skills.rest
kitchen-engineer42kitchen-engineer42Community·1 Agent Skills Included

Anything2Ontology

Convert documents, videos, and repos into structured knowledge ontologies

Converts PDFs, slides, spreadsheets, YouTube videos, websites, and GitHub repos into clean Markdown, then chunks, extracts, and assembles structured knowledge units. Eliminates the problem of dumping oversized, noisy raw files into a model context that cannot handle them. Produces a self-contained ontology with a product spec, knowledge map, and glossary that a coding agent can read and build from immediately.
130|28
↗
npx skills add kitchen-engineer42/Anything2Ontology --all -g -y
Available:

Explains the four-module pipeline architecture, routing rules, and configuration so the agent knows how each parsing, chunking, extraction, and assembly stage fits together when running the workflow.

All Skills in This Repository (1)

Pure Emerald Level Indicators
📦 In Repo
kitchen-engineer42kitchen-engineer42

skill-creator

Build self-contained skill units from procedural guidance and bundled resources.

Community
Advanced

Frequently Asked Questions

FAQPage Schema
How to install Anything2Ontology?▼

Run `npx skills add kitchen-engineer42/Anything2Ontology --all -g -y` in your terminal to install everything globally.

What does Anything2Ontology do?▼

It turns raw inputs like PDFs, spreadsheets, YouTube videos, websites, and GitHub repos into a structured knowledge ontology with a product spec that a coding agent can build from.

Why not just paste documents into a chatbot?▼

Large files are too big and noisy for a model's context window. This pipeline parses, chunks, and extracts only the structured facts, skills, and relationships so nothing important is lost.

What file types and sources are supported?▼

It handles PDFs (including scanned ones via OCR), Word and PowerPoint files, Excel and CSV spreadsheets, YouTube and Bilibili videos, GitHub repositories, and general websites.

Do I need coding skills to use Anything2Ontology?▼

Basic command-line familiarity helps for setup and API keys, but the four pipeline steps run as simple commands and the final ontology is generated automatically.

Related Repositories in Data & Analytics

View All in Data & Analytics→
PaddlePaddlePaddlePaddle
87.3k

PaddleOCR

Extract text, tables, and formulas from PDFs and images

Official📦 2 Skills
D4VinciD4Vinci
73.3k

Scrapling

Scrape any website and bypass anti-bot protection with AI

Community📦 1 Skills
mvanhornmvanhorn
60.8k

last30days-skill

Research any topic across Reddit, X, YouTube, and the web

Community📦 2 Skills