shamt-code-review

Generate formal code review overviews and copy-ready comments for branches.

Updated Feb 23, 2026
One-click install
npx skills add https://github.com/MizunoPK/shamt-ai-dev --skill shamt-code-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: shamt-code-review
Source: https://github.com/MizunoPK/shamt-ai-dev/tree/main/.claude/skills/shamt-code-review
Command: npx skills add https://github.com/MizunoPK/shamt-ai-dev --skill shamt-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structured, standardized code reviews that generate a formal overview document and versioned, copy-paste-ready review comments for any branch or PR. This enables consistent, high-quality feedback without manual synthesis.

Core Features & Use Cases

  • Formal external reviews (12 dimensions) and S7/S9 internal reviews (13 dimensions), with a structured scoring and documentation framework.
  • Output artifacts include an overview (for formal reviews), overview_validation_log.md, review_vN.md, and review_validation_log.md, all organized per-branch.
  • Triggers include common review commands and phrases to activate the workflow, ensuring repeatable results across teams.

Quick Start

Provide a formal code review for the target branch and generate an overview, validation logs, and copy-ready comments.

Frequently Asked Questions about shamt-code-review

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

FAQPage Schema
How do I automate standardized branch code reviews?

Automate standardized branch code reviews by triggering the workflow to generate formal overviews, validation logs, and copy-ready review comments. This enforces documented dimensions, versioned outputs, and traceable diffs for consistent feedback.

What is a structured code review framework and when do I need it?

A structured code review framework applies a formal 12-dimension or 13-dimension scoring system to evaluate branch changes. You need it to ensure consistent, high-quality feedback across external PRs and internal reviews without relying on ad-hoc manual checks.

How do I generate copy-ready review comments for a pull request?

Generate copy-ready review comments by applying the formal 12-dimension branch review framework to the target PR. The workflow outputs versioned review_vN.md files containing traceable feedback organized per-branch for direct pasting.

Does this code review workflow support internal S7 and S9 variants?

Yes, the code review workflow supports internal S7 and S9 variants by applying an abbreviated 13-dimension framework. It generates structured overviews and versioned review artifacts specifically tailored for internal review processes.

What's the best way to ensure traceable diffs in code review documentation?

The best way to ensure traceable diffs is using a YAML frontmatter-driven skill model that enforces documented dimensions and versioned outputs. This generates overview_validation_log.md and review_validation_log.md files for per-branch tracking.

What are the limitations of automated code review generation?

Automated code review generation relies on a fixed 12-dimension or 13-dimension framework and YAML frontmatter triggers. It cannot replace human judgment for complex logic evaluation and requires structured branch inputs to produce valid overview and validation artifacts.