发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Applies machine learning to chemistry, biology, and materials science to predict molecular properties and design new compounds.
Orchestrates comprehensive AI model evaluation benchmarks to measure efficiency, code quality, and workflow adherence.
Evaluates moral dimensions and value conflicts through rigorous ethical frameworks to guide responsible decision-making.
Analyzes events and cultural systems through established anthropological frameworks and ethnographic methods.
Evaluates technical feasibility and system dynamics using fundamental physical laws, thermodynamics, and quantitative modeling.
Analyzes disease patterns and public health events using surveillance systems, outbreak investigation methods, and mathematical modeling frameworks.
Orchestrates end-to-end model evaluation benchmarks to measure efficiency, code quality, and workflow adherence across different AI models.
Analyzes urban development projects and land use through the lens of professional planning frameworks and sustainability principles.
Automates the creation, editing, and analysis of professional-grade spreadsheets with precise formula management and institutional formatting.
Analyzes urban development projects and spatial organization using professional planning frameworks like zoning, land use, and transit-oriented development.
Analyzes disease patterns and health events using specialized epidemiological frameworks and surveillance methods to inform public health interventions.
Analyzes complex chemical processes and molecular structures using rigorous scientific principles and analytical techniques.
Applies rigorous historical methodologies and temporal frameworks to analyze events, identify long-term patterns, and contextualize contemporary trends.
Analyzes disease patterns, health events, and transmission dynamics using established epidemiological frameworks and mathematical modeling.
Builds production-ready AI agents using Anthropic's official framework for tool orchestration and subagent workflows.
Automates comprehensive AI model benchmarking and performance comparison using the Benchmark Suite V3 framework.
Analyzes urban development and spatial organization using professional planning frameworks, zoning regulations, and sustainability metrics.
Analyzes events and policies using rigorous economic frameworks and multiple schools of thought to uncover market dynamics and incentive structures.
Analyzes global events, policy changes, and power dynamics using established political science frameworks and international relations theories.
Simplifies the development and training of Graph Neural Networks (GNNs) for deep learning on irregular and relational data structures.
Queries ChEMBL's vast database of bioactive molecules and drug discovery data for medicinal chemistry research.
Analyzes systems and technological feasibility using fundamental laws of physics and quantitative modeling.
Provides expert ecological analysis and sustainability assessments using systems thinking and conservation biology principles.
Analyzes global events and policy changes using established political science frameworks and theoretical models.
Simplifies genomic data processing by providing a Pythonic interface for reading, writing, and manipulating SAM, BAM, CRAM, and VCF files.
Parses and manipulates Flow Cytometry Standard (FCS) files to extract event data as NumPy arrays and manage metadata.
Queries the NHGRI-EBI GWAS Catalog for genetic variants, SNP-trait associations, and summary statistics to support genetic epidemiology research.
Analyzes complex events and policies through the lens of ecological science, sustainability frameworks, and conservation biology to evaluate environmental impact.
Processes mass spectrometry data for proteomics and metabolomics analysis using the pyOpenMS library.
Automates complex spreadsheet creation, editing, and financial modeling with dynamic formulas and industry-standard formatting.
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