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digital-archive

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AI-powered digital archives with knowledge graphs.

Data & Analytics#multi-source#archive#knowledge-graph#entity-extraction#ai-enrichment#export-pipelines
Authorjamditis
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Building AI-enhanced digital archives from multi-source content, unifying data sources into a searchable knowledge base and structured archive.

Core Features & Use Cases

  • AI enrichment and knowledge graph construction to connect entities across articles, transcripts, and OCR'd content.
  • Multi-source ingestion, normalization, and unified schema mapping to produce consistent archives.
  • Entity extraction and relationship mapping to enable advanced search, recommendations, and provenance tracking.
  • PDF archival generation and accessible exports for long-term preservation and sharing.
  • Validation, quality checks, and export pipelines feeding frontend systems and data stores.

Quick Start

Start by feeding a dataset of sources (OCR'd newspapers, web articles, and transcripts) into the digital-archive workflow to generate an AI-enriched archive with a linked knowledge graph.

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: digital-archive
Download link: https://github.com/jamditis/claude-skills-journalism/archive/main.zip#digital-archive

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