
from alterlab-academic-skills25
Bayesian modeling workflow using PyMC (v5+): build hierarchical models, run MCMC (NUTS) or variational inference, diagnose sampling, and compare models with LOO
Provides a complete Bayesian modeling workflow using PyMC (v5+). Covers data prep, model building (linear, logistic, hierarchical), prior predictive checks, MCMC (NUTS) inference, variational inference, diagnostics, posterior predictive checks, and model comparison (LOO/WAIC). Includes templates and diagnostic scripts to produce reproducible analyses.
scripts/model_diagnostics.py, scripts/model_comparison.py and other helper scripts (has_scripts=true)references/ with distribution guides, sampling/inference notes, and workflow cookbooks (has_references=true)assets/ (linear_regression_template.py, hierarchical_model_template.py), and diagnostic/reporting utilitiesUseful for coding assistants and data-science-focused agents that can run Python and inspect repo assets (Codex, Claude Code, Cursor).
AlterLab PyMC is a Bayesian modeling skill covering hierarchical models, MCMC sampling, variational inference, and model comparison with LOO/WAIC. The SKILL.md is exceptionally thorough with an 8-step workflow, best practices, and gotchas for PyMC 5.x. Both bundled scripts (model_diagnostics.py, model_comparison.py) are well-written with docstrings and error handling but failed to run due to missing arviz dependency. No security concerns — pure data science utilities with no network calls or destructive operations.
arvizpymcWell-crafted academic skill. Clean code, good documentation, proper separation of concerns. Only issue is runtime dependency on arviz/pymc which is expected for a Bayesian modeling skill.
Mixed Methods Research Design
Comprehensive guide for designing and integrating qualitative and quantitative research approaches using established academic frameworks.
AlterLab Deep Research
A 13-agent, PRISMA-capable research pipeline that runs scoping, systematic literature search, verification, synthesis, meta-analysis, and APA‑style reporting fo
ClinVar Database (AlterLab)
Search and interpret NCBI ClinVar variant data, access via E-utilities or FTP, annotate VCFs, and incorporate review-status and evidence best practices for geno
bioRxiv Database Search
Search and retrieve life-sciences preprints from bioRxiv via API.
Academic Statistical Analysis
Guided hypothesis testing, assumption checking, and APA-formatted reporting.
GeoPandas Geospatial Analysis
Advanced spatial analysis for vector data including coordinate reprojection, spatial joins, and choropleth mapping using the GeoPandas library.
DepMap Cancer Dependency Analysis
Query the Cancer Dependency Map (DepMap) for gene dependency scores, drug sensitivity, and cancer-specific genetic vulnerabilities.