pnas-statistics
From the author
Use to enforce PNAS's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control, randomization/blinding, sample-size justification, pre-registration where relevant, and reproducible code.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pnas-statistics -a claude-code
Installs to .claude/skills/pnas-statistics/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 88
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- nature-statisticsYuan1z0825/nature-skillsAudit or improve manuscript statistical reporting, including experimental units, replication, uncertainty, tests, and figure statistics. Use for 统计审查、统计方法小节、图注统计 and reviewer concerns; compute new analyses only when requested with data.Testing★ 50.1K
- nejm-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse to enforce NEJM's clinical statistical reporting — confidence intervals over bare P values, the pre-specified intention-to-treat primary analysis, multiplicity control for secondary endpoints, pre-specified subgroups with interaction tests, missing-data handling, and absolute risk with NNT alongside relative measures.Testing★ 1.3K
- experimentationcbrock84/headcountDesigns, runs, and reads A/B tests and growth experiments — hypothesis, sample size, duration, and honest interpretation. Use this to plan a test, judge whether a result is real, build an experimentation program, decide what to test next, or diagnose why tests keep producing inconclusive or non-replicating results.Testing★ 2.1K
- pnas-fitbrycewang-stanford/Awesome-Journal-SkillsUse before any writing begins to stress-test whether a result clears PNAS's bar — high quality and broad significance to a general scientific readership — and to make the realistic call between PNAS, Science/Nature, and a specialist field journal.Testing★ 1.3K
- statistical-analysisanthropics/knowledge-work-pluginsApply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.OfficialTesting★ 31.3K
- pnas-writingbrycewang-stanford/Awesome-Journal-SkillsUse to structure a PNAS main text and hold its length — Title, Significance Statement, Abstract, Introduction, Results, Discussion, in-text Materials and Methods, references — and to choose the required Classification (Biological/Physical/Social Sciences + minor subject) and keywords at submission.Writing★ 1.3K
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in