sensys-camera-ready
Use when preparing an accepted SenSys camera-ready — de-anonymizing the double-column ACM final, completing ACM rights and metadata, restoring acknowledgments, landing the awarded ACM artifact badges onto the paper, releasing traces and firmware within their constraints, and planning the in-person talk and demo for the merged audience.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sensys-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.
# SenSys Camera-Ready Acceptance flips the paper from anonymous-under-review to a permanent ACM DL record. The camera-ready is a checklist of irreversible steps: de-anonymize completely, get the ACM rights and metadata exactly right, land any artifact badges onto the printed paper, and prepare to present to a room that now spans the merged SenSys/IPSN/IoTDI communities. A metadata or rights slip here is corrected only by a painful post-publication erratum. ## De-anonymize completely Everything double-blind suppressed now goes back — and nothing may be missed: ```text [ ] Author names, affiliations, and emails restored on the paper. [ ] Acknowledgments and funding/grant numbers added back. [ ] Self-citations returned to first person where natural. [ ] Artifact links de-blinded to their permanent public homes (with DOIs). [ ] PDF metadata now correctly names authors (was scrubbed for review). ``` Run the inverse of the submission blindness sweep: the risk now is an *un*-restored acknowledgment or a still-anonymized repo link, not a leak. ## ACM rights and metadata The ACM e-rights process gates the final. Complete it precisely: | Item | Action | Failure cost | |---|---|---| | e-right
- De-anonymize completely
- ACM rights and metadata
- Coordinate the artifact badges onto the paper
- Plan the talk and demo
- Final camera-ready sequence
- Output format
What does the sensys-camera-ready skill do?
Use when preparing an accepted SenSys camera-ready — de-anonymizing the double-column ACM final, completing ACM rights and metadata, restoring acknowledgments, landing the awarded ACM artifact badges onto the paper, releasing traces and firmware within their constraints, and planning the in-person talk and demo for the merged audience.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sensys-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.