graphify

Transform folders of code, documents, papers, images, and videos into navigable knowledge graphs.

Updated Jun 30, 2026

Search Tags:#knowledge graph #transcription #repository analysis #graph query #community detection #document intelligence

Ready to run

npx skills add https://github.com/Festo-Wampamba/Claude-Features --skill graphify-festo-wampamba

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/Festo-Wampamba/Claude-Features/tree/main/skills/graphify
Command: npx skills add https://github.com/Festo-Wampamba/Claude-Features --skill graphify-festo-wampamba

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns messy project content into a structured knowledge graph so you can understand relationships, trace dependencies, and answer questions across code, documents, papers, images, and video without manual spelunking.

Core Features & Use Cases

Knowledge Graph Generation: Converts a folder or repository into nodes, edges, and clusters for navigation and analysis.
Cross-Format Analysis: Handles codebases, documentation, research papers, images, and video transcripts in one workflow.
Query and Exploration: Supports graph queries, shortest paths, explanations, and community detection for deeper investigation.
Portable Outputs: Produces HTML visualization, GraphRAG-ready JSON, and markdown reports for reuse across tools and workflows.

Quick Start

Use the graphify skill on the current project directory to build a knowledge graph and generate outputs you can query immediately.

Frequently Asked Questions about graphify

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

FAQPage Schema

How do I build a queryable knowledge graph from a code repository and documents?▼

You can build a knowledge graph by applying deterministic extraction to folders of code, documents, and media, transforming them into navigable nodes and edges. It requires no external dependencies and outputs query-ready formats for immediate analysis.

What is the best way to analyze cross-document relationships in research papers and video transcripts?▼

Cross-format knowledge graph workflows analyze relationships in research papers and video transcripts by applying optional transcription and semantic extraction, creating a unified navigable structure with dependency audit trails.

Can I perform community detection and shortest path queries on a repository analysis graph?▼

You can perform community detection and shortest path queries directly on a repository analysis graph. The process supports graph queries and explanations to investigate clusters and trace dependencies across project content.

Does knowledge graph generation work with images and videos, or just codebases?▼

Knowledge graph generation extends beyond codebases to process images and videos. It applies optional transcription to media files alongside code and documents, creating a comprehensive navigable structure across formats.

What output formats are available for a generated knowledge graph?▼

Generated knowledge graphs output as portable HTML visualizations, GraphRAG-ready JSON for retrieval, and markdown reports. These formats enable immediate reuse across querying tools and cross-format exploration workflows.

How do incremental rebuilds work when updating a project knowledge graph?▼

Incremental rebuilds use cache-aware processing to update a project knowledge graph. This mechanism ensures only modified content undergoes re-extraction, making updates faster while maintaining deterministic relationship outputs.