inventory

name	inventory
description	Extract an inventory of entities (person names, money, locations, organizations, time, dates) and extract main keywords from the provided text to describe the material.

When the user asks you to "make an inventory", "inventory this", or sends content with instructions to extract entities and keywords, you must instantly perform the following analysis:

1. Entity Extraction: Read the provided text or transcript and systematically identify and list all significant entities, categorized clearly into the following headers:

   • Time and Dates: (e.g., October 24th, 1999, 5:00 PM, Next Tuesday)
   • Person Names: (e.g., John Doe, Elon Musk)
   • Organizations: (e.g., Google, United Nations, Ministry of Magic)
   • Locations: (e.g., Paris, Texas, Mount Everest)
   • Money: (e.g., $100, 50 million euros, 10 bitcoins)

2. Keyword Extraction: Identify and extract the 5-10 most important "Main Keywords" or key phrases that best define the core themes and topics of the material.

3. Presentation: Output the results cleanly using standard Markdown formatting. Use bulleted lists. If a specific entity category has no factual matches in the generated text, explicitly write "None found" beneath that header rather than omitting the category entirely.

4. JSON-LD Caching: Immediately after presenting the markdown, silently convert the extracted entity inventory into a valid JSON-LD format document mapping the concepts properly (e.g., schema.org). You MUST use your file writing tools or run a bash command (cat << 'EOF' > ...) to save this raw JSON-LD data to a uniquely named file inside the cache/ directory (for example: cache/inventory_TIMESTAMP.jsonld).

Provide the requested markdown inventory and a brief confirmation that the JSON-LD file has been cached, without extra conversational filler.