Diagnose repository bloat by listing oversized tracked files and historical blobs.
npx skills add https://github.com/subinium/vibesubin --skill manage-assets
Please help me install this Agent Skill. Skill: manage-assets Source: https://github.com/subinium/vibesubin/tree/main/plugins/vibesubin/skills/manage-assets Command: npx skills add https://github.com/subinium/vibesubin --skill manage-assets
Repos accumulate binary bloat and oversized assets that slow clones, CI, and onboarding. This skill surfaces bloats without editing code or rewriting history, enabling teams to see where large files or asset directories accumulate.
Provide a read-only bloated-assets report for the current repository and prepare hand-off steps for remediation.
High-intent search queries and answers about installing and using this skill.
Finding large files bloating your git repository involves diagnosing oversized tracked files and historical blobs. This read-only analysis surfaces size-based findings and growing asset directories without modifying code or rewriting history.
Analyzing repo bloat before an LFS migration requires quantifying oversized binary artifacts and historical blobs. This diagnostic approach identifies growing asset directories and ignore gaps, handing off remediation actions rather than performing destructive changes itself.
You can detect growing asset directories in a large repo without modifying the codebase by running a read-only diagnostic. It identifies potential ignore gaps and asset growth patterns, preparing hand-off steps for remediation while keeping your history intact.
Checking repository bloat does not require rewriting git history to remove large blobs. The diagnostic process is strictly read-only, surfacing duplicates and oversized files so you can hand off appropriate actions to specialized skills for safe remediation.
Large repositories have slow clones because of accumulated binary bloat and oversized assets. You quantify the binary bloat by diagnosing oversized tracked files and historical blobs, which surfaces size-based findings to address clone and CI slowdowns.
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