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AndurilCode
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code-review-amplifier

Generate a structured code review brief with findings and design questions.

7|2|Updated Mar 5, 2026
Search Tags:#diff analysis#code review#pull request#security#knowledge transfer#mentoring#design coherence
One-click install
npx skills add https://github.com/AndurilCode/craftwork --skill code-review-amplifier
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review-amplifier
Source: https://github.com/AndurilCode/craftwork/tree/main/skills/code-review-amplifier
Command: npx skills add https://github.com/AndurilCode/craftwork --skill code-review-amplifier

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you produce more reliable, higher-signal code reviews by turning a review request into a structured brief that a human can act on quickly.

Core Features & Use Cases

  • Seven-dimension pre-scan: checks correctness, readability, and security/resilience while capturing where human judgment is required.
  • Design coherence questions: generates evaluation questions (not assumptions) to confirm architectural alignment.
  • Knowledge transfer & mentoring signals: routes suggestions for who else should review and surfaces potential growth/learning patterns.
  • Velocity-focused review brief: assembles a scannable, bounded set of findings (with severity) to fit into limited review time.

Quick Start

Paste the PR description and the relevant diffs into the chat and ask the AI to prepare a code review using code-review-amplifier.

Frequently Asked Questions about code-review-amplifier

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

FAQPage Schema
How do I make my pull request reviews faster and more thorough?▼

To make pull request reviews faster, paste the PR description and diffs into the chat to generate a structured review brief with up to 10 severity-ranked findings across correctness, security, and design coherence.

How does diff analysis identify security and design issues?▼

Diff analysis identifies issues by running a seven-dimension pre-scan on pasted code, evaluating correctness, readability, and security while generating design questions to confirm architectural alignment.

Can I use code review tools to support mentoring and knowledge transfer?▼

Yes, you can support mentoring and knowledge transfer by surfacing growth patterns and routing suggestions for additional reviewers directly within the generated code review brief.

What is the best way to review merge requests when I have limited time?▼

The best way to review merge requests with limited time is to assemble a velocity-focused review brief that provides a scannable, bounded set of findings requiring fast human judgment.

Does code review automation work with pasted code instead of full repository access?▼

Yes, code review automation works with pasted code by assembling the provided context and running a surface pre-scan to produce a structured quality assessment without requiring full repository access.

What limitations exist when generating design coherence questions for a pull request?▼

A limitation is that design coherence questions are only generated when sufficient context allows, meaning pasted diffs lacking architectural context may not yield the 2 to 5 desired evaluation questions.

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