What problem does it solve? Choosing the right open-source library is hard: search results are noisy, abandoned projects look alive, and license terms are easy to miss. This Skill provides a systematic workflow for finding actively maintained, well-licensed libraries on GitHub instead of building solutions from scratch. ## Core Features & Use Cases - GitHub Search Operators: Ready-to-use query templates combining stars, language, pushed date, license, and topic filters to surface established or emerging projects. - Health Evaluation Checklist: Concrete thresholds for commit recency, issue ratios, contributor counts, download trends, and license compatibility to decide whether to adopt or walk away from a library. - Comparison Output Template: A structured format for presenting candidate libraries with stars, activity, pros, cons, and minimal working code examples. - Use Case: You need a Python rate limiter. Run the baseline query, shortlist three candidates, check their issue trackers and download trends, then present a side-by-side comparison with a recommendation. ## Quick Start Find me a well-maintained Python library for rate limiting and compare the top candidates.