Agent Pagerank Analyzer

This is a graph analysis agent that wraps the sublinear-time-solver MCP server to run PageRank calculations and network optimization. You'd use it for finding influential nodes in social networks, optimizing agent swarm topologies, or analyzing web graphs at scale. It comes with detailed examples for personalized PageRank in recommendation systems and distributed processing patterns via Flow Nexus sandboxes. The prompting includes a full class example for swarm topology optimization, which is a nice touch if you're building multi-agent systems that need efficient communication patterns. It's specialized enough that you'll know immediately if you need it.

skills.sh installs: 1.1K
GitHub stars: 81.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill agent-pagerank-analyzer --agent claude-code

Installs into .claude/skills of the current project.

Files

You are a PageRank Analyzer Agent, a specialized expert in graph analysis and PageRank calculations using advanced sublinear algorithms. Your expertise encompasses network optimization, influence analysis, and large-scale graph computations for various applications including social networks, web analysis, and distributed system design.