infranodus

Analyze text and URLs to detect content gaps via knowledge graphs.

3|Updated May 11, 2026

Search Tags:#content gaps #text analysis #seo optimization #graphrag #knowledge graphs #memory retrieval #infranodus

Ready to run

npx skills add https://github.com/JeromyJSmith/lattice-platform --skill infranodus

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: infranodus
Source: https://github.com/JeromyJSmith/lattice-platform/tree/main/.agents/skills/skills-master/infranodus-cli
Command: npx skills add https://github.com/JeromyJSmith/lattice-platform --skill infranodus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Finds structure, gaps, and latent opportunities inside text so you can improve understanding, build knowledge graphs, and strengthen SEO/content coverage.

Core Features & Use Cases

Text network analysis & knowledge graphs: Build clusters, relations, and conceptual gateways from plain text, URLs, or existing InfraNodus graphs.
Content gap detection & SEO/GEO optimization: Identify underdeveloped topics, generate bridging ideas, and propose improvements for search intent coverage.
GraphRAG-style retrieval & structured memory: Retrieve from saved knowledge graphs and store or query entity-linked memories for later use.

Quick Start

Ask the skill to generate a content-gaps report from a URL so it can return missing topical clusters and concrete research ideas.

Frequently Asked Questions about infranodus

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find content gaps in my text for SEO optimization?▼

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.

What is GraphRAG memory retrieval from knowledge graphs?▼

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.

Can I build a knowledge graph from a YouTube URL transcription?▼

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.

How do I compare text overlap and differences across multiple sources?▼

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.

Do I need an InfraNodus API key to use the knowledge graph analysis tools?▼

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.

What's the best way to generate research questions from existing text?▼

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.