Convert code, documentation, papers, and images into a knowledge graph.
npx skills add https://github.com/tranvietanh0/StackTheRing --skill t1k-graphify
Please help me install this Agent Skill. Skill: t1k:graphify Source: https://github.com/tranvietanh0/StackTheRing/tree/main/.claude/skills/t1k-graphify Command: npx skills add https://github.com/tranvietanh0/StackTheRing --skill t1k-graphify
This Skill addresses the challenge of understanding complex codebases, architecture analysis, and cross-file relationship mapping by converting code, documentation, papers, and images into a structured, queryable knowledge graph.
Build a knowledge graph from the current directory using 'graphify .'.
High-intent search queries and answers about installing and using this skill.
To build a knowledge graph for architecture analysis, run the 'graphify .' command in your project directory to convert code into a structured, queryable representation of dependencies and cross-file relationships.
Mapping cross-file relationships is achieved by transforming code into a queryable knowledge graph, which visually represents dependencies and interactions between files to help you understand the existing architecture.
Yes, building a knowledge graph from code and documentation requires Python 3.10 or higher, along with the graphifyy package installed in your environment to process and structure the files.
Yes, you can analyze papers and images alongside code; the tool converts these mixed inputs into a unified knowledge graph to map relationships and dependencies across different file formats.
You need a tree-sitter AST knowledge graph when planning new features in complex codebases, allowing you to visualize architecture and identify potential dependency conflicts before making changes.
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hafley66Explain tree-sitter's parsing model and node classification for CST vs AST debugging.
kenzot25Transform source code repositories into queryable knowledge graphs for AI assistants.
