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。
Converts Excel (.xlsx) spreadsheets into clean Markdown tables for seamless data analysis and documentation.
Plans data science and hardware optimization experiments by analyzing historical project logs and domain-specific configurations.
Generates complex AI-driven video compositions and media pipelines using the Renku CLI.
Implements professional R programming patterns using the modern tidyverse ecosystem, rlang metaprogramming, and performance optimization techniques.
Implements modern R programming practices, tidyverse patterns, and performance optimizations for data science workflows.
Transcribes audio files into text using a local whisper.cpp server with GPU acceleration.
Automates Benchling life sciences workflows and manages biological data via the Python SDK and REST API.
Implements robust document attribution and Retrieval-Augmented Generation (RAG) patterns for verifiable AI responses.
Parses and generates Flow Cytometry Standard (FCS) files to facilitate cytometry data preprocessing and scientific analysis.
Architects and optimizes high-performance Retrieval-Augmented Generation systems using advanced embedding, chunking, and search strategies.
Constructs sophisticated Gnostic agent workflows using a structured DSL built on LangGraph's execution substrate.
Automates tissue detection and tile extraction from whole slide images for digital pathology and machine learning workflows.
Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer over RDKit.
Queries and interprets genetic variant clinical significance data from the NCBI ClinVar database.
Streamlines computational molecular biology tasks including sequence analysis, biological file parsing, and programmatic NCBI database access.
Streamlines the analysis of high-density neural recordings from Neuropixels probes through automated preprocessing, spike sorting, and quality curation.
Builds sophisticated, interactive data visualizations and custom SVG-based charts using the D3.js library.
Processes and analyzes whole-slide pathology images using advanced machine learning, spatial graph construction, and multiparametric imaging workflows.
Deploys and runs Python applications on serverless cloud infrastructure with automatic scaling and GPU acceleration.
Retrieves nucleotide sequences, raw sequencing reads, and metadata from the European Nucleotide Archive for genomics research.
Accesses AI-ready drug discovery datasets and benchmarks for therapeutic machine learning and pharmacological prediction.
Automates protein testing and validation through a cloud-based laboratory platform for accelerated biotechnological research and sequence optimization.
Automates the end-to-end scientific research pipeline from hypothesis generation and data analysis to publication-ready LaTeX manuscripts.
Provides comprehensive guidance and best practices for designing, building, and scaling production-grade AI systems and machine learning pipelines.
Provides programmatic access to global statistical data for demographic, economic, and environmental research.
Designs, simulates, and executes quantum circuits using Google's Cirq framework for NISQ-era hardware and noise-aware algorithms.
Streamlines the creation, fitting, and validation of Bayesian models using PyMC's modern probabilistic programming interface.
Queries the Federal Reserve Economic Data (FRED) API to retrieve over 800,000 economic time series for financial research and macroeconomic analysis.
Implements high-performance adaptive learning and memory distillation for self-improving AI agents using AgentDB.
Builds and optimizes Retrieval-Augmented Generation (RAG) systems using advanced vector search, semantic chunking, and retrieval patterns.
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