inventory-content
Systematic cataloging of information assets. Creates comprehensive inventories of all content with metadata and characteristics.
适合你，如果你需要全面掌握组织内的所有内容资产及其元数据
npx oh-my-skill add dandye/ai-runbooks/inventory-contentcurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- dandye/ai-runbooks/inventory-contentnpx oh-my-skill verify dandye/ai-runbooks/inventory-content怎么用
商店整理自技能原文 · 版本 086cbf6 · 表述以原文为准该技能会扫描你指定的文件夹或路径，找出所有文件，记录它们的名称、大小、类型、创建日期、作者、标签等信息，并生成一份结构化的资产清单（支持 CSV、JSON 或 Markdown 表格）。
当你要求对某个内容路径进行资产清点、制作目录或生成文件清单时触发。
技能原文 SKILL.md
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.