Data Science & ML Claude 스킬
data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Advanced Excel & Spreadsheet Manager
Automates complex spreadsheet creation, editing, and financial modeling with dynamic formulas and industry-standard formatting.
Scientific Peer Review Toolkit
Provides a systematic framework for evaluating the methodology, statistics, and integrity of scientific manuscripts and grant proposals.
LatchBio Integration
Builds and deploys serverless bioinformatics workflows using the Latch Python SDK and cloud infrastructure.
Transformers
Integrates state-of-the-art machine learning models for NLP, computer vision, and audio tasks using the Hugging Face ecosystem.
Distribution Search
Optimizes probability distributions to satisfy complex statistical constraints like KL divergence, entropy, and moment conditions through systematic mathematical analysis and numerical search.
AnnData Genomics Toolkit
Manipulates and manages AnnData objects for single-cell genomics workflows, including scRNA-seq data processing and file management.
Arboreto GRN Inference
Infers gene regulatory networks from expression data using high-performance machine learning algorithms like GRNBoost2 and GENIE3.
AI Memory Systems & Architecture
Designs and implements persistent long-term memory systems for AI agents using vector databases, knowledge graphs, and RAG architectures.
Protein Assembly
Designs and optimizes multi-component fusion protein sequences for FRET biosensors and gene synthesis.
Pymatgen Materials Science
Automates materials science workflows including crystal structure analysis, phase diagrams, and Materials Project integration.
ENA Database Access
Accesses the European Nucleotide Archive to retrieve genomic sequences, raw reads, and metadata for bioinformatics pipelines.
COBRApy Metabolic Modeling
Facilitates constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.
NCBI GEO Database Explorer
Accesses and retrieves gene expression and functional genomics data from the NCBI Gene Expression Omnibus (GEO) repository.
PyMC Bayesian Modeling
Builds and validates complex Bayesian models using PyMC's probabilistic programming framework.
TorchDrug Scientific Computing
Accelerates drug discovery and molecular research by providing specialized tools for graph neural networks, protein modeling, and chemical property prediction.
Open Targets Scientific Database
Queries the Open Targets Platform to identify therapeutic drug targets, evaluate disease associations, and analyze clinical trial data.
Polars High-Performance Data Analysis
Optimizes data processing workflows using the high-performance Polars DataFrame library and expression API.
Scanpy Single-Cell Analysis
Performs comprehensive single-cell RNA-seq data analysis and visualization using the Scanpy Python framework.
PyTorch Geometric (PyG)
Simplifies the development and training of Graph Neural Networks (GNNs) for deep learning on irregular and relational data structures.
Scientific Data Visualization
Generates publication-quality scientific figures and multi-panel layouts compliant with major journal standards.
NCBI Gene Database Tools
Queries and retrieves genomic data from NCBI Gene databases using E-utilities and the modern Datasets API.
COSMIC Cancer Genomics Access
Accesses the world's largest somatic mutation database for cancer research and precision oncology data retrieval.
Medchem Molecular Filters
Applies medicinal chemistry rules and structural alerts to triage and prioritize compound libraries for drug discovery workflows.
Scientific Critical Thinking
Evaluates scientific rigor by assessing research methodology, statistical validity, and potential biases using industry-standard frameworks.
LangChain Architecture
Architects sophisticated LLM applications using the LangChain framework with support for autonomous agents, memory management, and RAG patterns.
PyTDC Drug Discovery ML
Provides AI-ready datasets, benchmarks, and molecular oracles for drug discovery and therapeutics machine learning.
ARC-AGI Git Merge & Pattern Tasks
Facilitates solving complex pattern recognition tasks by combining git workflow management with mathematical grid transformation analysis and implementation.
RAG Implementation Toolkit
Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and optimized retrieval pipelines.
Biopython for Bioinformatics
Streamlines computational molecular biology tasks including sequence manipulation, NCBI database queries, and structural analysis.
ClinPGx Pharmacogenomics Database
Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and genotype-guided dosing recommendations.
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