| 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.
