google-drive-knowledge-organizer

name	google-drive-knowledge-organizer
description	Organize Google Drive documents using meta-layer concepts and knowledge graph relationships. Auto-categorizes documents, creates folder structures, generates knowledge maps, and maintains semantic organization. Use when user wants to "organize Drive by concepts", "restructure Drive folders", "categorize documents", or "create knowledge-based Drive organization".

Google Drive Knowledge Organizer

Overview

Analyzes document content and organizes Google Drive using meta-layer concepts, creating semantic folder structures and maintaining knowledge-based document organization.

When to Use

Trigger on:

• "Organize my Drive by concepts"
• "Restructure Drive folders using meta-layer"
• "Categorize documents by content"
• "Create knowledge-based Drive organization"
• "Auto-organize Drive documents"
• "Generate Drive knowledge map"

Core Capabilities

1. Content-Based Categorization

• Analyzes document content to identify key concepts
• Maps documents to meta-layer primitives and frameworks
• Groups related documents by semantic similarity
• Suggests folder structures based on content themes

2. Semantic Folder Structure

• Creates folder hierarchies based on meta-layer taxonomy
• Organizes by concepts like "Governance", "Trust", "Coordination"
• Maintains both topic-based and format-based organization
• Supports multiple organizational schemes simultaneously

3. Knowledge Relationship Mapping

• Identifies connections between documents
• Creates visual knowledge maps of document relationships
• Tracks citation networks and reference patterns
• Suggests document clusters and research themes

Organization Workflows

1. Initial Drive Analysis

# Analyze entire Drive for organizational opportunities
python scripts/analyze-drive-organization.py --drive-root <FOLDER_ID>

2. Concept-Based Reorganization

# Reorganize based on meta-layer concepts
python scripts/reorganize-by-concepts.py --source-folder <ID> --create-structure

3. Knowledge Map Generation

# Generate visual knowledge map
python scripts/generate-drive-knowledge-map.py --output knowledge/drive-map.html

Configuration

Organization Schema (config/drive-organization.yaml)

organization_schemes:
  meta_layer:
    root_folder: "Meta-Layer Knowledge"
    structure:
      - name: "Concepts"
        subfolders:
          - "Collective Intelligence"
          - "Stigmergy"
          - "Trust Orchestration"
          - "Interface Governance"
      - name: "Primitives"
        subfolders:
          - "Smart Tags"
          - "Bridges"
          - "Overlay Applications"
          - "Presence"
      - name: "Frameworks"
        subfolders:
          - "Metaweb"
          - "Web Cake Model"
          - "Overweb Pattern"

  document_types:
    root_folder: "Document Types"
    structure:
      - name: "Research Papers"
      - name: "Meeting Notes"
      - name: "Drafts"
      - name: "Reference Materials"

content_analysis:
  concept_detection:
    min_confidence: 0.7
    context_window: 500
    use_embeddings: true
  
  relationship_detection:
    citation_patterns: true
    concept_overlap: true
    author_networks: true

Categorization Rules

categorization_rules:
  # Auto-categorize by content patterns
  patterns:
    - pattern: "collective intelligence|stigmergy|coordination"
      category: "Coordination Theory"
      confidence: 0.8
    
    - pattern: "overlay|meta-layer|above the webpage"
      category: "Meta-Layer Architecture"
      confidence: 0.9
    
    - pattern: "trust|verification|identity"
      category: "Trust Infrastructure"
      confidence: 0.7

  # File type specific rules
  file_types:
    ".docx": 
      default_category: "Documents"
      analyze_content: true
    ".pdf":
      default_category: "Research"
      extract_metadata: true
    ".gdoc":
      default_category: "Collaborative"
      track_changes: true

Organization Strategies

1. Hierarchical Organization

Meta-Layer Knowledge/
├── 01-Foundational-Concepts/
│   ├── Collective-Intelligence/
│   ├── Stigmergy/
│   └── Trust-Orchestration/
├── 02-Technical-Primitives/
│   ├── Smart-Tags/
│   ├── Bridges/
│   └── Overlay-Applications/
├── 03-Frameworks/
│   ├── Metaweb/
│   ├── Web-Cake-Model/
│   └── Overweb-Pattern/
└── 04-Applications/
    ├── Use-Cases/
    ├── Implementations/
    └── Case-Studies/

2. Cross-Reference Organization

• Documents can exist in multiple conceptual folders via shortcuts
• Maintains original locations while providing semantic access
• Creates "Views" folders that group by different criteria
• Supports both hierarchical and network-based organization

3. Dynamic Organization

• Automatically updates organization as new documents are added
• Learns from user corrections and preferences
• Adapts folder structures based on content evolution
• Maintains organization history for rollback

Utility Scripts

Analysis & Planning

# Analyze current Drive organization
python scripts/analyze-current-organization.py --report-format html

# Suggest reorganization plan
python scripts/suggest-reorganization.py --dry-run

# Estimate reorganization impact
python scripts/estimate-reorganization.py --show-conflicts

Organization Execution

# Execute reorganization plan
python scripts/execute-reorganization.py --plan reorganization-plan.json

# Create concept-based folder structure
python scripts/create-concept-folders.py --schema meta_layer

# Batch move documents by category
python scripts/batch-move-documents.py --category "Trust Infrastructure"

Knowledge Mapping

# Generate document relationship graph
python scripts/generate-document-graph.py --format graphml

# Create concept co-occurrence matrix
python scripts/analyze-concept-cooccurrence.py --output concepts-matrix.csv

# Export knowledge map data
python scripts/export-knowledge-map.py --format json

Integration Features

Neo4j Integration

• Syncs Drive organization with knowledge graph
• Creates MLSource nodes with Drive folder metadata
• Links documents to concepts based on folder placement
• Maintains bidirectional sync between Drive and graph

Metadata Enhancement

# Add meta-layer metadata to Drive documents
{
  "concepts": ["collective intelligence", "stigmergy"],
  "primitives": ["smart tags", "bridges"],
  "frameworks": ["metaweb"],
  "organization_version": "2024-01",
  "auto_categorized": true,
  "confidence_score": 0.85
}

Search Enhancement

• Creates searchable tags based on content analysis
• Generates document summaries for quick reference
• Maintains keyword indexes for each organizational category
• Enables semantic search across organized content

Monitoring & Maintenance

Organization Health

# Check organization consistency
python scripts/check-organization-health.py

# Find misplaced documents
python scripts/find-misplaced-documents.py --suggest-moves

# Validate folder structure
python scripts/validate-folder-structure.py --schema meta_layer

Usage Analytics

• Tracks which organizational schemes are most used
• Identifies frequently accessed document clusters
• Monitors search patterns and access frequency
• Suggests optimization based on usage patterns

Maintenance Tasks

# Clean up empty folders
python scripts/cleanup-empty-folders.py --dry-run

# Merge duplicate folders
python scripts/merge-duplicate-folders.py --interactive

# Update organization based on new content
python scripts/update-organization.py --incremental

Visualization & Reporting

Knowledge Maps

• Interactive HTML visualizations of document relationships
• Concept clustering diagrams
• Citation network graphs
• Temporal evolution of knowledge organization

Organization Reports

# Generate organization report
python scripts/generate-organization-report.py --format pdf

# Document distribution analysis
python scripts/analyze-document-distribution.py --chart

# Concept coverage report
python scripts/concept-coverage-report.py --missing-concepts

Dashboard Integration

• Real-time organization health metrics
• Document categorization accuracy
• User interaction patterns with organized content
• Organizational scheme effectiveness scores

Related Skills

• google-drive-document-ingestion: For processing organized documents
• google-drive-watcher: For maintaining organization as content changes
• add-to-meta-layer-graph: For syncing organization with knowledge graph