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。
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard financial modeling.
Automates professional spreadsheet creation, financial modeling, and data analysis with formula preservation and industry-standard formatting.
Optimizes MaxFuse integration parameters for high-dimensional protein panels to prevent CCA overfitting during multi-omic data alignment.
Accesses real-time and historical on-chain metrics for Bitcoin, Ethereum, and crypto markets to provide data-driven trading insights.
Standardizes how AI identifies and communicates about specific Jupyter notebook cells using stable, identifiable characteristics instead of volatile cell numbers.
Standardizes scale alignment for multi-modal RNA and protein data integration to ensure accurate cross-modal matching.
Optimizes reinforcement learning reward functions for automated trading to eliminate reward hacking and improve P&L gradient signals.
Diagnoses and resolves bimodal matching score distributions in MaxFuse multi-modal data integration pipelines.
Prevents data shape mismatches and synchronization errors when modifying Jupyter notebook data sources.
Optimizes MaxFuse parameters to prevent RNA cell loss in datasets with extreme protein-to-RNA imbalance ratios.
Optimizes trading regime detection by dynamically adjusting Lotka-Volterra coefficients based on real-time market volatility and momentum.
Implement unified position sizing and sophisticated risk management for trading algorithms using GARCH, Kelly criterion, and quadratic drawdown scaling.
Navigates complex memory graphs using RLM-style recursive search to find deep context without excessive token usage.
Monitors GPU performance, VRAM usage, and inference metrics for local Ollama models.
Integrates Ollama's local LLM capabilities into Claude Code via direct REST API operations using the Python requests library.
Integrates Ollama with the OpenAI Python library to enable seamless migration and compatibility with OpenAI-based tools.
Integrates local LLM inference into Python applications using the official Ollama library for text generation, chat, and model management.
Imports GGUF models directly from HuggingFace into Ollama for seamless local inference and experimentation.
Simplifies building generative UI and LLM-powered React applications with client-side tool calling and sandboxed execution.
Implements enterprise-grade AI solutions using OCI Generative AI, Database 23ai Vector Search, and the Oracle ADK.
Designs framework-agnostic AI agents using Oracle's Open Agent Specification for portable and interoperable agentic systems.
Converts audio and video files into text transcripts with word-level timestamps using WhisperX.
Performs comprehensive cryptocurrency market research and analysis using a multi-agent AI system.
Performs multi-agent cryptocurrency market analysis, tracking price trends, news sentiment, and macro correlations for digital asset evaluation.
Conducts multi-perspective cryptocurrency market analysis using a coordinated swarm of specialized AI agents.
Analyzes and extracts structured insights from video files using AI-powered understanding and timestamped key moment identification.
Provides comprehensive R-based methods for epidemiological analysis, study design, and causal inference.
Conducts comprehensive epidemiological analyses in R, covering study design, causal inference, and outbreak investigation.
Builds sophisticated financial models including DCF analysis, Monte Carlo simulations, and scenario planning for investment decisions.
Integrates Google's Gemini models into your command-line workflow for instant Q&A, content generation, and structured data extraction.
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