What problem does it solve? Preparing accepted manuscripts for publication in Open Journal Systems (OJS) requires manually extracting metadata, parsing titles and authors, formatting references, and configuring issue records, which is slow and error-prone. This Skill automates that post-acceptance production workflow by inspecting journal sources first and generating only the fields needed for the selected task. ## Core Features & Use Cases - Source-first journal detection: Inspects journal websites, published PDFs, and policy documents to detect ISSN, DOI prefixes, URL path conventions, licence policies, and Publisher ID usage before asking configuration questions. - Article publication preparation: Produces a fixed six-step response (Title & Abstract, Contributors, Metadata, References, Galleys, Issue) with correct OJS field semantics, including Prefix/Title/Subtitle splitting and concise semantic article URL Paths. - Issue preparation and QA: Builds Issue Data, Issue Galley, and Identifiers scopes, generates authorised issue descriptions, and runs production readiness checks returning ready, ready_with_warnings, or not_ready. - Use Case: An editor uploads a final accepted manuscript PDF and the journal website URL; the Skill detects the journal profile, extracts authors, affiliations, references, and metadata, and returns a copy-ready OJS publication record with validation warnings. ## Quick Start Prepare this accepted manuscript PDF for publication in OJS using the journal website I provide, and return the full six-step publication record.
