发现data science & ml类别的 Claude 技能。浏览 53 个技能,找到适合您 AI 工作流程的完美功能。
Enables Claude to process, analyze, and generate audio, image, video, and document content using Google Gemini APIs.
Performs advanced molecular analysis, descriptor calculation, and chemical informatics using the RDKit library.
Processes DICOM medical imaging files for metadata extraction, pixel data manipulation, and secure patient data anonymization.
Processes and analyzes complex physiological signals including ECG, EEG, and EDA for psychophysiology research and medical data science.
Optimizes LLM performance and reliability through advanced prompt engineering techniques like few-shot learning and chain-of-thought reasoning.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering research.
Searches, filters, and retrieves life sciences preprints and metadata from the bioRxiv database for research and analysis.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking strategies.
Builds sophisticated LLM applications using the LangChain framework with advanced agent, memory, and tool integration patterns.
Evaluates research rigor and scientific claims by assessing methodology, statistical validity, and potential biases using standardized frameworks.
Evaluates research rigor, methodology, and statistical validity to perform critical analysis of scientific claims.
Manipulates, analyzes, and visualizes phylogenetic trees and genomic data with the Environment for Tree Exploration (ETE) framework.
Guides the selection, assumption checking, and interpretation of statistical hypothesis tests for rigorous research data analysis.
Creates and optimizes elizaOS knowledge bases using RAG, smart chunking strategies, and semantic search integration.
Interprets and reports statistical findings with accuracy, prioritizing effect sizes and confidence intervals over simple p-value significance.
Designs and generates high-performance pipelines for synthesizing high-quality LLM training datasets, conversations, and structured data.
Accesses and retrieves extensive cancer genomics data from the COSMIC database for bioinformatics and precision oncology research.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in proprietary data.
Automates the translation of MetaTrader 5 (MQL5) indicators into validated Python implementations for algorithmic trading.
Generates normalized BigWig signal tracks from BAM files for ATAC-seq and ChIP-seq visualization.
Identifies enriched transcription factor binding motifs in genomic regions or gene lists using the HOMER bioinformatics suite.
Quantifies CpG-level methylation variability and epigenetic heterogeneity from whole-genome bisulfite sequencing data using standardized statistical workflows.
Manages genomic experimental reproducibility by pooling BAM files, generating pseudo-replicates, and performing IDR or consensus peak analysis.
Annotates genomic regions with biological features and generates visual distribution summaries using the Homer bioinformatics suite.
Analyzes protein-mediated chromatin interactions to identify and visualize regulatory communities from ChIA-PET datasets.
Identifies topologically associating domains (TADs) from Hi-C data and generates high-resolution contact map visualizations with boundary overlays.
Generates and visualizes DNA methylation distribution patterns around specific genomic features such as promoters, enhancers, or transcription factor binding sites.
Performs Gene Ontology and KEGG pathway enrichment analysis from genomic regions or gene lists with automated R-based visualizations.
Performs PCA-based A/B compartment calling and interaction analysis on Hi-C genomic datasets.
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