated reviews to branch diffs ensures patches meet quality criteria before merging into the main codebase.

What is the best way to review multi-repo codebases for cross-project impact?

Reviewing multi-repo codebases for cross-project impact is best handled by automated tools that map inline findings to established quality gates and surface cross-repo impact signals. This approach catches affected modules across repositories before merging.

How do I trigger automated pre-merge checks across multiple repositories?

Automated pre-merge checks across multiple repositories are triggered by submitting your patch or PR link along with the base branch. This initiates an automated review that applies inline findings and cross-project impact analysis.

Why does code review without cross-project impact analysis lead to post-merge defects?

Code review without cross-project impact analysis leads to post-merge defects because inline findings fail to assess cross-project consequences in multi-repo codebases. Unidentified affected modules in other repositories cause unanticipated breaking changes.