add-model

This skill automates extracting pathology model details from PDFs by parsing research papers in the papers/ directory to collect model name, group, datasets, architecture, and release information, then formatting the extracted data into a new row according to the README table schema.

You can automatically update your GitHub README with new pathology models by providing the paper title and repository URL. The skill parses the paper and GitHub repository README to extract model architecture and weight details, appending a formatted row to the README table.

No, you do not need to manually format README table rows when adding pathology foundation models. By parsing the paper and repository, the skill automatically formats the model name, group, datasets, and architecture details into the existing README table schema.

Yes, you can verify model weights and architecture details from a GitHub repository for a README list. The skill reads the repository's README to validate the existence of model weights, architecture specifications, and relevant links before updating the project README.

To add a pathology foundation model to a README table, you must provide the paper title and optionally the GitHub repository URL. The skill requires the corresponding PDF in the papers/ directory to extract the necessary model release, group, and dataset information.