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。
Facilitates seamless querying and downloading of City of Chicago municipal datasets using the Socrata Open Data API and SoQL.
Optimizes large language models to communicate natively through the Slipstream inter-agent protocol using efficient finetuning workflows.
Streamlines the retrieval of demographic, economic, and housing data from the US Census Bureau API.
Streamlines AILANG programming for AI agents by providing real-time syntax rules, capability-based execution, and a searchable library of 90+ code examples.
Streamlines the creation, configuration, and management of diverse datasets on the Hugging Face Hub directly from your development environment.
Retrieves real-time quotes, historical OHLCV data, and comprehensive option chains from 25+ Indian brokers using the OpenAlgo Python SDK.
Architects and implements robust ML feature stores using Feast, Great Expectations, and DVC for production-grade machine learning pipelines.
Builds production-ready AI applications including RAG systems, vector search, and multi-provider LLM orchestrations.
Enables advanced molecular analysis, chemical property calculation, and 3D coordinate generation using the RDKit toolkit.
Orchestrates complex multi-agent workflows and distributed AI architectures for specialized task execution.
Downloads, parses, and summarizes ArXiv research papers by analyzing their raw LaTeX source code for deep technical insights.
Implements advanced large language model chat completions and conversational context management using the z-ai-web-dev-sdk.
Applies structured self-analysis and governance protocols to evaluate and validate AI decision-making processes.
Resolves conflicts between competing ethical and technical values through a structured pluralistic analysis framework.
Automates professional spreadsheet creation, data analysis, and financial modeling with rigorous formula integrity and industry-standard formatting.
Deploy machine learning models into production environments using robust APIs, containerization, and MLOps workflows.
Discover hidden structures and anomalies in unlabeled data using advanced unsupervised learning algorithms and dimensionality reduction.
Executes production-grade molecular dynamics simulations using MDClaw and OpenMM with automated equilibration and HPC support.
Streamlines the end-to-end preparation of molecular dynamics simulations using MDClaw CLI tools.
Automates deep academic research using the Perplexity Deep Research API to generate cited, evidence-based reports.
Analyzes and interprets molecular dynamics simulation trajectories using MDClaw CLI tools to evaluate structural stability and molecular interactions.
Accesses the Open Targets Platform to identify therapeutic targets, analyze disease associations, and evaluate drug tractability.
Integrates with LabArchives Electronic Lab Notebook (ELN) via REST API to automate research documentation, data uploads, and notebook management.
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.
Simplifies molecular machine learning workflows for drug discovery, property prediction, and materials science using DeepChem's specialized toolsets.
Develops and optimizes quantum machine learning models and circuits across multiple hardware platforms using automatic differentiation.
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