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document-indexing

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Unlock document insights with AI-powered metadata extraction.

Data & Analytics#automation#knowledge graph#metadata extraction#topic modeling#AI classification#content analysis#document indexing
Authorboringdata
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Manually categorizing and tagging documents is time-consuming and inconsistent. This skill automates the extraction of structured metadata from your documents using AI, making your content instantly searchable, discoverable, and ready for advanced analysis.

Core Features & Use Cases

  • AI-Powered Metadata: Automatically classify content types (blog, tutorial, guide), extract primary topics, and identify tools/technologies.
  • Structural Analysis: Detect if documents contain code examples, step-by-step procedures, or narrative structures.
  • Batch Processing: Index multiple documents concurrently for rapid processing of large datasets.
  • Use Case: You've ingested hundreds of technical articles. Use this skill to automatically tag each article with its content type (e.g., "TUTORIAL"), key topics (e.g., "Machine Learning", "Python"), and whether it contains code, enabling precise searches and targeted content recommendations.

Quick Start

Index all documents from "https://example.com/" to extract their content types and topics.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: document-indexing
Download link: https://github.com/boringdata/kurt-demo/archive/main.zip#document-indexing

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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