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drdanmaggs
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code-reviewer

Coordinate parallel code review agents across local diffs and remote pull requests.

Updated Mar 19, 2026
Search Tags:#automation#git#multi-agent#quality#code-review#pull-request
One-click install
npx skills add https://github.com/drdanmaggs/rocket-fuel --skill code-reviewer-drdanmaggs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/drdanmaggs/rocket-fuel/tree/main/internal/plugin/skills/code-reviewer
Command: npx skills add https://github.com/drdanmaggs/rocket-fuel --skill code-reviewer-drdanmaggs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Streamline and scale code reviews by orchestrating multiple agents to surface high-signal findings, reducing manual review time and increasing reliability of feedback.

Core Features & Use Cases

  • Parallel review agents coordinate to inspect local changes (staged or working tree) and remote pull requests.
  • Validation pass filters findings to surface only high-confidence issues and actionable fixes.
  • Context-aware remediation guides investigators with concrete suggestions and traceable evidence for changes.

Quick Start

Provide a repository path or PR URL and instruct the skill to start a multi-agent code-review session.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate a multi-agent code review for a pull request?▼

Automate a multi-agent code review by providing a pull request URL or repository path; parallel agents inspect code changes across standards, performance, security, and quality dimensions, applying a validation pass to surface high-signal findings.

Can I run automated code reviews on local git diffs before opening a pull request?▼

Yes, automated code reviews work on local diffs including staged or working tree changes, allowing you to inspect code quality, security, and performance before opening a pull request.

How does multi-agent code review filter false positives?▼

Multi-agent code review applies a validation pass to filter findings, ensuring only high-confidence issues and actionable fixes are surfaced with context, evidence, and concrete remediation steps.

Does automated code review provide concrete remediation steps for identified issues?▼

Yes, automated code review provides context-aware remediation by guiding fixes with concrete suggestions and traceable evidence for each high-signal finding in the code changes.

What's the best way to scale code reviews across multiple pull requests?▼

Scale code reviews by orchestrating parallel agents to inspect multiple pull requests simultaneously, reducing manual review time while increasing the reliability of feedback across standards, performance, security, and quality dimensions.

Do I need any external dependencies to run multi-agent code review sessions?▼

No external dependencies are required; you only need to provide a repository path or pull request URL to instruct the skill to start a multi-agent code-review session.

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