data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Guides developers in configuring Synapse plugin metadata, action definitions, and runtime environments for seamless tool integration.
Converts incompatible image, video, and audio formats into supported extensions for seamless data collection uploads.
Streamlines complex file uploads and metadata mapping to Synapse data collections across local and cloud storage providers.
Streamlines the creation of Synapse plugin actions using function-based and class-based patterns with built-in Pydantic validation.
Automates the literature research workflow by aggregating, deduplicating, and analyzing papers, code repositories, and technical blogs.
Provides standardized, type-safe result schemas for Synapse SDK plugin actions to ensure consistent data output and validation.
Automates Lie group symmetry analysis for differential equations using the ReLie package in the REDUCE Computer Algebra System.
Streamlines the creation, configuration, and management of diverse datasets on the Hugging Face Hub directly from your development environment.
Downloads, parses, and summarizes ArXiv research papers by analyzing their raw LaTeX source code for deep technical insights.
Deploy machine learning models into production environments using robust APIs, containerization, and MLOps workflows.
Enables advanced molecular analysis, chemical property calculation, and 3D coordinate generation using the RDKit toolkit.
Discover hidden structures and anomalies in unlabeled data using advanced unsupervised learning algorithms and dimensionality reduction.
Automates deep academic research using the Perplexity Deep Research API to generate cited, evidence-based reports.
Generates dynamic knowledge graphs, system architecture diagrams, and memory timelines to visualize complex AI states.
Accesses the Open Targets Platform to identify therapeutic targets, analyze disease associations, and evaluate drug tractability.
Integrates long-term memory capabilities into the Kymera Voice assistant using World Weaver for context-aware interactions.
Integrates with LabArchives Electronic Lab Notebook (ELN) via REST API to automate research documentation, data uploads, and notebook management.
Implements a rigorous risk management framework for high-conviction, 95% concentrated position trading.
Synchronizes portfolio management and mean-reversion trading systems to ensure unified capital allocation and strategy alignment.
Generates advanced financial projections, Monte Carlo simulations, and tax-optimized strategies for active trading portfolios.
Conducts comprehensive pre-submission reviews for journal manuscripts, orchestrating statistical validation, bias detection, and compliance checks.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard financial formatting.
Builds, simulates, and executes quantum circuits on simulators and hardware providers using Google's open-source Cirq framework.
Manages and analyzes microscopy image data within the OMERO platform using the Python API for scientific workflows.
Optimizes Ericsson RAN features through Managed Object intelligence and advanced parameter correlation analysis.
Converts chemical structures into numerical representations for machine learning using over 100 specialized featurizers and pretrained models.
Develops and optimizes quantum machine learning models and circuits across multiple hardware platforms using automatic differentiation.
Simplifies molecular machine learning workflows for drug discovery, property prediction, and materials science using DeepChem's specialized toolsets.
Processes and visualizes high-throughput sequencing data to generate publication-quality genomic insights and quality control reports.
Performs comprehensive statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
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