code-review

Automate a three-stage code review for spec compliance, quality, and domain integrity.

5|1|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/jstoup111/ai-conductor --skill code-review-jstoup111
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/jstoup111/ai-conductor/tree/main/skills/code-review
Command: npx skills add https://github.com/jstoup111/ai-conductor --skill code-review-jstoup111

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill facilitates a thorough and structured code review process, ensuring high-quality code and reducing the risk of bugs and security vulnerabilities.

Core Features & Use Cases

  • Calibrated Skepticism: Evaluators receive a fresh context for each review, promoting unbiased and critical analysis.
  • Structured Review: Three-stage review process focusing on spec compliance, code quality, and domain integrity.
  • Verification: Evaluator findings include confidence percentages and basis, ensuring claims are grounded.
  • Actionable Verdict: Structured verdicts guide developers on critical, important, and minor issues.

Quick Start

Run the 'code-review' skill to initiate a fresh code review for the latest changes in your project.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate a structured code review process before merging?

A structured code review process evaluates code changes across three stages: spec compliance, code quality, and domain integrity. This approach verifies findings with confidence percentages and provides actionable feedback to maintain high coding standards and reduce technical debt.

What is calibrated skepticism in code review and how does it work?

Calibrated skepticism in code review evaluates changes using a fresh context for each analysis, promoting unbiased and critical evaluation. It ensures reviewer findings include confidence percentages and a factual basis, grounding all claims in verified evidence rather than assumptions.

How do I verify code quality and reduce technical debt in continuous integration?

Verifying code quality and reducing technical debt requires a three-stage review focusing on spec compliance, code quality, and domain integrity. This process generates structured verdicts that categorize critical, important, and minor issues to guide developers with actionable feedback.

Can I use automated verification to ensure spec compliance for latest project changes?

Yes, automated verification can ensure spec compliance by running a structured review process on your latest project changes. It evaluates the code against specifications, verifies claims with confidence percentages, and outputs structured verdicts detailing critical and minor compliance issues.

Does structured code review work without any external dependencies?

Yes, structured code review works without external dependencies. The process operates independently to evaluate spec compliance, code quality, and domain integrity, requiring only your project's latest changes to initiate the three-stage review and generate actionable feedback.

What is the best way to provide structured feedback on code quality?

The best way to provide structured feedback on code quality is through a three-stage review process that categorizes findings into critical, important, and minor issues. This method uses calibrated skepticism to verify claims and outputs actionable verdicts for developers.