ppopp-camera-ready
Use when preparing a PPoPP camera-ready, covering systematic de-anonymization, ACM rights/eRights and CCS concepts metadata, restoring the named hardware and acknowledgements, permanentizing the artifact DOI and any earned badges, and passing ACM production checks for the two-column acmart sigplan proceedings.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-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.
# PPoPP Camera-Ready Prepare the final version after acceptance (PPoPP 2026: final paper due 9 January 2026). The camera-ready converts an anonymized submission into an archival ACM proceedings paper in the **two-column `acmart` `sigplan`** format. It is **separate from the artifact-evaluation deadline**; do not let one slip because you were focused on the other. Work through de-anonymization, ACM metadata, and production checks methodically — a rushed camera-ready is where identity leaks and rights errors happen. ## De-anonymize systematically The submission hid identity in several places; restore them all, deliberately: ```text [Authors] real names, affiliations, ORCIDs, contact author [Machines] restore the named cluster/supercomputer/GPU facility you abstracted for review [Acknowledgements] funding, grant numbers, facility allocations, collaborators [Self-citation] switch "prior work [12]" back to "our prior work [12]" where accurate [System names] restore the real name of your runtime/library/tool [Artifact links] replace the anonymized artifact link with the public DOI archive ``` Do a reverse pass of the double-blind sweep you ran at submission: every place you *removed* ide
- De-anonymize systematically
- ACM rights and metadata
- Artifact and badges
- Production checks for the two-column proceedings
- Common camera-ready failures
- Calibration
- Output format
What does the ppopp-camera-ready skill do?
Use when preparing a PPoPP camera-ready, covering systematic de-anonymization, ACM rights/eRights and CCS concepts metadata, restoring the named hardware and acknowledgements, permanentizing the artifact DOI and any earned badges, and passing ACM production checks for the two-column acmart sigplan proceedings.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-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 984 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.