This one gives Claude the vocabulary and framework to analyze network structures, from finding influential nodes and communities to mapping organizational hierarchies. You'd reach for it when dealing with social networks, citation graphs, supply chains, or any interconnected system where relationships matter as much as the nodes themselves. It covers the core concepts (centrality measures, community detection, graph metrics) and suggests practical applications like fraud detection through transaction networks or identifying bottlenecks in org structures. The repo has 245 stars and passes security audits, so it's been around the block. Honestly most useful if you're regularly working with graph data and want Claude to speak the language without having to explain betweenness centrality from scratch every time.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill network-analysis