lang-submission
Use when running the final pre-submission preflight for Language (LSA) via the Cambridge University Press ScholarOne portal — double-anonymous anonymization, the section and word-limit rules (General Research Article ≤18,000 words; Review Article ≤5,000), the abstract, Leipzig glossing, IPA, the Language Style Sheet, figure alt text, and open-access status. Final checks; it does not draft content.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-submission --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Submission Preflight (lang-submission) The last check before you press submit on **Cambridge University Press ScholarOne** — the portal for *Language* since **January 2026**, when the journal moved to CUP and became **fully open access from Volume 102**. *Language* is **double-anonymous**, so the most common avoidable failures are an under-anonymized manuscript and self-citations that unmask the
What does the lang-submission skill do?
Use when running the final pre-submission preflight for Language (LSA) via the Cambridge University Press ScholarOne portal — double-anonymous anonymization, the section and word-limit rules (General Research Article ≤18,000 words; Review Article ≤5,000), the abstract, Leipzig glossing, IPA, the Language Style Sheet, figure alt text, and open-access status. Final checks; it does not draft content.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-submission --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.