Claude Skills by DAAF-Contribution-Community

Complex survey analysis in R with survey (Lumley): svydesign, svymean/svytotal, svyglm, svyby domains, replicate weights (BRR, jackknife, bootstrap). Use when execution language is R. Python equivalent: svy. lm(weights=) is NOT survey analysis.

Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration, survey data I/O (SAS, SPSS, Stata formats). Polars-native. Use for any complex-sample survey: NHANES, CPS, ACS PUMS, BRFSS, DHS, ECLS-K, MEPS-HC. CRITICAL: statsmodels WLS and pyfixest clustered SEs are NOT substitutes for proper survey-weighted analysis — they ignore stratification and unequal probability sampling. Non-survey regression: statsmodels/...

Privacy-preserving workflow for building synthetic datasets and data source skills when raw data must never enter the DAAF container. The user profiles their sensitive data locally with a disclosure-controlled script; only a summary profile report crosses the boundary; DAAF builds a synthetic dataset and skill from the report alone. Use whenever data is sensitive, proprietary, PII-bearing, HIPAA/FERPA-governed, held in a secure enclave, or the user says the data cannot leave their environment...

R machine learning with tidymodels: recipes (preprocessing), parsnip (model specs), workflows (fit pipelines), tune (hyperparameters), rsample (resampling). Engines: ranger (RF), glmnet (lasso/ridge), xgboost, kknn. Model interpretation (permutation importance, PDP/ICE, SHAP via DALEX/iml/kernelshap) and fairness assessment (fairmodels). UMAP via uwot. Use when execution language is R. Python equivalent: scikit-learn. For econometric regression use fixest or r-stats.

R data manipulation with dplyr, tidyr, readr, purrr, stringr, forcats, lubridate. Verb pipelines, reshaping, joins, string/date ops, parquet via arrow. Includes data.table for performance. Use when execution language is R. Python equivalent: polars.

DAAF's protocol for retrieving web documents that an agent needs to READ (docs pages, articles, API references, issue threads). Retrieval runs through the framework CLI `bash /daaf/scripts/web_fetch.sh URL DEST_DIR`, which saves the raw response, a deterministic extract, and a provenance manifest to disk — the built-in WebFetch is blocked because it returns an AI paraphrase, not source text. Covers when to fetch at all (check local skills first), tool syntax and flags, the two-artifact + MANI...