Agent skill · Code Review & Quality

prl-submission

Use when running the final pre-submission preflight for a Physical Review Letters manuscript — length check, format, files, Supplemental Material, classification, author info, and metadata. Verifies submission readiness; does not write content.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill prl-submission --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: none
Path: Physical-Review-Letters-Skills/skills/prl-submission/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# PRL Submission Preflight (prl-submission) ## When to trigger - "Submitting tonight" — the last check before the upload button - You are unsure which files the APS submission system expects - You need to confirm the manuscript passes the automated length check - You want a single gate before handing off to peer review ## Pre-submission checklist ### Length and format - [ ] Manuscript passes the c

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About this skill
What does the prl-submission skill do?

Use when running the final pre-submission preflight for a Physical Review Letters manuscript — length check, format, files, Supplemental Material, classification, author info, and metadata. Verifies submission readiness; does not write content.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill prl-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.

Keep going