Data Science & ML Agent Skills

DNA Assembly

16

Designs optimized primers and validates multi-fragment DNA assembly workflows for Golden Gate and Type IIS cloning techniques.

Video Processing

16

Guides frame-level analysis and event detection in videos using OpenCV to ensure accurate motion tracking and algorithm validation.

PathML

16

Analyzes whole-slide pathology images and multiparametric imaging data using computational tools for tissue segmentation, spatial graphs, and machine learning.

Adaptive Rejection Sampler

16

Implements efficient adaptive rejection sampling algorithms for generating random samples from log-concave probability distributions.

Bayesian Network Fitting and Modification

16

Streamlines Bayesian Network workflows by guiding structure learning, parameter estimation, causal interventions, and network sampling using industry-standard libraries.

Count Dataset Tokens

16

Calculates token counts in large-scale datasets using specific tokenizers and precise filtering criteria.

MCMC Sampling with Stan

16

Implements Bayesian statistical models and runs MCMC sampling using Stan with comprehensive diagnostic validation.

Caffe Framework & CIFAR-10 Training

16

Guides the compilation of the legacy Caffe deep learning framework and the training of convolutional neural networks on the CIFAR-10 dataset.

BioServices Bioinformatics Toolkit

16

Provides programmatic access to over 40 bioinformatics web services for biological data retrieval, identifier mapping, and pathway analysis.

Multi-Source Data Merger

16

Merges heterogeneous data sources into unified datasets with automated field mapping and priority-based conflict resolution.

PyTorch Model CLI

16

Converts PyTorch neural networks into standalone C/C++ command-line tools by extracting weights and reimplementing inference without Python dependencies.

Caffe CIFAR-10 Build and Training

16

Guides the compilation of the Caffe deep learning framework from source and the execution of CIFAR-10 image classification training workflows.

PyTorch Lightning

16

Organizes and scales PyTorch deep learning workflows by automating training loops, hardware orchestration, and boilerplate code.

Small Matrix Eigenvalue Computation

16

Optimizes dominant eigenvalue calculations for small dense matrices by reducing Python wrapper overhead through direct LAPACK integration.

Distribution Search

16

Optimizes probability distributions to satisfy complex statistical constraints like KL divergence, entropy, and moment conditions through systematic mathematical analysis and numerical search.

GWAS Catalog Explorer

16

Queries the NHGRI-EBI GWAS Catalog for genetic variants, SNP-trait associations, and summary statistics to support genetic epidemiology research.

Train FastText

16

Optimizes FastText text classification models by balancing hyperparameter tuning with strict file size and accuracy constraints.

MTEB Text Retrieval

16

Executes text embedding retrieval and semantic ranking tasks using sentence transformers and cosine similarity metrics.

Exploratory Data Analysis Toolkit

16

Automates comprehensive statistical analysis and visual profiling for diverse datasets to uncover hidden patterns, anomalies, and actionable insights.

Histolab Digital Pathology

16

Processes whole slide images (WSI) for digital pathology by automating tissue detection, tile extraction, and preprocessing for computational pipelines.

ToolUniverse

16

Integrates over 600 scientific tools and databases for bioinformatics, drug discovery, and computational research into AI-driven workflows.

MuJoCo MJCF Model Tuning

16

Optimizes MuJoCo MJCF model files for simulation performance while maintaining numerical accuracy and physical correctness.

Biomni

16

Executes autonomous multi-step biomedical research tasks including genomics analysis, drug discovery, and clinical interpretation.

Portfolio Optimization with C Extensions

16

Accelerates Python numerical computations by implementing performance-critical mathematical algorithms as high-speed C extensions.

DrugBank Database

16

Accesses and analyzes comprehensive pharmaceutical data from DrugBank to perform drug discovery research, interaction analysis, and target identification.

scvi-tools

16

Empowers single-cell omics analysis with deep generative models for dimensionality reduction, batch correction, and multimodal data integration.

Data Commons Client

16

Accesses global statistical data from the Data Commons knowledge graph to analyze demographics, economics, health, and environmental trends.

Scientific Resource Detection & Strategy

16

Identifies system hardware capabilities and provides data-driven recommendations for optimizing computationally intensive tasks like model training and large-scale data processing.

Modernize Scientific Stack

16

Migrates legacy Python 2 scientific computing code to Python 3 using modern libraries like pandas, numpy, and pathlib.

SHAP Model Interpretability

16

Explains machine learning model predictions and feature importance using Shapley values to provide transparent and actionable AI insights.