Route natural language questions to knowledge graph scripts and interpret results.
npx skills add https://github.com/wtyler2505/ProtoPulse --skill graph-wtyler2505
Please help me install this Agent Skill. Skill: graph Source: https://github.com/wtyler2505/ProtoPulse/tree/main/.agents/skills/graph Command: npx skills add https://github.com/wtyler2505/ProtoPulse --skill graph-wtyler2505
This skill enables rapid analysis of knowledge graphs by routing natural language questions to graph operations and presenting results in domain-aware terminology.
Describe a knowledge-graph problem in plain language and ask the graph skill to return structured, actionable insights.
High-intent search queries and answers about installing and using this skill.
Analyze a knowledge graph by submitting natural language questions that are routed to graph scripts. The system interprets the results using domain vocabulary and suggests concrete next steps to act on the insights, covering health checks, triangles, and bridge detection.
You can run graph operations including health checks, triadic analyses, bridge detection, cluster exploration, hub identification, sibling mapping, and traversal. Natural language queries map to these specific graph scripts for targeted exploration of your network.
Yes, you can explore graph clusters and bridges without custom scripts by using the interactive mode. This mode maps natural language questions directly to specific graph operations, returning structured insights and actionable recommendations based on domain vocabulary.
The best way to find structural vulnerabilities in a knowledge graph is by running health checks and bridge detection operations. These identify critical connections and structural weaknesses, with results interpreted using domain vocabulary to suggest actionable next steps.
Knowledge graph analysis provides actionable recommendations alongside raw data. It interprets graph script results using domain vocabulary and suggests concrete next steps, turning structural insights from operations like traversal and cluster exploration into actionable recommendations.
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shakedfbRoute natural language queries to graph scripts and interpret results in domain vocabulary.
