发现data science & ml类别的 Claude 技能。浏览 53 个技能,找到适合您 AI 工作流程的完美功能。
Constructs advanced financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for professional investment valuation.
Builds Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases, semantic search, and advanced retrieval strategies.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking to ensure performance and quality.
Implements efficient similarity search and vector database patterns for semantic search, RAG retrieval, and recommendation engines.
Build and orchestrate production-grade MLOps pipelines from data preparation through model training, validation, and deployment.
Implements search architectures that combine vector similarity and keyword matching to maximize retrieval precision and recall.
Builds robust, production-grade backtesting systems for trading strategies while mitigating common pitfalls like look-ahead and survivorship biases.
Optimizes Apache Spark workloads through advanced partitioning, memory management, and shuffle tuning strategies.
Optimizes LLM performance and reliability through advanced techniques like few-shot learning, chain-of-thought reasoning, and structured prompt templates.
Builds sophisticated LLM applications by architecting modular chains, autonomous agents, and robust memory management systems using the LangChain framework.
Optimizes semantic search and RAG applications through intelligent model selection, chunking strategies, and embedding quality evaluation.
Builds production-ready Apache Airflow pipelines using industry best practices for orchestration, testing, and error handling.
Orchestrates intelligent agent swarms, manages secure code sandboxes, and handles application deployment within the Flow Nexus ecosystem.
Implements and trains reinforcement learning algorithms to create self-improving autonomous agents using the AgentDB plugin system.
Implements high-performance persistent memory and pattern-learning capabilities for stateful AI agents using AgentDB.
Trains and deploys custom neural network architectures across distributed sandbox environments.
Implements adaptive learning and meta-cognitive capabilities to enable AI agents to recognize patterns and optimize strategies through continuous experience.
Implements adaptive learning and experience replay for agents using a high-performance vector database to optimize decision-making over time.
Creates, edits, and analyzes professional spreadsheets with dynamic formulas, financial modeling standards, and automated recalculation.
Facilitates the development, debugging, and maintenance of React-based notebook interfaces within the Positron IDE.
Generates advanced financial models including DCF analysis, Monte Carlo simulations, and sensitivity testing for investment valuation and risk assessment.
Builds, fits, and validates robust Bayesian models using PyMC's modern probabilistic programming interface.
Builds, optimizes, and executes quantum circuits and algorithms on simulators or real hardware using the Qiskit framework.
Builds, analyzes, and visualizes complex networks and graph data structures using the comprehensive NetworkX library for Python.
Parses and manipulates Flow Cytometry Standard (FCS) files, converting biological data into NumPy arrays and CSV formats for scientific analysis.
Simulates and analyzes quantum mechanical systems using the QuTiP toolbox for both closed and open system dynamics.
Enables parallel and distributed computing in Python to scale data processing beyond memory limits.
Accesses AI-ready Therapeutics Data Commons (TDC) datasets and benchmarks for drug discovery and pharmaceutical machine learning.
Applies medicinal chemistry rules and structural filters to prioritize drug-like compounds in molecular discovery workflows.
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.
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