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Text network analysis and knowledge graphs via the InfraNodus MCP server: analyze text structure, find content gaps, generate research questions and ideas, compare texts, optimize content for SEO/GEO, analyze Google search results, GraphRAG retrieval, structured memory. Accepts text, URLs (YouTube transcription included), and saved graphs. Also builds knowledge graphs of code repos and Obsidian vaults: invoked in a project folder ("graph this repo", "analyze this vault", "/infranodus") it mines docs, PDF text, docstrings, WHY/NOTE comments, and commit/PR/issue history into saved graphs with a report, and keeps them current by replacing the statements of changed files in place. When infranodus/manifest.json exists in the project root, answer questions about themes, decisions, rationale, or gaps by querying the existing graphs FIRST, before reading files. For an LLM-authored knowledge base built from sources (wiki pages, curated ontologies), prefer the llm-wiki skill.

Install

npx skills add infranodus/skills --skill infranodus -a claude-code

Installs to .claude/skills/infranodus/ · Each command fetches the skill straight from GitHub with the open skills CLI.

No download: this skill’s licence (No licence) does not let us redistribute its files. The install commands fetch them from GitHub instead.

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Safety checks on SKILL.md

  • Ships scripts we have not reviewedLow

Why 70

Security85
Provenance65
Maintenance100
Licence25
Adoption36

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