Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Processes and analyzes complex physiological signals including ECG, EEG, and EDA for psychophysiology research and medical data science.
Optimizes model selection, API cost estimation, and batch processing strategies for AI-assisted qualitative document analysis.
Deploys and manages production-grade machine learning models on Databricks with support for A/B testing and auto-scaling.
Provides foundational mathematical tools and statistical methods for data analysis, hypothesis testing, and machine learning architecture.
Builds, optimizes, and deploys production-grade neural networks using PyTorch, TensorFlow, and modern transformer architectures.
Develops production-grade Python scripts for scalable ETL pipelines and high-performance data processing systems.
Architects and optimizes high-performance distributed data pipelines for petabyte-scale workloads using Apache Spark and modern table formats.
Automates production-grade ETL pipelines and data orchestration using industry-standard tools like Airflow, dbt, and Prefect.
Enables Claude to perform complex scientific research by providing access to over 600 bioinformatics, genomics, and cheminformatics tools.
Manages the foundational state, logging, and workflow enforcement for AI-assisted qualitative research projects.
Enables local semantic search and document indexing for PDF, DOCX, and XLSX files directly within Claude Code.
Optimizes document retrieval and semantic search workflows using RAG best practices, vector databases, and advanced chunking strategies.
Provides standardized C++20 implementations for high-performance numerical computing, matrix operations, and parallel I/O.
Optimizes AI agent memory usage and manages conversation context through advanced pruning and archiving strategies.
Validates the biological quality of ATAC-seq data by calculating metrics like TSS enrichment, fragment size distribution, and peak overlap.
Streamlines the development of data processing pipelines, ABAP integrations, and machine learning scenarios within SAP Data Intelligence Cloud.
Streamlines in-database machine learning workflows within SAP HANA using the Python hana-ml library.
Performs Gene Ontology and KEGG pathway enrichment analysis from genomic regions or gene lists with automated R-based visualizations.
Streamlines the deployment and management of enterprise AI/ML workloads and LLM orchestration on SAP BTP.
Manages complex n-ary skill interactions and topos unification using dendroidal Segal spaces and lazy ACSet materialization.
Generates structured plans to decompose complex AI include chains into modular, reusable components.
Analyzes protein-mediated chromatin interactions to identify and visualize regulatory communities from ChIA-PET datasets.
Orchestrates cost-effective qualitative research workflows using Kimi K2.5 models and advanced context caching strategies.
Processes DICOM medical imaging files for metadata extraction, pixel data manipulation, and secure patient data anonymization.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering research.
Identifies enriched transcription factor binding motifs in genomic regions or gene lists using the HOMER bioinformatics suite.
Deploys and manages cloud-based AI agent swarms using event-driven workflow automation and intelligent coordination.
Implements high-performance adaptive learning and experience replay for AI agents using AgentDB's ultra-fast vector storage.
Implements high-performance persistent memory and learning patterns for AI agents using AgentDB.
Trains and deploys complex neural networks across distributed E2B sandbox environments directly within Claude.
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