Can I automate the archiving process without manual confirmation?

Yes, you can enable an 'auto_save' option in your file-handling-preferences.md to skip individual confirmation prompts for trusted patterns.

How does the skill decide where to save files?

It uses content analysis and intent inference to match files against your project's directory structure and specific RULE.md governance files.

Which file formats can the Process File skill handle?

The skill supports .eml (emails), .pdf, .docx, .pptx, .xlsx, and common image formats. Audio and video files can be processed via metadata or custom user-defined methods.

What happens if a tool like markitdown is not installed?

The skill will gracefully warn you about the missing dependency and provide the specific command (e.g., pip install markitdown) to resolve it.

Does this skill require external dependencies?

Yes, for optimal performance it recommends installing 'maildir-utils' (mu) for email parsing and 'markitdown' for Office document conversion.

Intelligent File Archiver & Processor

Name: Intelligent File Archiver & Processor
Author: legacybridge-tech

bylegacybridge-tech

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Productividad y Flujo de Trabajo

Processes and archives various file formats into organized knowledge bases using intelligent directory discovery and content analysis.

Acerca de

The Process File skill automates the ingestion of diverse file types—including emails, PDFs, Office documents, and images—into a structured project repository. By leveraging specialized tools like markitdown and mu-view, it extracts content, analyzes intent, and suggests optimal storage locations based on the AkashicRecords governance framework. The skill proactively learns from user preferences and historical actions, ensuring your documentation and knowledge base remain consistently organized with minimal manual intervention.

Características Principales

3 GitHub stars
Multi-format support for PDFs, Office documents, emails, and images
Intelligent directory discovery via AkashicRecords RULE.md integration
Automated preference learning for personalized archiving patterns
Seamless content extraction and conversion to Markdown format
Parallel multi-file processing using dedicated subagents

Casos de Uso

Batch processing meeting assets and images into a centralized project knowledge base
Automatically categorizing technical papers into specific research directories based on topic
Converting a collection of project emails and PDF reports into a searchable Markdown archive

Acerca de

Características Principales

3 GitHub stars
Multi-format support for PDFs, Office documents, emails, and images
Intelligent directory discovery via AkashicRecords RULE.md integration
Automated preference learning for personalized archiving patterns
Seamless content extraction and conversion to Markdown format
Parallel multi-file processing using dedicated subagents

Casos de Uso

Batch processing meeting assets and images into a centralized project knowledge base
Automatically categorizing technical papers into specific research directories based on topic
Converting a collection of project emails and PDF reports into a searchable Markdown archive