aistats-writing-style
Use when revising an AISTATS paper for concise AI-statistics framing, theorem-and-experiment clarity, 8-page two-column compression, double-blind wording, reproducibility clarity, statistically careful claims, and assumption-labeling discipline that survives statistician reviewers.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-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.
# AISTATS Writing Style Use this when revising the main paper. AISTATS papers need compact statements of why a statistical or ML contribution matters and enough detail for technical validation. ## Revision rules - Put the AI/statistics contribution in the first page: problem, gap, method or theorem, evidence, and why existing methods are insufficient. - Make assumptions explicit. AISTATS reviewers are sensitive to hidden distributional, asymptotic, optimization, or data-generating assumptions. - Pair every major claim with either proof structure, simulation design, empirical table, or reproducibility detail. - Use the 8-page body for core logic; move long derivations, extra simulations, and extended ablations to the appendix without making the main paper unintelligible. - Avoid overclaiming empirical wins when differences are small or variance is unreported. - Maintain double-blind style in self-citations, prior code references, acknowledgements, funding, and artifact descriptions. ## Theorem-presentation discipline - Number assumptions and cite them by label inside every theorem statement; AISTATS readers audit assumption flows the way software reviewers audit imports. - Give each
- Revision rules
- Theorem-presentation discipline
- Sentence-level rewrites
- Vignette: compressing into eight two-column pages
- Output format
What does the aistats-writing-style skill do?
Use when revising an AISTATS paper for concise AI-statistics framing, theorem-and-experiment clarity, 8-page two-column compression, double-blind wording, reproducibility clarity, statistically careful claims, and assumption-labeling discipline that survives statistician reviewers.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-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.