worktree-sparsity-eval

What problem does it solve?

This Skill helps manage large Git repositories by determining if using sparse checkout for Git worktrees is beneficial, thereby reducing disk space and improving checkout times.

Core Features & Use Cases

• Repository Size Analysis: Collects metrics like file count, total size, and change locality.
• Sparsity Recommendation: Advises whether to enable sparse checkout based on predefined thresholds.
• Automated Documentation Update: Updates a CLAUDE.md file with collected metrics and recommendations.
• Use Case: Before starting work on a massive codebase like a Linux kernel or a large monorepo, use this Skill to assess if sparse checkout is needed to avoid checking out the entire repository.

Quick Start

Run the worktree-sparsity-eval skill to analyze the current repository and update CLAUDE.md with sparsity recommendations.