I have completed and released my latest open-source project, academic-article-schema SKILL.md. a reusable LLM Agent Skill designed for researchers, academicians, journal authors, and research developers who have online web profiles.
The SKILL.md can be downloaded from academic-article-schema SKILL.md GitHub project page
The skill generates structured academic metadata for research articles and datasets for use on their online web profiles.
It can produce Google Scholar citation_* meta tags, Dublin Core metadata, Open Graph tags, and Schema.org ScholarlyArticle and Dataset JSON-LD. It also supports configuration of author details, ORCID, institutional affiliation, publisher information, and dataset links.
Why Academic Publication Metadata on Web Pages Matters ?
Publishing a paper online is not enough. Search engines, academic indexes, reference managers, and AI-based research tools need structured information to correctly identify the title, authors, publication date, DOI, journal, dataset, and other important details.
Good metadata can improve the visibility and machine readability of academic publications. It can also help services such as Google Scholar, Google Dataset Search, Zotero, Mendeley, search engines, and AI research tools understand the relationship between a research article, its authors, institution, and associated datasets.
For academicians, this is important because research visibility affects how easily other researchers can discover, reference, and cite our work.
SKILL.md : Reusable LLM Skill
The repository includes a SKILL.md, configurable author defaults, reference material, and example templates. It is designed to be reused across multiple papers instead of rebuilding the same instructions for every project.
The skill can also be adapted for several LLM and agent environments described in the project documentation, including ChatGPT/Codex, Google Antigravity, Open WebUI, Claude Projects, Cursor, and other coding agents.
For researchers who maintain personal academic websites, institutional repositories, research project pages, or dataset pages, this skill provides a practical way to produce more consistent academic metadata with the help of an LLM.
The main objective is simple: make academic publications easier for machines to understand, and therefore easier for people to discover.