recsys-writing-style
Use when revising an ACM RecSys paper for a recommendation-first first page, honest offline-versus-online framing, equal-budget baseline claims, leakage-aware evaluation wording, ACM two-column 8-page compression, double-blind phrasing, and claims scoped to what the ranking evidence actually supports rather than to leaderboard language.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-writing-style --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.
# RecSys Writing Style Use this when revising the main paper. RecSys papers need a compact statement of why a **recommendation** result matters and enough evaluation detail to survive a reproducibility-minded reviewer. ## Revision rules - Put the recommendation contribution on the first page: problem, gap, method, offline evidence, and the offline-to-deployment bridge. - Make the evaluation protoc
What does the recsys-writing-style skill do?
Use when revising an ACM RecSys paper for a recommendation-first first page, honest offline-versus-online framing, equal-budget baseline claims, leakage-aware evaluation wording, ACM two-column 8-page compression, double-blind phrasing, and claims scoped to what the ranking evidence actually supports rather than to leaderboard language.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-writing-style --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.