What problem does it solve? Understanding developer behavior and code quality from raw Git history requires manual digging through logs. This Skill scans Git repositories and produces structured, multi-dimensional reports covering commit patterns, work habits, efficiency, code style, code quality, slacking index, and graded developer evaluations. ## Core Features & Use Cases - Multi-Dimensional Git Analysis: Measures commit frequency, message quality, weekend/late-night coding ratios, code churn, rework rate, Bus Factor, Conventional Commits compliance, bug-fix ratio, and Python cyclomatic complexity via radon. - Developer Evaluation & Leaderboards: Computes a weighted six-dimension score (S/A/B/C/D/E/F grades) with strengths, weaknesses, actionable suggestions, plus a 0-100 slacking index and team rankings. - Flexible Scanning & Output: Analyze a single repo or recursively scan a directory of repos, filter by author, date range, or branch, and export reports as Markdown, JSON, HTML, or PDF. - Use Case: A team lead wants to compare Alice and Bob's code quality over the past quarter; the Skill scans the repo, filters by author and date range, and outputs a side-by-side HTML report with scores and improvement suggestions. ## Quick Start Ask the agent to analyze the Git repository at a given path and generate a developer evaluation report, optionally specifying authors, a date range, and an output format such as HTML or PDF.
