neurips-related-work
Use when positioning a NeurIPS submission against current-cycle ML literature, contemporaneous work, preprints, neighboring conferences, and the exact technical delta from prior methods.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill neurips-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.
# NeurIPS Related Work Use this skill when novelty or positioning is the main risk. NeurIPS reviewers will often know recent papers from neighboring AI venues and preprint streams; stale comparisons are a serious weakness. ## What to cover - Direct technical ancestors: methods with the same objective, architecture, proof technique, benchmark, dataset, or deployment problem. - Neighboring venues: ICML, ICLR, AAAI, IJCAI, AISTATS, UAI, COLT, MLSys, KDD, CVPR, ACL, EMNLP, SIGIR, ICRA, CHI, and other subfield venues as relevant. - Contemporaneous work: papers that appeared during the current review window. The 2026 handbook treats work appearing online after March 1, 2026 as contemporaneous for review purposes, but authors still need to cite and discuss it when feasible. - Preprints: public preprints are not automatically disqualifying, but they must not be used to advertise a submission aggressively under review. ## Delta-writing template For each close paper, write: ```text <Prior work> solves <problem> by <mechanism>. It does not address <gap>. Our paper differs by <technical delta>, which matters because <evidence or theory>. ``` ## Failure modes - Listing citations without explain
- What to cover
- Delta-writing template
- Failure modes
- Output format
What does the neurips-related-work skill do?
Use when positioning a NeurIPS submission against current-cycle ML literature, contemporaneous work, preprints, neighboring conferences, and the exact technical delta from prior methods.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill neurips-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 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.