tech-ecosystem-analyzer
CommunityData-driven ecosystem insights and ranking.
Authorwindowh1
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables data-driven analysis of technology ecosystems by collecting quantitative GitHub metrics and qualitative web research to produce structured, actionable rankings and recommendations.
Core Features & Use Cases
- Quantitative ranking: computes a 0-100 popularity score from repository metrics (stars, forks, watchers, activity).
- Multi-library comparisons: analyzes 3+ libraries/tools in a single pass and surfaces migration guidance.
- Comprehensive reporting: outputs a Markdown analysis and a raw JSON dataset for reproducibility.
- Use Case: A product team evaluating React state management options can compare Redux, Zustand, Jotai, TanStack Query, and Recoil, then choose an optimal stack.
Quick Start
- Run the data collection pipeline to analyze a chosen ecosystem (e.g., Redux, Zustand, Jotai, TanStack Query) and generate outputs to a specified directory.
- Inspect the generated
[ecosystem]_data.jsonand[ecosystem]_analysis.mdfor decision making.
Dependency Matrix
Required Modules
requests
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: tech-ecosystem-analyzer Download link: https://github.com/windowh1/wbl_residency/archive/main.zip#tech-ecosystem-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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