From pnas-skills
Enforces PNAS statistics and reproducibility reporting: effect sizes, uncertainty, n, test justification, multiple-comparison correction, randomization/blinding, sample-size rationale, and reproducible code.
How this skill is triggered — by the user, by Claude, or both
Slash command
/pnas-skills:pnas-statisticsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- Results report P values but not effect sizes or n.
pnas-data).Each claim needs: effect size + uncertainty + n + test + what n means.
PNAS spans Biological, Physical, and Social Sciences, so match the rigor conventions of your division:
pnas-data), with a README and environment/versions.【Per-claim backbone】 effect+CI / n / unit-of-n / test / assumptions → list gaps
【Replication】 biological vs technical clear? yes/no
【Sample-size rationale】 power/justification present? yes/no
【Randomization & blinding】 reported / N/A-justified / missing
【Multiplicity】 corrected? method
【Division-specific rigor】 (Bio / Physical / Social) conventions met? yes/no
【Reproducibility】 code + versions + seeds present? yes/no
【Next】 pnas-data
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin pnas-skillsEnforces Science journal's statistics and reproducibility reporting: effect sizes with uncertainty, n and replication, test justification, multiple-comparison correction, randomization/blinding, and pre-registration.
Enforces JAMA statistical review standards: effect sizes with 95% CIs, multiplicity control, pre-specified outcomes, ITT analysis, and proper reporting conventions.
Guides statistical test selection, definition of independent replicates, and error bar reporting for biological manuscripts targeting Cancer Cell (Cell Press) standards.