sigmod-camera-ready
Use when converting an accepted SIGMOD research paper into its PACMMOD journal version, covering the port from the ACM submission template to PACMMOD format, de-anonymization, per-round issue placement, ACM DL metadata, conference presentation logistics, and the post-acceptance artifact and ARI handoff.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-camera-ready --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 Camera Ready Acceptance at SIGMOD produces a journal article, not a conference paper: the final version appears in an issue of PACMMOD (Proceedings of the ACM on Management of Data), with one issue corresponding to each submission round, and the authors are invited to present at the SIGMOD conference itself. Camera-ready work therefore splits into a publication stream (ACM) and a presenta
What does the sigmod-camera-ready skill do?
Use when converting an accepted SIGMOD research paper into its PACMMOD journal version, covering the port from the ACM submission template to PACMMOD format, de-anonymization, per-round issue placement, ACM DL metadata, conference presentation logistics, and the post-acceptance artifact and ARI handoff.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-camera-ready --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.