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。
Automates complex biomedical research tasks including genomic analysis, drug discovery, and clinical interpretation using an autonomous agent framework.
Processes and analyzes comprehensive physiological signals including ECG, EEG, and EDA for psychophysiology and clinical research.
Facilitates creative scientific research ideation through collaborative hypothesis generation and interdisciplinary connection mapping.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX papers.
Automates laboratory workflows by controlling liquid handling robots, plate readers, and analytical equipment through a hardware-agnostic Python interface.
Transforms, cleans, and reshapes complex datasets locally using industry-standard Python libraries like pandas and numpy.
Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug discovery.
Generates professional, multi-page PDF reports with formatted tables, text, and embedded data visualizations using the reportlab library.
Simulates complex fluid dynamics using high-performance Python pseudospectral methods for Navier-Stokes and geophysical flow equations.
Analyzes single-cell omics data using the scvi-tools framework for probabilistic modeling and batch correction.
Processes video files through format conversion, audio extraction, and high-accuracy speech-to-text transcription using FFmpeg and Whisper.
Implements systematic evaluation strategies for Large Language Model applications using automated metrics, human feedback, and LLM-as-judge patterns.
Evaluates research rigor and methodology to provide deep critical analysis of scientific claims and evidence quality.
Performs differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Implements Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground LLM applications in external knowledge.
Facilitates mass spectrometry data analysis using the pyOpenMS library for proteomics and metabolomics workflows.
Accesses and analyzes gene expression and functional genomics data from the NCBI Gene Expression Omnibus repository.
Processes digital pathology whole slide images by automating tissue detection, tile extraction, and preprocessing for machine learning pipelines.
Generates interactive, publication-quality data visualizations and dashboards using the Plotly Python library.
Processes and generates audio, video, images, and complex documents using Google Gemini's advanced multimodal API capabilities.
Accesses and queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations via E-utilities and Datasets APIs.
Implements advanced prompting patterns and psychological persuasion principles to maximize LLM performance, reliability, and controllability.
Predicts customer lifetime value and performs RFM analysis using regression algorithms for e-commerce and retail data.
Analyzes multi-step user conversion journeys to identify bottlenecks and optimize business growth metrics.
Performs automated RFM analysis and K-means clustering on e-commerce transaction data to identify and rank high-value customer segments.
Standardizes interactions across Apache Airflow 2.x and 3.x API versions for seamless data pipeline orchestration.
Streamlines the creation, planning, and validation of Apache Airflow DAGs using industry best practices and structured MCP tools.
Queries data warehouses and analyzes business metrics to provide actionable insights directly within Claude Code.
Generates novel protein backbones and binder scaffolds using diffusion-based generative modeling for de novo protein structure design.
Predicts biomolecular structures and protein-ligand complexes using the open-source Boltz-1 and Boltz-2 models.
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