Digital Archive

🌐Community
by jamditis Β· vlatest Β· Repository

This skill creates a searchable digital archive of your conversations for later reference and analysis – incredibly useful for tracking ideas & decisions.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add digital-archive npx -- -y @trustedskills/digital-archive
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "digital-archive": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/digital-archive"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill creates a searchable digital archive of your conversations, documents, and online content for later reference and analysis. It integrates data from various sources like OCR pipelines (newspapers), web scraping (articles), and social media transcripts. The collected information is structured using a unified schema with over 35 fields and enriched by AI to extract key concepts, entities, and summaries, ultimately storing the data in Google Sheets for easy access and exportable as JSON or CSV files.

When to use it

  • Track project decisions: Capture meeting notes, research findings, and action items from various sources into a centralized archive.
  • Analyze media coverage: Compile articles, social media posts, and transcripts related to specific topics for comprehensive understanding.
  • Preserve historical records: Build an archive of news articles, online content, or other digital materials for long-term preservation and research.
  • Knowledge Management: Organize information from diverse sources into a structured format with AI-powered tagging and categorization.

Key capabilities

  • Multi-source integration: Combines data from OCR pipelines, web scraping, and social media platforms.
  • Unified schema: Structures archived content using a consistent 35+ field schema.
  • AI enrichment: Uses Gemini to generate summaries, extract pull quotes, identify key concepts, and categorize content.
  • Entity extraction: Identifies and extracts entities mentioned within the archived content.
  • PDF archiving: Supports creating PDF archives based on WCAG 2.1 guidelines.
  • Data storage in Google Sheets: Stores archive records in a Google Sheet database.
  • Exportable data: Allows exporting data as JSON or CSV files.

Example prompts

  • "Create an archive record for this article about journalism ethics."
  • "Add this social media post to the digital archive, categorizing it under 'Audience & Public Engagement'."
  • β€œExtract key concepts from this newspaper article and add them to the archive record.”

Tips & gotchas

  • Each archived item is assigned a unique ID in the format SOURCE-00001.
  • The skill utilizes AI enrichment, which may occasionally produce inaccurate or incomplete results. Review enriched data carefully.
  • Content types are limited to: Article, Video, Audio, Social Post, and Newspaper Article.

Tags

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Details

Version
vlatest
License
Author
jamditis
Installs
32

🌐 Community

Passed automated security scans.