rss-camera-ready
Use when converting an accepted RSS (Robotics: Science and Systems) paper into its public form — de-anonymization and platform-attribution restoration, adding the external links the CFP reserves for this stage, publication in the free roboticsproceedings.org archive with a 10.15607 DOI, and single-track presentation preparation.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rss-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.
# RSS Camera Ready Turn the anonymous accepted version into the archival one. The 2026 camera-ready deadline was never publicly surfaced (待核实 — take it from the acceptance email); everything else below is verified venue mechanics as of 2026-07-08. ## What changes at this stage, specifically at RSS | Submission state | Camera-ready state | |---|---| | Anonymous authors | Full author block, affiliat
What does the rss-camera-ready skill do?
Use when converting an accepted RSS (Robotics: Science and Systems) paper into its public form — de-anonymization and platform-attribution restoration, adding the external links the CFP reserves for this stage, publication in the free roboticsproceedings.org archive with a 10.15607 DOI, and single-track presentation preparation.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rss-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.