From annals-aag-skills
Sets analysis and reporting norms for Annals of the American Association of Geographers manuscripts covering spatial statistics, remote-sensing accuracy, and qualitative coding.
How this skill is triggered — by the user, by Claude, or both
Slash command
/annals-aag-skills:aaag-data-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
The Annals expects analyses that are **spatially honest** and reported with uncertainty, whatever the
The Annals expects analyses that are spatially honest and reported with uncertainty, whatever the area. The standard is that a competent reader in the area could follow the logic from data to claim and see that the geography of the data was respected, not flattened.
aaag-transparency-and-data).【Mode】spatial-quant / remote-sensing / qualitative / mixed
【Headline result】effect/accuracy/theme + its uncertainty
【Spatial honesty】autocorrelation / MAUP / spatial-CV / spatial error map handled? [Y/N]
【Robustness】checks run and what held
【Reproducibility】master script + seeds + versions? [Y/N]
【Next】aaag-tables-figures
../../resources/external_tools.md — spatial-stats, RS, and qualitative-analysis packages../../resources/README.md — shared reporting-standards background (inference, robustness)npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin annals-aag-skillsDefends the research design of an Annals of the American Association of Geographers manuscript across spatial/quantitative, remote-sensing, qualitative, and mixed-methods traditions.
Guides rigorous analysis and reporting for Global Environmental Change manuscripts: uncertainty, robustness, heterogeneity, and reproducibility across quantitative, qualitative, and mixed-methods designs.
Guides analysis and reporting for ASR manuscripts to meet masked review standards across quantitative, demographic, comparative-historical, and computational sociology.