github-code-review

Automate GitHub pull request reviews with parallel specialized agents.

1|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/harshaldhaduk/Lattice --skill github-code-review-harshaldhaduk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/harshaldhaduk/Lattice/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/harshaldhaduk/Lattice --skill github-code-review-harshaldhaduk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual GitHub code reviews are slow, inconsistent, and often miss critical security, performance, or architectural issues, wasting developer time and risking buggy code reaching production.

Core Features & Use Cases

  • Multi-agent specialized reviews: Deploy dedicated security, performance, architecture, and style agents to analyze PRs in parallel for comprehensive coverage.
  • Automated PR management: Auto-trigger reviews on PR creation, post contextual comments, request changes, and update labels based on review results.
  • Use case: High-volume engineering teams can use this skill to reduce manual review overhead, catch critical issues before merge, and enforce consistent code quality standards across the codebase.

Quick Start

Use the github-code-review skill to run a full multi-agent code review on pull request #123 and post the results directly to the PR.

Frequently Asked Questions about github-code-review

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

FAQPage Schema
How do I automate GitHub pull request code reviews?

Automate GitHub pull request code reviews by deploying coordinated multi-agent swarms to analyze PRs in parallel, detecting security vulnerabilities and performance issues while posting contextual comments directly to the PR without manual intervention.

Can I use AI to detect security vulnerabilities in my GitHub PRs?

AI security vulnerability detection in GitHub PRs is achieved by deploying dedicated security agents within a multi-agent swarm to analyze pull requests in parallel and identify critical issues before merge.

How do multi-agent swarms work for PR management?

Multi-agent swarms for PR management work by coordinating specialized agents—security, performance, architecture, and style—to execute parallel reviews on a pull request, enforce quality gates, and automate PR status updates.

Does automated code review work with GitHub CLI?

Automated code review integrates directly with GitHub CLI to trigger reviews on PR creation, post contextual comments, request changes, and update labels based on the multi-agent swarm analysis results.

What is the best way to enforce coding standards across high-volume engineering teams?

Enforce coding standards across high-volume engineering teams by automating PR code reviews with multi-agent swarms that validate architectural patterns and apply consistent quality gates to pull requests of any size.

When should I not use automated AI code reviews?

Automated AI code reviews are not ideal for workflows lacking GitHub CLI access or ruv-swarm integration, as the multi-agent parallel review process depends on these tools to execute specialized analysis and post results.