sigmod-author-response
Use when writing SIGMOD author feedback during a PACMMOD round or the revision letter after a major/minor-revision verdict, covering the mid-round feedback window, the four-page letter limit, per-reviewer change highlighting, the extra content page, and anonymity that must hold through resubmission.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-author-response --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.
# SIGMOD Author Response SIGMOD gives authors two distinct speaking turns per round, and they play by different rules. The mid-round **author feedback phase** (about a week, two months after submission — e.g., Sep 10–17, 2026 for Round 3 of SIGMOD 2027) is a short clarification exchange before first verdicts. The **revision letter** accompanies a resubmission after a major or minor revision decisi
What does the sigmod-author-response skill do?
Use when writing SIGMOD author feedback during a PACMMOD round or the revision letter after a major/minor-revision verdict, covering the mid-round feedback window, the four-page letter limit, per-reviewer change highlighting, the extra content page, and anonymity that must hold through resubmission.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-author-response --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.