メニュー
Comprehensive content quality and maintenance assessment. Evaluates documentation quality, relevance, maintenance needs, and provides actionable recommendations.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | content-audit |
| description | Comprehensive content quality and maintenance assessment. Evaluates documentation quality, relevance, maintenance needs, and provides actionable recommendations. |
| required_roles | {"scribe":"roles/scribe.editor"} |
| personas | ["information-architect","content-strategist","editor"] |
Perform a comprehensive quality and maintenance assessment of documentation or content. This skill evaluates content against quality standards, checks for freshness, identifies maintenance needs, and provides actionable recommendations.
PATH - The directory or file path to audit (e.g., "/docs")SEVERITY - (Optional) Minimum severity level to report: "low", "medium", "high" (default: "medium")CATEGORY - (Optional) Categories to audit: "all", "quality", "relevance", "links", "metadata" (default: "all")FIX_MODE - (Optional) Boolean, whether to suggest or apply automated fixes where possible (default: false)Scan the target PATH to list all content assets.
Evaluate content against quality metrics:
Generate a report of identified issues, categorized by severity:
If FIX_MODE is enabled, generate or apply suggestions for fixes.
A CONTENT_AUDIT_REPORT in markdown format containing:
Normalize named entities and concept variants into canonical forms using controlled vocabularies or standard taxonomies.
Analyze vocabulary overlap and identify named entities unique to domain/document corpora.
Transform lengthy documents into a semantic tree structure. It extracts sections, summaries, and hierarchies optimized for use with Large Language Models (LLMs).
Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling.
Systematic cataloging of information assets. Creates comprehensive inventories or card sorting materials from content.
Generate JSON-LD structured data for web content. Maps content to Schema.org types to improve search engine understanding and rich result eligibility.