eurosys-related-work
Use when positioning a EuroSys submission in the systems literature — mapping the SOSP/OSDI/NSDI/ATC/ASPLOS neighbor space plus EuroSys's own two-decade proceedings line, handling concurrent arXiv and workshop versions under double-blind rules, and declaring overlap with earlier submissions of the same work.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eurosys-related-work --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.
# EuroSys Related Work Use this to audit novelty positioning before the abstract gate. EuroSys sits inside a tightly interconnected systems publication circuit; its reviewers usually know the neighboring venues' recent programs from memory, and the free reference pages (EuroSys 2027 CFP, rendered 2026-07-08) remove every excuse for thin citation. ## Search the circuit, not just the venue | Lane |
What does the eurosys-related-work skill do?
Use when positioning a EuroSys submission in the systems literature — mapping the SOSP/OSDI/NSDI/ATC/ASPLOS neighbor space plus EuroSys's own two-decade proceedings line, handling concurrent arXiv and workshop versions under double-blind rules, and declaring overlap with earlier submissions of the same work.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eurosys-related-work --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.