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.
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-writing-styleInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of aistats-writing-style
aistats-writing-style scores 83/100 on our quality scale, 944th of 1,186 Content & Media skills we index.
Its SKILL.md is 3.4 KB long, split into 6 sections with 1 code example: a solid amount of guidance for an agent.
With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 21 days ago, so aistats-writing-style is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-06. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
aistats-writing-style compared with similar skills
All 4 of these similar skills score higher than aistats-writing-style; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aistats-writing-style (this skill)by brycewang-stanford | 83 | 1.2k | 21d ago | SKILL.md |
| siyuanby siyuan-note | 100 | 46.6k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 13d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 13d ago | SKILL.md |
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Frequently asked questions
- How do I install aistats-writing-style?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-writing-style. The install tabs above show the steps for each supported agent. - Which AI agents does aistats-writing-style work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is aistats-writing-style safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is aistats-writing-style still maintained?
- The repository was last updated 21 days ago, so aistats-writing-style is actively maintained.
Skill content
View source on GitHubname: aistats-writing-style description: 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.
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 major theorem a proof sketch in the body; the appendix proof supports the sketch but never replaces it.
- Keep problem-dependent constants visible or explicitly deferred; silently absorbing dimension or condition numbers into O-notation is a standing statistician complaint.
- Define notation once in one location — two-column pages punish redundant redefinition.
- Phrase remarks after theorems as interpretation, not as extra unproved claims; AISTATS reviewers treat every declarative sentence near a theorem as something they may verify.
- When a result is conjectured or only empirically supported, label it so; mixing proved and observed statements in one paragraph is a credibility leak at this venue.
Sentence-level rewrites
| Draft pattern | AISTATS-safe rewrite | |---|---| | "Our method significantly outperforms..." | "reduces mean error by X (SE Y) over Z seeded runs" | | "Under mild conditions..." | "Under Assumptions 1-3 (boundedness, ...)" | | "It is easy to see that..." | "By Lemma 2 and the triangle inequality..." | | "Achieves state-of-the-art..." | Claim scoped to the regimes actually tested |
Vignette: compressing into eight two-column pages
A draft with three theorems, six figures, and a sprawling related-work section: keep all theorem statements, one sketch each, and the two decision-critical figures (the rate plot and the coverage plot); compress related work into contribution contrasts; move secondary lemmas and four figures to the appendix with explicit forward references. The test of a good cut: a reviewer should reconstruct the whole argument without ever opening the supplement.
Output format
[Writing diagnosis] clear / under-justified / overclaimed / overloaded
[First-page fix] <new framing>
[Claim discipline] <claim -> proof/experiment/limitation>
[Compression cuts] <move/delete/merge>
[Anonymity edits] <phrases to rewrite>
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
