Data Science & ML Agent Skills

Modal Cloud Computing

Deploys and scales Python code in serverless containers with high-performance GPU support and automatic autoscaling.

Transfer Learning Adapter

Automates the fine-tuning and adaptation of pre-trained machine learning models for specific datasets and tasks.

Research Superpowers Getting Started

Orchestrates systematic literature searches and reviews by finding, screening, and extracting data from scientific papers across PubMed and Semantic Scholar.

Hypogenic: Scientific Hypothesis Engineering

Automates the generation and testing of scientific hypotheses by combining observational data patterns with academic literature insights.

HMDB Scientific Database

Accesses the Human Metabolome Database (HMDB) to retrieve metabolite data, chemical properties, and biomarker information for scientific research.

Time Series Forecaster

Forecasts future values and identifies temporal patterns by analyzing historical time-series data using advanced statistical models.

AI Ethics & Fairness Validator

Validates ethical implications, fairness metrics, and bias detection within AI/ML models and datasets to ensure responsible development.

NLP Text Analyzer

Analyzes text data to extract sentiments, keywords, and topics using advanced natural language processing techniques.

LabArchives ELN Integration

Automates electronic lab notebook management through the LabArchives REST API for research documentation, data backups, and institutional reporting.

Gemini CLI Integration

Facilitates seamless interaction between Claude and Google's Gemini CLI to enable multi-model planning and execution.

Owlex AI Council

Orchestrates multi-agent deliberations and structured critiques across multiple LLMs to provide optimized architectural and coding recommendations.

Roundtable AI Delegation

Orchestrates specialized AI sub-agents to solve complex engineering problems through parallel task delegation.

Airflow DAG Patterns

Builds production-ready Apache Airflow pipelines using industry-standard patterns for orchestration, error handling, and automated testing.

Vector Index Tuning

Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory-to-recall trade-offs.

ML Dataset Splitter

Automates the partitioning of data into training, validation, and testing sets to streamline machine learning model development.

Spark Optimization

Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle performance tuning.

Scientific Hypothesis Generation

Generates rigorous, evidence-based hypotheses and experimental designs for scientific inquiry across multiple domains.

Open Targets Database Integration

Queries the Open Targets Platform to identify therapeutic targets, analyze disease associations, and retrieve drug tractability data.

Computer Vision Processor

Analyzes and processes images using advanced computer vision techniques like object detection, classification, and segmentation.

Matchms Mass Spectrometry Analysis

Processes, filters, and analyzes mass spectrometry data using Python-based spectral similarity and metadata harmonization.

Similarity Search Patterns

Implement production-grade similarity search using vector databases and optimized retrieval patterns for AI applications.

Advanced Embedding Strategies

Optimizes embedding model selection and chunking strategies to enhance semantic search and RAG application performance.

Time Series Forecaster

Analyzes historical time-dependent data to predict future values and identify underlying trends or seasonal patterns.

Advanced Excel & Spreadsheet Automation

Automates professional spreadsheet creation, data analysis, and financial modeling with rigorous formula validation.

Excel & Spreadsheet Mastery

Automates advanced spreadsheet creation, data analysis, and professional financial modeling with rigorous formula validation.

Feature Engineering Toolkit

Enhances machine learning models by automating feature creation, selection, and transformation to optimize predictive performance.

Hyperparameter Tuner

Optimizes machine learning model configurations using advanced search strategies to maximize predictive performance and accuracy.

Zarr Python Scientific Data

Optimizes large-scale N-dimensional array storage and processing using chunked, compressed data formats for cloud-native scientific workflows.

Statistical Analysis Toolkit

Performs comprehensive statistical analysis including hypothesis testing, regression modeling, and Bayesian inference with APA-compliant reporting.

Cirq Quantum Computing

Builds, simulates, and optimizes quantum circuits using Google's Cirq framework for quantum algorithms and hardware execution.