name: inventory-content description: Systematic cataloging of information assets. Creates comprehensive inventories of all content with metadata and characteristics. required_roles: scribe: roles/scribe.viewer personas: [information-architect, content-manager, librarian]

Content Inventory Skill

Create a systematic catalog of information assets within a specified path. This skill builds a comprehensive inventory including metadata, file characteristics, and format analysis to support content governance and strategic planning.

Inputs

• PATH - The directory or file path to inventory (e.g., "/documentation")
• OUTPUT_FORMAT - (Optional) The output format for the inventory, e.g., "csv", "json", "markdown" (default: "json")
• METADATA_EXTRACTION - (Optional) Boolean, whether to extract deep metadata (author, date, tags) (default: true)
• FORMAT_ANALYSIS - (Optional) Boolean, whether to analyze file formats and types (default: true)

Workflow

Step 1: Asset Discovery

Recursively scan the PATH to identify all files and assets.

• Record file paths, names, and sizes.
• Identify file types (Markdown, HTML, PDF, Image, etc.).

Step 2: Metadata Extraction

If METADATA_EXTRACTION is true, extract metadata from each asset:

• System Metadata: Creation date, modification date, owner.
• Embedded Metadata: Frontmatter (YAML), title headers, tags, categories.
• Content Metrics: Word count, reading time estimation.

Step 3: Format & Structure Analysis

If FORMAT_ANALYSIS is true, analyze the structure:

• Template Usage: Identify if standard templates are used.
• Hierarchy Depth: Depth in the directory structure.
• Resource Dependencies: Images or other assets linked.

Step 4: Inventory Report Generation

Compile the data into a structured inventory format (CSV, JSON, or Markdown Table) as specified by OUTPUT_FORMAT.

Required Outputs

A CONTENT_INVENTORY_REPORT in the specified OUTPUT_FORMAT containing:

• Asset List: Full list of discovered assets.
• Metadata Table: Columns for Title, URL/Path, Author, Last Modified, Type, Tags.
• Summary Statistics: Total count by type, average age, volume by category.

Quick Reference

• Purpose: Establish a baseline understanding of content assets for governance.
• Use Case: Migration planning, audit preparation, consolidation projects.