What problem does it solve?
Inconsistent management of LLM-specific context files can lead to confusion, accidental version control tracking of sensitive data, and a cluttered repository. This Skill provides clear guidelines for organizing and securing your AI's context.
Core Features & Use Cases
- Standardized Structure: Defines the
.llm/ directory at the repository root for all LLM-related context.
- Git Exclusion Enforcement: Ensures the
.llm/ directory is properly untracked by Git, preventing sensitive or temporary files from being committed.
- Context Categorization: Differentiates between editable context (e.g.,
todo.md for tasks) and read-only context (e.g., git clones, saved documentation).
- Use Case: Automatically verify that your
.llm/ directory is correctly configured and git-ignored, providing a clean, organized, and secure space for AI-specific context without cluttering your version control.
Quick Start
Verify that the .llm/ directory in this repository is properly git-ignored and structured.