rules-reviewer

Audit Builder.io Fusion rule files for structure and configuration issues.

11|2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/BuilderIO/builder-agent-skills --skill rules-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rules-reviewer
Source: https://github.com/BuilderIO/builder-agent-skills/tree/main/rules-reviewer
Command: npx skills add https://github.com/BuilderIO/builder-agent-skills --skill rules-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This Skill helps developers diagnose and improve ineffective Builder.io Fusion rules files that cause inconsistent AI behavior, wasted context, or missed project conventions.

Core Features & Use Cases

  • Rules Auditing: Analyze.builderrules,.mdc, and agents.md files for size, structure, clarity, and configuration issues.
  • Rules Improvement Guidance: Identify vague, conflicting, oversized, or misplaced AI instructions and recommend focused fixes.
  • Rule Creation Support: Guide the creation of effective Builder.io Fusion rules with proper scoping, frontmatter, and project-specific guidance.

Quick Start

Ask the rules-reviewer skill to audit the AI rules files in your current project and provide recommendations.

Frequently Asked Questions about rules-reviewer

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

FAQPage Schema
How do I audit AI agent rules files for inconsistent code generation?

To audit AI agent rules files, you analyze .builderrules, .mdc, and agents.md configurations for size, structure, frontmatter validation, and clarity issues. This structured analysis detects vague or conflicting instructions and provides actionable recommendations to fix ineffective rules.

Why does my Builder.io Fusion project ignore AI rules and waste context?

Builder.io Fusion projects ignore AI rules and waste context when configurations contain oversized, misplaced, or vague instructions. Auditing these rule files identifies configuration issues and recommends focused fixes to enforce project conventions and prevent inconsistent AI behavior.

What is the best way to create effective agents.md and .mdc files?

The best way to create effective agents.md and .mdc files is to ensure proper scoping, valid frontmatter, and project-specific guidance. Rule creation support guides you through structuring these configurations to prevent ineffective instructions and maintain consistent code generation.

Can I use this rules review process for any developer workflow configuration?

This rules review process specifically applies to Builder.io Fusion projects using .builderrules, .mdc, and agents.md files. It is tailored for developer workflows needing rule audits, fixes, and creation of these specific AI agent configuration files.

What are common limitations of poorly structured AI rules files?

Poorly structured AI rules files suffer from frontmatter validation errors, excessive size, and conflicting instructions. These limitations cause missed project conventions and wasted context, requiring structured analysis to detect and resolve the configuration issues.

Does rules-reviewer check frontmatter validation and file size for code review?

Yes, rules-reviewer performs frontmatter validation and size checks on .builderrules, .mdc, and agents.md files. This code review process detects configuration issues, identifies vague instructions, and provides actionable recommendations to improve AI code generation.