Skills for OpenCode

Single-Cell RNA-seq QC

anthropics

Automate quality control for single-cell RNA-seq data.

scvi-tools Deep Learning

anthropics

Advanced tools for single-cell genomic analysis.

Instrument Data to Allotrope Converter

anthropics

Standardize lab data for seamless integration.

SQL Server Table Reconciliation

github

Efficiently compare SQL Server tables across instances.

Data Cleaning and Variable Screening

github

Streamline credit risk data preprocessing for modeling.

Arize Experiment

github

Evaluate and compare model performance with ease.

Arize Dataset

github

Manage and query Arize datasets efficiently.

Spreadsheet Management

anthropics

Efficiently create, edit, and analyze spreadsheet files.

Session Report

anthropics

Generate detailed HTML reports of Claude Code sessions.

Zarr Python

k-dense-ai

Efficiently store and manage large N-dimensional arrays.

Vaex

k-dense-ai

Efficiently process and analyze massive datasets with ease.

U.S. Treasury Fiscal Data API

k-dense-ai

Access federal financial data without an API key.

TimesFM Forecasting

k-dense-ai

Zero-shot time series forecasting with Google’s TimesFM.

Statsmodels

k-dense-ai

Comprehensive statistical modeling for Python.

Statistical Analysis

k-dense-ai

Guided statistical analysis for research data.

SHAP

k-dense-ai

Audit and explain machine learning predictions with SHAP.

Seaborn Statistical Visualization

k-dense-ai

Create attractive statistical graphics with minimal code.

scvi-tools

k-dense-ai

Advanced tools for single-cell omics analysis.

Scikit-Survival

k-dense-ai

Model and evaluate survival data with precision.

Scikit-learn

k-dense-ai

Comprehensive machine learning toolkit for Python.

Scientific Visualization

k-dense-ai

Create publication-ready scientific figures with integrity.

Scanpy

k-dense-ai

Comprehensive toolkit for single-cell RNA-seq analysis.

PyTDC

k-dense-ai

Access and evaluate therapeutic datasets with PyTDC.

PyMC Bayesian Modeling

k-dense-ai

Efficient Bayesian modeling and inference with PyMC.