Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Accesses the NIH Metabolomics Workbench API to retrieve experimental study data, metabolite structures, and standardized biochemical nomenclature.
Automates the cleaning, transformation, and validation of raw data into production-ready datasets for machine learning models.
Accesses the NIH Metabolomics Workbench to query metabolite structures, experimental studies, and mass spectrometry data.
Solves complex single and multi-objective optimization problems using state-of-the-art evolutionary algorithms and decision-making tools.
Implements high-performance persistent memory and learning patterns for stateful AI agents using AgentDB.
Automates the partitioning of data into training, validation, and testing sets for machine learning workflows.
Applies medicinal chemistry rules, structural alerts, and drug-likeness filters to prioritize compound libraries for drug discovery.
Performs exact symbolic mathematical computations including algebra, calculus, and physics modeling directly in Python.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees with seamless NCBI taxonomy integration.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, trait data, and genomic summary statistics.
Conducts systematic, comprehensive literature reviews across multiple scientific databases with verified citations and professional formatting.
Connects Claude to the ZINC22 database to perform chemical compound searches, virtual screening, and drug discovery workflows.
Manages the graceful termination of LlamaFarm backend services and background RAG workers.
Optimizes machine learning model performance through automated grid search, random search, and Bayesian optimization.
Processes and visualizes massive tabular datasets exceeding RAM limits using lazy, out-of-core DataFrames.
Migrates codebases and prompts from Claude Sonnet 4.0, 4.5, or Opus 4.1 to the Opus 4.5 model across multiple platforms.
Generates, edits, and analyzes complex Excel workbooks using dynamic formulas, professional financial formatting, and automated data validation.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Integrates Claude with the Benchling R&D platform to automate life sciences data management, laboratory inventory, and electronic notebook entries.
Provides a comprehensive suite of specialized algorithms for time series machine learning including classification, forecasting, and anomaly detection.
Automates the partitioning of datasets into training, validation, and testing sets for machine learning workflows.
Audits Nixtla library implementation to suggest cost-effective model routing and forecasting performance optimizations.
Creates, analyzes, and visualizes complex network structures and graph algorithms using the NetworkX library in Python.
Accesses and queries the ClinicalTrials.gov API v2 to retrieve comprehensive data on global clinical studies.
Connects Claude to the Benchling life sciences platform to automate R&D data management, registry updates, and laboratory workflows.
Builds, deploys, and manages serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
Processes and visualizes high-throughput sequencing data for genomics research and quality control.
Accesses and manages the COSMIC somatic mutation database for cancer research and precision oncology workflows.
Implements high-performance semantic vector search and document retrieval using AgentDB's ultra-fast HNSW indexing and quantization.
Queries NCBI ClinVar to retrieve genetic variant clinical significance, interpret pathogenicity, and annotate VCF files for genomic medicine.
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