Create and query persistent knowledge graphs from codebases, documents, and multimedia files.
npx skills add https://github.com/JuanMS20/bundles-skills --skill graphify-juanms20
Please help me install this Agent Skill. Skill: graphify Source: https://github.com/JuanMS20/bundles-skills/tree/main/skills/graphify Command: npx skills add https://github.com/JuanMS20/bundles-skills --skill graphify-juanms20
This Skill automates the process of creating a persistent knowledge graph from various data sources, including codebases, documentation, and multimedia files. It facilitates deep exploration and analysis of the data by allowing users to query the graph.
Run the command /graphify /path/to/your/data to build a knowledge graph from your data.
High-intent search queries and answers about installing and using this skill.
To build a knowledge graph from a codebase or documents, run the command `/graphify /path/to/your/data` to automatically parse files and create a navigable graph. This process analyzes folders and repositories to map relationships between different entities.
Knowledge graph querying for codebase analysis is the process of exploring mapped relationships between code files and documentation. It allows you to perform complex queries to understand how different parts of a software project are related and identify cross-document patterns.
Yes, you can use Python and NetworkX to create persistent knowledge graphs. This Skill requires Python and utilizes NetworkX alongside libraries like pandas and sklearn to automate graph creation and perform community detection across your data.
The best way to identify cross-document relationships is to use community detection on a generated knowledge graph. By turning your folder of files into a navigable graph, you can surface patterns and connections across documents, code, and multimedia.
Yes, graphify works with multimedia files and documentation. It automates the creation of persistent knowledge graphs using various data sources, including codebases, documents, and multimedia files, allowing you to query the entire dataset.
Yes, you need to install specific Python libraries for codebase graph creation. The Skill requires Python along with networkx, numpy, pandas, sklearn, requests, and graphifyy to handle data processing and graph querying tasks.
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