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。
Indexes codebases and documents for semantic search to enable local Retrieval-Augmented Generation (RAG) using Ollama and FAISS.
Integrates Gemini AI with Google Maps grounding to provide accurate, location-aware responses and recommendations for over 250 million places worldwide.
Facilitates the development and orchestration of collaborative multi-agent AI systems and automated workflows.
Implements comprehensive meta-analysis workflows in R, including effect size calculation, heterogeneity assessment, and publication bias detection.
Transforms inefficient Python loops into high-performance vectorized PyTorch operations to eliminate computational bottlenecks and optimize GPU utilization.
Queries the China Biographical Database to retrieve detailed biographical information, social relationships, and official appointments of historical Chinese figures from the 7th century BCE through the 19th century CE.
Implements the System Skill Pattern to build persistent, data-driven CLI tools that evolve through continuous user interaction.
Quantifies global copper supply concentration and structural risks using automated data scraping and Bloomberg-style visualizations.
Rent high-performance GPUs and manage machine learning training jobs on Basilica's decentralized compute marketplace.
Validates LlamaFarm YAML configurations against schemas and custom business rules to ensure project integrity.
Provides a standardized workflow for data preparation, exploratory analysis, and high-quality visualization using Python libraries.
Search and synthesize local vector RAG stores using an AI-powered graphical interface.
Manages complex-valued PyTorch tensors for astronomical imaging, signal processing, and frequency-domain neural networks.
Validates and documents PyTorch tensor shapes through inline comments and runtime assertions to prevent common deep learning bugs.
Enforces adherence to PRISM architectural patterns by validating the implementation of Runner and Trainer classes during refactoring.
Identifies and resolves memory exhaustion issues in Python and PyTorch applications, specifically targeting matplotlib figures and tensor accumulation.
Configures and manages diverse LLM providers, streaming callbacks, and token optimization strategies for XSky-based agentic workflows.
Diagnoses and resolves openai_harmony.HarmonyError and tool calling failures when using GPT-OSS models with vLLM.
Streamlines code reviews for the Llama Stack repository by focusing on distributed system patterns, API compatibility, and automated testing fixtures.
Validates optical physics parameters for imaging simulations to ensure physically realistic instrument configurations and diffraction regimes.
Builds and orchestrates end-to-end MLOps pipelines from data preparation through model training to production deployment.
Designs and implements sophisticated multi-agent architectures to overcome context limitations and handle complex task decomposition.
Interacts with diverse large language models through a command-line interface to perform tasks like prompt execution, data extraction, and embedding management.
Generates static bootstrap packages to initialize MOVA AI models and environments without requiring external LLM calls.
Optimizes LLM performance through advanced prompt engineering, RAG architecture design, and agentic system orchestration.
Optimizes embedding models and chunking strategies to enhance semantic search and RAG application performance.
Implements and analyzes linear time-invariant (LTI) control systems using the ctrlsys library and IFAC computer control principles.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and statistical benchmarking.
Facilitates seamless integration with vector databases for semantic search, retrieval-augmented generation (RAG), and high-dimensional embedding management.
Analyzes macroeconomic trends by mapping earnings growth and financial conditions onto a four-quadrant investment clock model.
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