Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Orchestrates comprehensive AI model evaluation benchmarks to measure efficiency, code quality, and workflow adherence.
Automates the creation, editing, and analysis of professional-grade spreadsheets with precise formula management and institutional formatting.
Analyzes urban development projects and land use through the lens of professional planning frameworks and sustainability principles.
Manages large-scale N-dimensional arrays with chunking and compression for high-performance scientific computing and cloud storage.
Analyzes global events, policy changes, and power dynamics using established political science frameworks and international relations theories.
Applies machine learning to chemistry, biology, and materials science to predict molecular properties and design new compounds.
Provides expert ecological analysis and sustainability assessments using systems thinking and conservation biology principles.
Analyzes disease patterns, health events, and transmission dynamics using established epidemiological frameworks and mathematical modeling.
Analyzes complex chemical processes and molecular structures using rigorous scientific principles and analytical techniques.
Automates complex spreadsheet creation, editing, and financial modeling with dynamic formulas and industry-standard formatting.
Applies rigorous historical methodologies and temporal frameworks to analyze events, identify long-term patterns, and contextualize contemporary trends.
Analyzes urban development projects and spatial organization using professional planning frameworks like zoning, land use, and transit-oriented development.
Analyzes complex events and policies through the lens of ecological science, sustainability frameworks, and conservation biology to evaluate environmental impact.
Analyzes global events and policy changes using established political science frameworks and theoretical models.
Analyzes urban development and spatial organization using professional planning frameworks, zoning regulations, and sustainability metrics.
Builds production-ready AI agents using Anthropic's official framework for tool orchestration and subagent workflows.
Queries ChEMBL's vast database of bioactive molecules and drug discovery data for medicinal chemistry research.
Automates comprehensive AI model benchmarking and performance comparison using the Benchmark Suite V3 framework.
Simplifies the development and training of Graph Neural Networks (GNNs) for deep learning on irregular and relational data structures.
Queries the NHGRI-EBI GWAS Catalog for genetic variants, SNP-trait associations, and summary statistics to support genetic epidemiology research.
Parses and manipulates Flow Cytometry Standard (FCS) files to extract event data as NumPy arrays and manage metadata.
Analyzes events and policies using rigorous economic frameworks and multiple schools of thought to uncover market dynamics and incentive structures.
Processes mass spectrometry data for proteomics and metabolomics analysis using the pyOpenMS library.
Analyzes systems and technological feasibility using fundamental laws of physics and quantitative modeling.
Analyzes disease patterns and public health events using surveillance systems, outbreak investigation methods, and mathematical modeling frameworks.
Simplifies genomic data processing by providing a Pythonic interface for reading, writing, and manipulating SAM, BAM, CRAM, and VCF files.
Accesses the Human Metabolome Database to retrieve detailed chemical, clinical, and biological data for over 220,000 metabolites.
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival Python library.
Streamlines genomics data analysis and pipeline development on the DNAnexus cloud platform using the dxpy SDK and CLI tools.
Analyzes and visualizes high-throughput sequencing data for genomics research and quality control.
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