yifanfeng97Community·7 Agent Skills Included

Hyper-Extract

Turn unstructured documents into knowledge graphs and structured data

Extracts structured knowledge from PDFs, reports, and papers into lists, models, knowledge graphs, and hypergraphs. Eliminates manual reading and copy-paste work with 80+ ready templates for finance, legal, medical, and research domains. Lets AI agents design, validate, and optimize extraction templates, then query or export results to Obsidian.

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npx skills add yifanfeng97/Hyper-Extract --all -g -y

All Skills in This Repository (7)

Pure Emerald Level Indicators

📦 In Repo

yifanfeng97

hyper-extract

Design YAML templates for structured knowledge extraction workflows from unstructured text.

brainstorm

Determine extraction types for converting unstructured documents into structured knowledge.

record-designer

Design YAML extraction templates for model, list, and set record types.

yaml-validator

Validates Hyper-Extract YAML templates for syntax and structural correctness.

multilingual

Translate Hyper-Extract YAML templates into bilingual language maps for Chinese, English, and Japanese.

template-optimizer

Validate and optimize YAML templates for naming, multilingual, and schema issues.

graph-designer

Design YAML extraction templates for graph, hypergraph, temporal, and spatial data.

Community

Intermediate

Frequently Asked Questions

FAQPage Schema

How to install Hyper-Extract?▼

Run `npx skills add yifanfeng97/Hyper-Extract --all -g -y` in your terminal to install all skills in this suite globally.

How to extract knowledge graphs from documents?▼

Hyper-Extract parses PDFs and text files with one command, turning them into typed knowledge graphs, hypergraphs, or simple structured lists using ready-made templates.

Can I design custom extraction templates with AI?▼

Yes. The included skills guide your AI agent through brainstorming, designing, validating, and optimizing YAML extraction templates step by step.

Which AI models does Hyper-Extract support?▼

It works with OpenAI, Anthropic Claude, DeepSeek, Alibaba Bailian, and fully local models via vLLM for private on-premise extraction.

Can I use Hyper-Extract without coding?▼

Yes. The command-line tool and 80+ pre-built templates let you extract, search, and visualize knowledge without writing any code.