hrm-submission
Use when running the final pre-submission preflight for a Human Resource Management (Wiley "HRM") manuscript via Wiley ScholarOne — double-blind anonymization, the title-page split, APA style, the data-availability statement, ORCID, and the dual-contribution check the EIC screens on. Final checks; it does not draft content.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-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 (hrm-submission) ## When to trigger - "Submitting tomorrow" — last check before pressing submit on ScholarOne - Unsure how to anonymize for double-blind review and what goes on the separate title page - Confirming APA style, the data-availability statement, and ORCID are in order - Making sure the manuscript will clear the EIC's fit-and-relevance screen, not just the rules #
What does the hrm-submission skill do?
Use when running the final pre-submission preflight for a Human Resource Management (Wiley "HRM") manuscript via Wiley ScholarOne — double-blind anonymization, the title-page split, APA style, the data-availability statement, ORCID, and the dual-contribution check the EIC screens on. Final checks; it does not draft content.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-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.