rt-response-to-referees
Use after an R&R (or the simulated rehearsal) to turn a referee report into a point-by-point response letter plus a revision plan — editor first, every comment answered, each empirical fix backed by a real re-run via the target pack's skill and the execution bridge. Defers the venue's response format to the pack + source-map.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-response-to-referees --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.
# Response-to-Referees (rt-response-to-referees) Draft the reply that decides the second round. Full method: [`shared-resources/submission-readiness/response-to-referees.md`](../../../shared-resources/submission-readiness/response-to-referees.md). ## When to trigger - An R&R letter has arrived and needs a point-by-point response + revision. - You want to convert `rt-simulated-referee` output into
What does the rt-response-to-referees skill do?
Use after an R&R (or the simulated rehearsal) to turn a referee report into a point-by-point response letter plus a revision plan — editor first, every comment answered, each empirical fix backed by a real re-run via the target pack's skill and the execution bridge. Defers the venue's response format to the pack + source-map.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-response-to-referees --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.