data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Synchronizes and caches comprehensive Charles Schwab market data, including account status, real-time quotes, and option chains for trading agents.
Builds sophisticated AI agents with tool-calling capabilities and multi-provider LLM integration using a Kotlin-native framework.
Translates trading strategy documentation into production-ready Python backtesting code and TradingView Pine Script.
Transforms complex datasets into clear, actionable visual insights and professional dashboard designs.
Orchestrates AI execution phases to ensure deterministic outputs and efficient resource management within AGI environments.
Builds robust Retrieval-Augmented Generation (RAG) pipelines for grounded AI responses using vector stores and embeddings.
Manages KINTSUGI project initialization by distinguishing between raw and processed data while automating SLURM configuration.
Guides users through a comprehensive 10-step pipeline for processing multiplex imaging data on SLURM-managed HPC clusters.
Maximizes HPC throughput by orchestrating concurrent GPU and CPU batch processing across multiple SLURM accounts.
Optimizes large language models to communicate natively through the Slipstream inter-agent protocol using efficient finetuning workflows.
Enables seamless querying and extraction of datasets from the Cook County Open Data Portal using SODA and SoQL.
Facilitates seamless querying and downloading of City of Chicago municipal datasets using the Socrata Open Data API and SoQL.
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 complex file uploads and metadata mapping to Synapse data collections across local and cloud storage providers.
Streamlines Machine Learning workflows with specialized base classes for training, inference, data export, and deployment.
Converts incompatible image, video, and audio formats into supported extensions for seamless data collection uploads.
Facilitates the programmatic execution and discovery of Synapse plugins across local and distributed environments.
Retrieves real-time quotes, historical OHLCV data, and comprehensive option chains from 25+ Indian brokers using the OpenAlgo Python SDK.
Guides developers in configuring Synapse plugin metadata, action definitions, and runtime environments for seamless tool integration.
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.
Orchestrates complex multi-agent workflows and distributed AI architectures for specialized task execution.
Streamlines the creation of Synapse plugin actions using function-based and class-based patterns with built-in Pydantic validation.
Implements advanced large language model chat completions and conversational context management using the z-ai-web-dev-sdk.
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.
Applies structured self-analysis and governance protocols to evaluate and validate AI decision-making processes.
Enables advanced molecular analysis, chemical property calculation, and 3D coordinate generation using the RDKit toolkit.
Provides standardized, type-safe result schemas for Synapse SDK plugin actions to ensure consistent data output and validation.
Scroll for more results...