data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates budget vs. actual financial variance analysis with professional reporting, materiality flagging, and executive summaries.
Builds professional investment banking-standard discounted cash flow (DCF) models in Excel with automated financial projections and sensitivity analysis.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and more using the NeuroKit2 Python library.
Optimizes deep learning models by refining architectures and training parameters to enhance accuracy and reduce resource consumption.
Retrieves relevant past episodes and patterns from episodic memory to inform AI decision-making and task execution.
Scales Python data processing and scientific computing across multiple cores or clusters for datasets that exceed available memory.
Performs differential gene expression analysis on bulk RNA-seq data using the Python implementation of DESeq2.
Automates the complete scientific research lifecycle from initial data analysis to publication-ready LaTeX manuscripts.
Accesses and integrates data from over 40 bioinformatics web services and databases using a unified Python API.
Analyzes textual data using natural language processing to extract sentiment, keywords, and core topics.
Provides comprehensive Python tools for astronomical data analysis, including celestial coordinates, physical units, and FITS file manipulation.
Initializes tracking sessions for AI execution patterns to enable continuous self-learning and behavioral evolution within agentic workflows.
Provides programmatic access to global statistical datasets including demographic, economic, and environmental indicators via the Data Commons API.
Evaluates research rigor and methodology through systematic assessment of statistical validity, biases, and evidence quality.
Provides deep interpretability and explainability for machine learning models using advanced techniques like SHAP and LIME.
Queries the Ensembl REST API to retrieve gene data, sequences, and variant analysis for over 250 species.
Builds professional-grade Leveraged Buyout (LBO) models in Excel for private equity analysis and transaction screening.
Processes and analyzes genomic data formats including BAM, VCF, and FASTA using a Pythonic interface to htslib.
Queries and interprets NCBI ClinVar data to provide standardized genetic variant classifications and clinical significance evidence.
Automates digital pathology image processing and tile extraction for whole slide images in deep learning pipelines.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Implements probabilistic deep learning models for comprehensive single-cell omics data analysis and multimodal integration.
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
Accesses and processes gene expression and functional genomics data from the NCBI Gene Expression Omnibus repository.
Automates laboratory liquid handling by generating Python Protocol API v2 scripts for Flex and OT-2 robots.
Generates professional, publication-quality plots and charts using Python's foundational visualization library.
Optimizes Large Language Model prompts to minimize token usage, reduce operational costs, and enhance response quality.
Accesses the Human Metabolome Database to retrieve chemical properties, clinical biomarkers, and spectral data for metabolomics research.
Streamlines automated protein testing and validation through cloud-based laboratory workflows and sequence optimization tools.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis and workflow automation.
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