easypaper-interactive-metadata-build

To generate metadata for research materials, interactively provide a folder path containing your documents. The Skill analyzes the files and conversationally co-authors structured JSON metadata, including title, hypothesis, method, data, and references, for pipeline integration.

Interactive metadata building is a conversational process where AI analyzes your research folder contents and helps you co-author structured JSON metadata. It extracts relevant information from documents and allows tailored control over fields like hypothesis, method, and experiments.

Yes, you can use this skill to extract references and manage assets from a local research folder. It utilizes file-investigation tools to analyze the directory structure and extract relevant information, populating these specific metadata fields during the interactive session.

You create EasyPaper compatible JSON by providing your research documents folder path. The skill interactively processes the materials and generates a structured JSON output that is directly compatible with the EasyPaper paper generation pipeline.

No, the metadata generation process does not require manual input for every field. While it interactively co-authors the metadata with you for nuanced control, it automatically analyzes the research materials folder to extract and suggest relevant information for fields like title and method.

The best way to structure research data is to organize all related materials, including references and assets, into a single local folder. Providing this folder path allows the file-investigation tools to comprehensively analyze the documents and accurately generate the required metadata fields.