Review AI rule markdown files and score quality on five criteria.
npx skills add https://github.com/Dergacz/AI_CV_Builder --skill 10x-rule-review-dergacz
Please help me install this Agent Skill. Skill: 10x-rule-review Source: https://github.com/Dergacz/AI_CV_Builder/tree/main/.agents/skills/10x-rule-review Command: npx skills add https://github.com/Dergacz/AI_CV_Builder --skill 10x-rule-review-dergacz
This Skill automates the review of AI rule files, ensuring they are of high quality and clear in their intent, saving time and reducing errors.
Review the AI rules in your project by running /10x-rule-review /path/to/your/rule/file.md.
High-intent search queries and answers about installing and using this skill.
To review AI rule files for quality and clarity, this Skill analyzes markdown files containing AI rules, scoring them on length, direct code snippets, precise language, redundant knowledge, and rule ordering to provide a 5-point scorecard with actionable fixes.
Auditing AI rule files like CLAUDE.md or AGENTS.md is best handled by this Skill, which processes markdown files of varying sizes and complexity to flag common issues like redundancy, vagueness, and lack of precision without modifying the original files.
Markdown analysis scoring for AI rule files works by evaluating the condition of the rule artifact against five criteria: length, direct code snippets, precise language, redundant knowledge, and rule ordering, generating a scorecard with customizable feedback.
You cannot use this AI rule review on project documentation, as it operates specifically on the condition of the rule artifact itself, focusing on markdown files containing AI rules rather than general project documentation.
The AI rule review does not modify the markdown files during analysis; it operates on them in a read-only manner to evaluate the condition of the rule artifact and provide suggestions for improvement grounded in the specific project context.
AI rules may fail to guide code generation properly due to vagueness, redundancy, or lack of precision, issues that this Skill identifies by scoring rule files on length, direct code snippets, precise language, and rule ordering.
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