What problem does it solve? Writing quarterly, semi-annual, or promotion self-evaluations requires manually digging through months of commits and notes, which is time-consuming and error-prone. This Skill turns your actual Git history and optional work logs into a concise, evidence-backed draft. ## Core Features & Use Cases - Git Evidence Collection: Resolves author and date windows from flags or natural language (e.g., quarters, half-years, month ranges), scans local branches and configured upstreams, and deduplicates commits by hash. - Multi-Source Input: Combines commits across multiple configured repositories with pasted daily/weekly logs or automatically recorded AI session logs, keeping log-only work separate until you confirm it. - Structured Output: Groups related commits into business-line outcomes, folds in housekeeping work, and produces a numbered list of at most 8 concrete results in your language. - Use Case: Before a performance review, ask for a summary of your work from January to June; the Skill scans your repositories, groups the commits into outcomes, and produces a draft you only need to review and polish. ## Quick Start Ask the agent to summarize my Git commits and work log into a self-evaluation for the first half of this year.