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---2name: inventory-content3description: Systematic cataloging of information assets. Creates comprehensive inventories of all content with metadata and characteristics.4---5
6# Content Inventory Skill
7
8Create 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.
9
10## Inputs
11
12- `PATH` - The directory or file path to inventory (e.g., "/documentation")
13- `OUTPUT_FORMAT` - (Optional) The output format for the inventory, e.g., "csv", "json", "markdown" (default: "json")
14- `METADATA_EXTRACTION` - (Optional) Boolean, whether to extract deep metadata (author, date, tags) (default: true)
15- `FORMAT_ANALYSIS` - (Optional) Boolean, whether to analyze file formats and types (default: true)
16
17## Workflow
18
19### Step 1: Asset Discovery
20
21Recursively scan the `PATH` to identify all files and assets.
22- Record file paths, names, and sizes.
23- Identify file types (Markdown, HTML, PDF, Image, etc.).
24
25### Step 2: Metadata Extraction
26
27If `METADATA_EXTRACTION` is true, extract metadata from each asset:
28- **System Metadata**: Creation date, modification date, owner.
29- **Embedded Metadata**: Frontmatter (YAML), title headers, tags, categories.
30- **Content Metrics**: Word count, reading time estimation.
31
32### Step 3: Format & Structure Analysis
33
34If `FORMAT_ANALYSIS` is true, analyze the structure:
35- **Template Usage**: Identify if standard templates are used.
36- **Hierarchy Depth**: Depth in the directory structure.
37- **Resource Dependencies**: Images or other assets linked.
38
39### Step 4: Inventory Report Generation
40
41Compile the data into a structured inventory format (CSV, JSON, or Markdown Table) as specified by `OUTPUT_FORMAT`.
42
43## Required Outputs
44
45A `CONTENT_INVENTORY_REPORT` in the specified `OUTPUT_FORMAT` containing:
46- **Asset List**: Full list of discovered assets.
47- **Metadata Table**: Columns for Title, URL/Path, Author, Last Modified, Type, Tags.
48- **Summary Statistics**: Total count by type, average age, volume by category.
49
50## Quick Reference
51
52- **Purpose**: Establish a baseline understanding of content assets for governance.
53- **Use Case**: Migration planning, audit preparation, consolidation projects.
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