rule-selector

Analyze project configuration files to generate a manifest.yaml coding rules profile.

36|6|Updated Nov 2, 2025
One-click install
npx skills add https://github.com/oimiragieo/LLM-RULES --skill rule-selector
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rule-selector
Source: https://github.com/oimiragieo/LLM-RULES/tree/main/.claude/skills/rule-selector
Command: npx skills add https://github.com/oimiragieo/LLM-RULES --skill rule-selector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually configuring and maintaining coding standards across diverse tech stacks is a complex, error-prone, and time-consuming task. This often leads to inconsistent code quality and compliance issues. This Skill automates the setup of optimal rules, ensuring immediate adherence to best practices and reducing configuration overhead.

Core Features & Use Cases

  • Intelligent Tech Stack Detection: Automatically identifies frameworks, languages, and libraries from your project's configuration files (e.g., package.json, requirements.txt, go.mod).
  • Optimized Rule Configuration: Generates a tailored manifest.yaml profile, dynamically including relevant rule packs and intelligently excluding irrelevant ones for your specific stack.
  • Use Case: Starting a new Next.js project? Simply ask the AI to "Select rules for this project". It will scan your package.json, detect Next.js, TypeScript, and Tailwind, and then configure the optimal set of coding rules in your manifest.yaml file, saving you hours of manual setup and ensuring immediate compliance.

Quick Start

Select the right rules for this new project.

Frequently Asked Questions about rule-selector

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

FAQPage Schema
How do I automatically configure coding rules for my project's tech stack?

Automatically configure coding rules by analyzing your project's configuration files like package.json, requirements.txt, go.mod, or Cargo.toml. The Skill detects your frameworks and languages, then generates an optimized manifest.yaml profile with relevant rule packs tailored to your specific stack, eliminating manual setup.

Can I use rule configuration automation with Node.js, Python, and Go projects?

Yes, rule configuration automation supports Node.js, Python, Go, and multi-framework repositories. It detects technologies from standard configuration files across these ecosystems and applies the appropriate coding standards and compliance rules for each language and framework combination.

What's the best way to ensure coding standards compliance across a diverse tech stack?

Automate rule selection by scanning your project's dependencies and frameworks, then generate a manifest.yaml with master rules prioritized for your stack. This approach ensures immediate adherence to best practices, reduces configuration overhead, and maintains consistent code quality across multiple technologies without manual effort.

How does tech stack detection map to coding rules and standards?

Tech stack detection identifies frameworks, languages, and libraries from configuration files, then maps detected technologies to a rule index. The Skill prioritizes relevant master rules for your specific stack and excludes irrelevant ones, producing a tailored manifest.yaml profile that enforces appropriate standards.

When should I use automated rule configuration for project onboarding?

Use automated rule configuration during new project setup, team onboarding, dependency updates, and compliance audits. It eliminates inconsistent manual configuration, accelerates onboarding by applying best practices immediately, and ensures all team members follow the same coding standards from day one.

What limitations exist when configuring rules for multi-framework projects?

Rule configuration requires detectable configuration files from supported ecosystems. Projects with unconventional setups, missing or non-standard configuration files, or proprietary frameworks not in the rule index may need manual adjustment after initial profile generation.