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。
Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, and sophisticated semantic search patterns.
Provides a comprehensive suite of 100+ molecular featurizers for converting chemical structures into machine learning-ready numerical representations.
Manages annotated data matrices for single-cell genomics and large-scale biological datasets using the AnnData framework.
Builds and automates end-to-end MLOps pipelines from data preparation and model training to validation and production deployment.
Scales Python, pandas, and NumPy workflows across multiple cores or clusters for larger-than-memory datasets.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and advanced semantic search architectures.
Creates, modifies, and analyzes professional Excel spreadsheets with automated formula recalculation and industry-standard financial formatting.
Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomic data for over 250 species.
Queries and analyzes the OpenAlex database to search scholarly literature, track citations, and perform bibliometric analysis.
Designs and implements evolutionary persistent memory architectures for AI agent systems using RAG and Knowledge Graphs.
Architects high-performance AI prompts using advanced complexity-based standards, attention management, and structural optimization patterns.
Optimizes LLM performance through advanced prompt patterns including few-shot learning, chain-of-thought reasoning, and modular template systems.
Implements advanced agentic patterns to prevent context saturation and optimize parallel execution within Claude Code environments.
Optimizes AI models for resource-constrained edge devices using advanced quantization, memory management, and battery-smart inference patterns.
Performs rigorous statistical analysis, hypothesis testing, and APA-compliant reporting for academic and experimental research.
Trains and deploys complex neural network architectures within distributed E2B sandbox environments using Flow Nexus.
Provides a unified interface for rapid bioinformatics queries across 20+ genomic databases including Ensembl, AlphaFold, and NCBI.
Designs adaptive user-facing agent experts to create personalized product experiences and dynamic UX.
Designs and implements autonomous AI agents with sophisticated tool use, memory systems, and multi-agent orchestration.
Productionizes machine learning models and builds scalable AI systems with deep expertise in MLOps, RAG architectures, and high-performance inference.
Architects and implements robust autonomous AI agents with sophisticated tool use, memory systems, and multi-agent orchestration.
Automates the transfer of HuggingFace models to RunPod Network Volumes via Google Colab to minimize GPU billing costs.
Integrates LangChain4j into Spring Boot applications using auto-configuration and declarative AI Services.
Performs exact symbolic mathematical computations including algebra, calculus, and physics modeling directly in Python.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Automates professional Excel spreadsheet creation, financial modeling, and data analysis with error-free formula verification.
Performs high-performance genomic interval analysis, overlap detection, and machine learning tokenization using Rust-powered tools.
Implement and optimize production-grade prompt patterns including few-shot learning and chain-of-thought reasoning for enhanced LLM performance.
Conducts comprehensive market analysis, industry trend tracking, and market sizing calculations to drive data-informed business decisions.
Enables programmatic PDF manipulation, data extraction, and document creation using professional Python and command-line tools.
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