llm-rules

Generate or update CLAUDE.md, .cursorrules, and .goosehints files across repository folders.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/bailey-busc/env --skill llm-rules
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-rules
Source: https://github.com/bailey-busc/env/tree/main/modules/home/develop/ai/claude-code/skills/llm-rules
Command: npx skills add https://github.com/bailey-busc/env --skill llm-rules

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bootstrap or update LLM context files (CLAUDE.md, .cursorrules, .goosehints) recursively throughout a repository to empower AI assistants with up-to-date reasoning context.

Core Features & Use Cases

  • Bootstrap new or update existing LLM context files across a codebase.
  • Support multiple formats: CLAUDE.md, .cursorrules, and .goosehints.
  • Use case: initialize a repository for AI-assisted development or refresh context after significant code changes across folders.

Quick Start

Run llm-rules from the repository root to bootstrap or refresh LLM context files across the codebase.

Frequently Asked Questions about llm-rules

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

FAQPage Schema
How do I generate LLM context files like CLAUDE.md and .cursorrules across a repository?

To generate LLM context files across a repository, you can bootstrap or update formats like CLAUDE.md, .cursorrules, and .goosehints recursively. This traverses project directories to ensure AI assistants receive up-to-date reasoning context.

What is the best way to update existing .cursorrules files after significant codebase changes?

Updating existing .cursorrules files after codebase changes involves reconciling and propagating context rules across folders. This process preserves your existing context conventions while refreshing the AI context throughout the project.

Can I bootstrap AI context rules for large codebases with multiple folder structures?

Yes, you can bootstrap AI context rules for large codebases. The process traverses project directories recursively to generate and reconcile context rules, ensuring broad coverage across many folders.

Does generating LLM context rules support multiple AI assistant formats simultaneously?

Generating LLM context rules supports multiple formats simultaneously, specifically CLAUDE.md, .cursorrules, and .goosehints. This ensures various AI assistants can leverage the updated repository context.

Will refreshing repository AI context overwrite my existing context conventions?

Refreshing repository AI context preserves existing context conventions. The update process reconciles and propagates rules across folders without destroying your previously established formatting and instructions.