rss-supplementary
Use when assembling RSS (Robotics: Science and Systems) supplementary material under the separate one-week-later deadline — deciding what leaves the self-contained main PDF, cutting robot video that functions as evidence rather than promotion, anonymizing footage and archives, and packaging appendices and trial logs.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rss-supplementary --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 Supplementary Assemble the supplement as the paper's evidence annex. RSS 2026 gave it its own deadline (February 6, one week after the paper, AoE — verified 2026-07-08) and its own constraint: the CFP requires the main PDF to be self-contained, so the supplement may deepen belief but must never be *required* for it. ## The division of labor | Content | Main PDF | Supplement | |---|---|---| |
What does the rss-supplementary skill do?
Use when assembling RSS (Robotics: Science and Systems) supplementary material under the separate one-week-later deadline — deciding what leaves the self-contained main PDF, cutting robot video that functions as evidence rather than promotion, anonymizing footage and archives, and packaging appendices and trial logs.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rss-supplementary --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.