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。
Empowers Claude to perform advanced time series machine learning, including classification, forecasting, and anomaly detection using the specialized aeon toolkit.
Manages large-scale N-dimensional arrays with chunked storage, compression, and seamless cloud integration for scientific computing pipelines.
Accesses and queries the PubMed database for biomedical literature, systematic reviews, and citation management.
Queries, analyzes, and explores complex data through the Honeydew semantic layer using natural language or structured fields.
Builds and manages reactive Python notebooks and data applications using the marimo framework.
Applies precise data filtering and conditional logic across Honeydew perspectives, metrics, and attributes using standardized SQL syntax.
Optimizes Apache Spark performance through advanced partitioning, memory tuning, and shuffle management strategies.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search applications.
Architects sophisticated LLM applications using agents, memory, and tool integration within the LangChain framework.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Calculates comprehensive portfolio risk metrics like VaR, CVaR, and Sharpe ratios to monitor and manage financial exposure.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Implements optimized hybrid search patterns combining vector similarity and keyword matching to enhance RAG system recall.
Implements sophisticated tiered memory systems to help LLMs maintain long-term context and entity relationships across multiple sessions.
Implements advanced Retrieval-Augmented Generation patterns to optimize document retrieval and LLM context window efficiency.
Implements persistent, tiered memory systems to help AI agents maintain long-term context and entity relationships.
Formally verifies mathematical statements and generates Lean 4 proofs using Harmonic's Aristotle engine.
Analyzes, manipulates, and visualizes Excel spreadsheets using Python-based automation to generate insights and formatted reports.
Manages persistent AI agent memory using a multi-layer architecture to prevent information loss and optimize context usage.
Generates high-quality videos with consistent subject appearance using Google’s Veo 3.1 model and reference images.
Facilitates the design, implementation, and management of structured multi-agent teams using the OpenClaw framework.
Configures and manages AI model selection, provider gateways, and failover logic for the OpenClaw self-hosted AI gateway.
Generates real-world evidence from observational data using advanced R-based causal inference and target trial emulation techniques.
Optimizes LLM performance through advanced prompt engineering patterns, RAG evaluation frameworks, and agentic system design.
Empowers Claude with advanced statistical modeling, experimental design, and production-grade machine learning workflows.
Streamlines the development of data pipelines, SAP system integrations, and machine learning scenarios within the SAP Data Intelligence Cloud ecosystem.
Deploys and manages enterprise-grade AI/ML workloads on SAP Business Technology Platform using SAP AI Core and AI Launchpad.
Develops and deploys in-database machine learning models using the SAP HANA Python Client (hana-ml).
Integrates SAP AI Core and Generative AI Hub services into enterprise JavaScript and Java applications.
Streamlines product experiment planning by generating testable hypotheses, calculating sample sizes, and interpreting A/B test results with statistical rigor.
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