What problem does it solve? Developers often rebuild functionality that already exists as a maintained open-source library, or pick abandoned dependencies that later break. This Skill provides a systematic method for searching GitHub, package registries, and community sources to find existing solutions and evaluate their health before adopting them. ## Core Features & Use Cases - GitHub Search Operators: Reference tables for qualifiers like stars, language, pushed date, license, and archived status to build precise queries. - Multi-Source Search Strategy: Query templates for webSearch across GitHub, PyPI, npm, crates.io, Reddit, and Stack Overflow, plus gh CLI commands for exact filtering. - Health Evaluation Checklist: Signals for judging a repository, including commit recency, issue ratios, contributor count, download trends, and license compatibility. - Use Case: You need a Python rate limiter. Run the baseline query, compare the top candidates on stars and last push date, check their issue trackers for red flags, and present a comparison with install commands and minimal code examples. ## Quick Start Find a well-maintained Python library for rate limiting and compare the top three candidates with stars, last commit date, and license.