neurips-topic-selection
Use when deciding whether a paper belongs at NeurIPS, choosing main-track versus another NeurIPS track, selecting contribution type, or rerouting to a better AI/ML venue.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill neurips-topic-selection --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 Topic Selection Use this skill before committing to NeurIPS. The target is not "any good AI paper"; it is a paper whose contribution will matter to the NeurIPS reviewer community and survive the current official track rules. ## Fit signals Strong NeurIPS candidates usually have one of these cores: - a general ML method, model, objective, optimization, inference, or learning principle; - a theory result that changes understanding of ML behavior or limits; - a high-quality empirical finding about models, data, evaluation, robustness, or scaling; - a use-inspired result with a real scientific, social, health, robotics, sustainability, or creative-AI problem and a clear ML contribution; - a dataset, benchmark, or evaluation contribution that belongs in the correct current NeurIPS track rather than being forced into main track; - a rigorous negative result that changes community understanding. ## Poor fit signals - Engineering integration without a research insight. - Domain application where the ML contribution is ordinary. - Benchmark improvement without mechanism, error analysis, or generality. - Safety, fairness, or societal claim with thin evidence. - Reproduction or repl
- Fit signals
- Poor fit signals
- Contribution-type choice
- Output format
What does the neurips-topic-selection skill do?
Use when deciding whether a paper belongs at NeurIPS, choosing main-track versus another NeurIPS track, selecting contribution type, or rerouting to a better AI/ML venue.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill neurips-topic-selection --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.