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.