Tech Ecosystem Analyzer

About

This skill provides a systematic approach to evaluating technology stacks by combining real-time GitHub API data with comprehensive web research. It automates the collection of metrics like stars, forks, and growth rates through custom Python scripts, then synthesizes these findings into detailed Markdown reports and JSON datasets. By applying weighted scoring algorithms and trend predictions, it transforms subjective library comparisons into objective technical evaluations, helping teams make informed decisions about tool adoption, migration strategies, and long-term project viability.

Key Features

• Automated GitHub data collection via custom Python scripts
• Decision-making frameworks tailored to specific project requirements
• Quantitative weighted scoring algorithms for objective tool rankings
• Trend forecasting and growth rate analysis for emerging technologies
• Comprehensive comparative reporting with side-by-side metric analysis
• 0 GitHub stars

Use Cases

• Performing competitive technical analysis and monitoring ecosystem health trends
• Comparing multiple libraries to select a standard for a new technical stack
• Evaluating the ROI and risks of migrating from legacy frameworks to modern alternatives