Automate Platerecognizer tasks via Rube MCP (Composio).
Polars DataFrame library for high-performance data manipulation.
Calculate polygenic risk scores from DTC genetic data using the PGS Catalog
Specialized skill for polymer materials analysis including molecular weight distribution, thermal transitions, crystallinity, and…
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
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
Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition,
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.
Comprehensive sensitivity analysis for optimization
NGS read QC, alignment, and BAM processing pipeline.