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.
1---2type: Skill3name: inventory-content4description: Systematic cataloging of information assets. Creates comprehensive inventories of all content with metadata and characteristics.5required_roles:6 scribe: roles/scribe.viewer7personas: [information-architect, content-manager, librarian]8generated:9 by: process:google-labs-jules10 at: 2026-01-29T21:19:07Z11---1213# Content Inventory Skill1415Create 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.1617## Inputs1819- `PATH` - The directory or file path to inventory (e.g., "/documentation")20- `OUTPUT_FORMAT` - (Optional) The output format for the inventory, e.g., "csv", "json", "markdown" (default: "json")21- `METADATA_EXTRACTION` - (Optional) Boolean, whether to extract deep metadata (author, date, tags) (default: true)22- `FORMAT_ANALYSIS` - (Optional) Boolean, whether to analyze file formats and types (default: true)2324## Workflow2526### Step 1: Asset Discovery2728Recursively scan the `PATH` to identify all files and assets.29- Record file paths, names, and sizes.30- Identify file types (Markdown, HTML, PDF, Image, etc.).3132### Step 2: Metadata Extraction3334If `METADATA_EXTRACTION` is true, extract metadata from each asset:35- **System Metadata**: Creation date, modification date, owner.36- **Embedded Metadata**: Frontmatter (YAML), title headers, tags, categories.37- **Content Metrics**: Word count, reading time estimation.3839### Step 3: Format & Structure Analysis4041If `FORMAT_ANALYSIS` is true, analyze the structure:42- **Template Usage**: Identify if standard templates are used.43- **Hierarchy Depth**: Depth in the directory structure.44- **Resource Dependencies**: Images or other assets linked.4546### Step 4: Inventory Report Generation4748Compile the data into a structured inventory format (CSV, JSON, or Markdown Table) as specified by `OUTPUT_FORMAT`.4950## Required Outputs5152A `CONTENT_INVENTORY_REPORT` in the specified `OUTPUT_FORMAT` containing:53- **Asset List**: Full list of discovered assets.54- **Metadata Table**: Columns for Title, URL/Path, Author, Last Modified, Type, Tags.55- **Summary Statistics**: Total count by type, average age, volume by category.5657## Quick Reference5859- **Purpose**: Establish a baseline understanding of content assets for governance.60- **Use Case**: Migration planning, audit preparation, consolidation projects.