What problem does it solve? Investigating Git history with raw commands is error-prone and hard to remember, making it difficult to track down when bugs were introduced, who owns code, or what changed before a release. This Skill teaches AI assistants to use Hug SCM's humane command layer to perform systematic repository investigations safely. ## Core Features & Use Cases - History Investigation: Search commit messages and code changes with literal or regex matching, run temporal queries like "3 days ago", and trace file origins with binary search. - Computational Analysis: Detect co-changing files, calculate recency-weighted code ownership, build commit dependency graphs, and analyze team activity patterns with JSON export. - Safe History Workflows: Review changes before committing, compare branches, and clean up commit history with auto-backups, dry-run previews, and force-with-lease pushes. - Use Case: When a user reports "login broke last week," the assistant searches recent commits touching auth files, inspects suspect diffs, identifies the introducing commit, and checks which branches contain the fix. ## Quick Start Ask the assistant to investigate when a specific bug was introduced in your repository using Hug SCM commands.
