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。
Facilitates single-cell RNA-seq analysis of cell-cell communication and ligand-receptor interactions using the CellPhoneDB framework.
Generates standardized Jupyter notebooks for fantasy football data analysis, integrating DuckDB connections, dbt mart queries, and professional visualization patterns.
Executes structured, atomic tasks for fantasy football analytics, FASA optimization, and trade intelligence within a standardized sprint framework.
Generates sophisticated, interactive data visualizations and custom SVG graphics with precise control over visual elements and transitions.
Generates detailed experimental procedures from LA-Bench datasets by orchestrating a multi-agent workflow for parsing, reference fetching, and quality validation.
Deploys a self-hosted Text-to-Speech API using MeloTTS and integrates it with LiveKit voice agents for high-quality, low-latency speech synthesis.
Orchestrates the end-to-end generation, validation, and iterative improvement of detailed laboratory experimental procedures using the LA-Bench framework.
Iteratively improves LA-Bench experimental procedures through automated validation, regeneration, and data persistence cycles.
Implements production-grade computer vision systems including object detection, segmentation, and real-time video processing using industry-standard frameworks.
Designs, optimizes, and troubleshoots large language model prompts using research-backed techniques and structured design patterns.
Automates schema validation and business logic extraction to ensure accuracy when generating PySpark ETL transformation code.
Provides expert guidance for high-performance data manipulation and ETL pipeline optimization using the Polars library in Python.
Coordinates multiple AI models in parallel to perform comparative analysis, aggregate decision-making, and track performance across diverse LLM providers.
Orchestrates end-to-end stock trading operations by performing automated screening, multi-model AI analysis, and order execution via Alpaca.
Calculates optimal portfolio weights and identifies the tangency portfolio to maximize the Sharpe ratio based on user-provided asset data.
Facilitates the setup, optimization, and management of molecular mining operations on Bittensor Subnet 68 for decentralized drug discovery.
Provides standardized API patterns and implementation guidance for Meta's Segment Anything Model 3 (SAM3) across image and video tasks.
Trains and fine-tunes language models using Transformer Reinforcement Learning methods on fully managed Hugging Face cloud GPU infrastructure.
Develops, optimizes, and submits high-performance competitive algorithms for Boolean Satisfiability, Vehicle Routing, and Knapsack challenges on The Innovation Game platform.
Builds full-stack AI agents by integrating Google ADK backends with CopilotKit-powered React frontends and Gemini models.
Implements robust Retrieval-Augmented Generation (RAG) pipelines including document ingestion, hybrid search, reranking, and intelligent query routing.
Architects and implements sophisticated graph-based AI agents and multi-agent workflows using LangGraph.
Analyzes LangGraph agent architectures to identify performance bottlenecks and generate data-driven improvement strategies.
Deploys and manages a sophisticated AI infrastructure stack including graph databases, vector search, and multi-agent orchestration.
Manages end-to-end bioinformatics research by orchestrating hypothesis-driven experiment planning, execution, and standardized lab notebook documentation.
Deploys and manages a self-hosted AI infrastructure stack including LLM proxies, inference servers, vector databases, and observability tools.
Processes and generates multimedia content including audio, video, images, and documents using the Google Gemini API.
Analyzes historical document archives to identify and index evidence of forced surrenders, threats, and procedural irregularities with legal-grade precision.
Implements systematic data ingestion strategies for RAG systems using optimized chunking and metadata patterns.
Optimizes AI-assisted qualitative research through model selection guidance, cost estimation, and document processing strategies.
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