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10x-rule-review

Review AI rules files for length, code snippets, language precision, redundancy, and rule order.

Updated May 22, 2026
Search Tags:#code review#software development#AI rules#rule quality#AI artifact
One-click install
npx skills add https://github.com/pfrack/frugalis --skill 10x-rule-review-pfrack
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 10x-rule-review
Source: https://github.com/pfrack/frugalis/tree/main/.github/skills/10x-rule-review
Command: npx skills add https://github.com/pfrack/frugalis --skill 10x-rule-review-pfrack

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a thorough review of AI rules files, ensuring they are concise, precise, and effective. It offers a 5-point scorecard with actionable fixes to improve the quality of AI rule artifacts.

Core Features & Use Cases

  • Comprehensive Review: Analyzes AI rules files for length, direct code snippets, precise language, redundant knowledge, and rule ordering.
  • Actionable Feedback: Provides concrete suggestions for improvements, such as splitting large files, replacing code snippets with references, and refining vague language.
  • Rule Ordering: Proposes a better order for critical rules to enhance their visibility and impact.

Quick Start

Run the /10x-rule-review command with the path to your AI rules file, e.g., /10x-rule-review /path/to/your-rules-file.md

Frequently Asked Questions about 10x-rule-review

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

FAQPage Schema
How do I review AI rules files for quality and structure?▼

Evaluating AI rules files involves checking for excessive length, direct code snippets, vague language, redundant knowledge, and suboptimal rule ordering, yielding a comprehensive scorecard with concrete improvement suggestions.

What makes a good AI rules file for software development?▼

Effective AI rule artifacts are concise, precise, and well-ordered, avoiding direct code snippets and redundant knowledge to ensure clarity and effectiveness in software development workflows.

Can I check if my AI rules file has redundant knowledge or vague language?▼

Yes, a comprehensive AI rules review identifies redundant knowledge and vague language precision issues, providing concrete suggestions to refine and split large files for better clarity.

How do I fix direct code snippets in AI rules files?▼

Fix direct code snippets in AI rules files by replacing them with external references, an actionable fix that reduces file length and improves rule artifact maintainability.

Does AI rule order matter for AI artifact effectiveness?▼

Rule order significantly impacts AI artifact effectiveness; reordering critical rules enhances their visibility and impact, ensuring the AI prioritizes key software development constraints.

What are the limitations of using an AI rules file scorecard?▼

An AI rules file scorecard evaluates structural quality like length and rule order, but it does not validate the technical correctness of the embedded software development logic.

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