القائمة
Generate hierarchical site structure and navigation maps. Creates visual representations of information architecture and content relationships.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | sitemap-generate |
| description | Generate hierarchical site structure and navigation maps. Creates visual representations of information architecture and content relationships. |
| required_roles | {"scribe":"roles/scribe.viewer"} |
| personas | ["information-architect","ux-designer","web-developer"] |
Generate a hierarchical representation of the site structure and navigation maps. This skill visualizes the information architecture to support user experience design and content organization.
PATH - The root directory of the project or site (e.g., "/project")HIERARCHICAL - (Optional) Boolean, whether to strictly follow directory hierarchy (default: true)CROSS_REFERENCES - (Optional) Boolean, whether to include cross-links between pages (default: false)EXPORT_FORMAT - (Optional) Output format: "markdown", "xml", "svg", "mermaid" (default: "mermaid")Traverse the PATH to understand the directory and file structure.
If CROSS_REFERENCES is true, analyze links within content to identify non-hierarchical connections.
Convert the structural tree into the requested EXPORT_FORMAT.
For Mermaid (Diagram):
For XML (Standard Sitemap):
Return the generated sitemap code or file.
A SITEMAP_OUTPUT string containing the sitemap representation in the specified OUTPUT_FORMAT.
Example (Mermaid):
graph TD
Root[Home] --> Docs[Documentation]
Root --> Blog[Blog]
Docs --> API[API Reference]
Docs --> Guides[User Guides]
API --> Auth[Authentication]
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.