What problem does it solve? Choosing the right open-source library is hard: search results are noisy, abandoned projects look healthy, and licenses can create legal risk. This Skill provides a systematic method 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, push date, license, and topic filters to surface established or emerging projects. - Multi-Source Search Strategy: Coordinated webSearch patterns across GitHub, PyPI, npm, crates.io, Reddit, and Stack Overflow, plus gh CLI commands for precise filtering. - Health Evaluation Checklist: Concrete thresholds for commit recency, issue ratios, contributor count, download trends, and license compatibility to distinguish healthy projects from dead ones. - Use Case: You need a Python rate limiter. Run the baseline query, shortlist three candidates, compare them on npmtrends/pypistats, check their issue trackers for red flags, and present a structured comparison with install commands and minimal code examples. ## Quick Start Find me a well-maintained Python library for rate limiting and compare the top candidates.
