Data Science & ML Agent Skills for Zed

Statistical power analysis and sample size determination

Implement Hayes PROCESS mediation and moderation models transparently via lavaan and bruceR, with bootstrap CIs, index of moderated…

Discrete event simulation skill for process modeling, scenario testing, and optimization

Skill for propulsion system ground test data acquisition and analysis

Differential expression analysis for label-free quantitative (LFQ) intensity data with standard MaxQuant and

Dense, machine-readable API reference for PyFixest — high-dimensional fixed-effects OLS/WLS/IV and Poisson (feols, fepois, feglm)…

Performs placebo-in-time sensitivity analysis to validate causal claims.

PySCF quantum chemistry interface for classical electronic structure calculations

PySCF quantum chemistry skill for molecular calculations, coupled cluster, and multireference methods

IBM Qiskit integration skill for quantum circuit construction, transpilation, and execution on IBM Quantum hardware

Best practices for polars data processing with dataframely.

Run IV, DiD, and RDD analyses in R with proper diagnostics

Machine-readable journal format for reproducible data analysis operations

Differential expression analysis for bulk RNA-seq and pseudo-bulk count matrices with QC, PCA, and contrast testing.

Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization.

Local Scanpy pipeline for single-cell RNA-seq QC, optional doublet detection, clustering, marker discovery, optional

Comprehensive sensitivity analysis for optimization

Seurat single-cell analysis skill for clustering, annotation, and trajectory analysis

SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.

Simulation experimental design skill for efficient scenario analysis and optimization.

Comprehensive special functions evaluation and manipulation