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pragmatic-clean-code-reviewer

Automate rule-based code reviews with citations from classic software engineering books.

213|19|Updated Jan 17, 2026
Search Tags:#architecture#static-analysis#quality-assurance#code-review#software-engineering#rule-based
One-click install
npx skills add https://github.com/Zhen-Bo/pragmatic-clean-code-reviewer --skill pragmatic-clean-code-reviewer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pragmatic-clean-code-reviewer
Source: https://github.com/Zhen-Bo/pragmatic-clean-code-reviewer/tree/main
Command: npx skills add https://github.com/Zhen-Bo/pragmatic-clean-code-reviewer --skill pragmatic-clean-code-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates rule-based code reviews against classic software engineering books.

Core Features & Use Cases

  • 3+4+2 questionnaire-driven strictness mapping (L1-L5)
  • Standardized reports with rule citations across PP/CC/CA
  • Language-aware adjustments for multi-language codebases
  • On-demand references and asset/document support

Quick Start

Invoke the skill with /pragmatic-clean-code-reviewer to start a code-review session.

Frequently Asked Questions about pragmatic-clean-code-reviewer

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

FAQPage Schema
How do I automate code reviews based on classic software engineering rules?▼

You can automate rule-based code reviews by applying a 15-point checklist with rule citations from classic software engineering books. This generates standardized reports to enable actionable fixes across your organization's codebase.

How does static analysis handle multi-language codebases during a code review?▼

Static analysis for code reviews handles multi-language codebases by applying language-aware adjustments. This ensures the 15-point checklist and rule citations remain accurate and standardized across different programming languages and teams.

Can I enforce different levels of strictness for code quality assurance across my teams?▼

Yes, you can enforce code quality assurance strictness using a 3+4+2 questionnaire-driven mapping model. This maps to L1-L5 strictness levels to accommodate varying project requirements and organizational standards.

What's the best way to generate standardized code review reports with rule citations?▼

The best way to generate standardized code review reports is to automate rule-based reviews against classic software engineering principles. This process outputs actionable fixes categorized across PP, CC, and CA dimensions with explicit rule citations.

Does this code review approach support organization-wide architecture and quality assurance standards?▼

Yes, this rule-based code review approach targets organization-wide codebases across various languages and teams. It enforces a strict 15-point checklist to ensure uniform quality assurance and architecture standards throughout the organization.

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