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mrkingsleyobi
mrkingsleyobiCOMMUNITY
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github-code-review

Coordinate multi-agent code reviews for GitHub pull requests.

Updated Oct 24, 2025
Search Tags:#automation#code review#performance#security#GitHub#pull requests#quality gates#AI review
One-click install
npx skills add https://github.com/mrkingsleyobi/jobnaut --skill github-code-review-mrkingsleyobi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/mrkingsleyobi/jobnaut/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/mrkingsleyobi/jobnaut --skill github-code-review-mrkingsleyobi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill revolutionizes code review by deploying specialized AI agents to perform comprehensive, intelligent analysis, drastically reducing review cycles and catching critical issues that human reviewers might miss.

Core Features & Use Cases

  • Multi-Agent Review System: Deploy specialized AI agents (security, performance, architecture, style, accessibility) to conduct parallel and in-depth code reviews.
  • Automated Workflows & Quality Gates: Automatically trigger reviews on PR creation, enforce quality thresholds, and even suggest automated fixes for common issues.
  • Intelligent Comment Generation: Receive contextual, actionable feedback directly on your pull requests, complete with code examples and suggested fixes.
  • Use Case: Automatically initiate a security-focused review for changes in an authentication module, blocking the PR if critical vulnerabilities are found and providing detailed, actionable suggestions for remediation.

Quick Start

Initialize a review swarm for a specific pull request (e.g., PR #123) using its files and diff, then post an initial comment to the PR indicating that a multi-agent code review has been initiated.

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 code reviews for GitHub pull requests?▼

Automate code reviews by deploying specialized AI agents that analyze GitHub PRs across security, performance, architecture, style, and accessibility dimensions. Initialize a review swarm for your PR using its files and diff to trigger parallel, coordinated assessments with contextual feedback posted directly to the pull request.

Can I enforce quality gates on pull requests automatically?▼

Yes, this Skill automatically enforces quality thresholds by blocking PRs that fail critical security or performance criteria. It generates actionable suggestions and can propose automated fixes for common issues, ensuring code meets your defined quality standards before merge.

What does multi-agent code review mean for GitHub workflows?▼

Multi-agent code review deploys independent AI agents with specialized expertise—security, performance, architecture, style, accessibility—that analyze the same PR in parallel. Each agent produces focused assessments coordinated into a single swarm review, catching issues faster and more thoroughly than sequential human review.

Does this work with existing GitHub CLI workflows?▼

Yes, this Skill integrates with GitHub CLI and coordinates reviews through ruv-swarm and claude-flow. It accepts PR data and diffs as inputs, supports agent role configuration and depth settings, and posts intelligent commentary directly to your pull requests.

Can automated code review suggest fixes for common issues?▼

Yes, the Skill generates fix suggestions alongside its review findings. It provides code examples and remediation guidance for identified issues, reducing the manual work required to resolve security vulnerabilities, performance bottlenecks, and style violations.

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