infranodus

Content gap detection identifies underdeveloped topics and missing clusters within text to improve SEO coverage. This skill processes plain text or URLs to build knowledge graphs, revealing latent topical gaps and proposing bridging research ideas to strengthen search intent coverage.

GraphRAG memory retrieval queries saved knowledge graphs to extract structured, entity-linked context. This skill retrieves stored graph data using specific graph names and context parameters, enabling structured memory lookups for later analysis and research generation.

Yes, you can build a knowledge graph from a YouTube URL transcription. The skill processes URLs to extract text, generating network clusters, conceptual relations, and topical gateways that visually map the video's informational structure.

You can compare text across multiple inputs by performing overlap, difference, and merge operations. The skill processes plain text, URLs, and existing graphs to highlight shared concepts and distinct structural gaps between the datasets.

Yes, you need an InfraNodus MCP server connection via mcporter with valid authentication. The skill requires either an INFRANODUS_API_KEY or OAuth-cached tokens to invoke the infranodus tools for graph creation and text analysis.

Generating research questions from text uses knowledge graph analysis to find structural gaps and conceptual gateways. The skill analyzes plain text or saved graphs to propose concrete research ideas and identify underdeveloped topics requiring further exploration.