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。
Refines and condenses AI prompts to minimize token consumption while maximizing output quality and performance.
Develops personalized recommendation engines using collaborative filtering, content-based analysis, and hybrid modeling techniques.
Generates standardized JavaScript scaffolds and implementation patterns for Tradovate trading indicators.
Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and performance evaluation.
Orchestrates complex multi-agent workflows using AI SDK v5 to manage handoffs, intelligent routing, and cross-provider coordination.
Automates scientific hypothesis generation and testing by combining observational data with literature insights using large language models.
Transforms vague natural language inputs into precision-engineered prompts for Claude, ChatGPT, Gemini, and other large language models.
Accesses and analyzes global public statistical data from authoritative sources via the Data Commons knowledge graph.
Optimizes CUDA and GPU computing development with performance-focused guardrails and industry-standard implementation patterns.
Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.
Processes, filters, and analyzes mass spectrometry data for metabolomics research and chemical identification.
Builds interactive, publication-quality data visualizations using the D3.js library for any JavaScript environment.
Accesses the Human Metabolome Database to retrieve chemical properties, clinical biomarkers, and spectral data for metabolomics research.
Designs and implements sophisticated LLM applications using LangChain's modular framework for agents, memory, and multi-step workflows.
Executes and visualizes machine learning clustering algorithms to discover patterns and groupings within complex datasets.
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and genomics research.
Converts text into high-quality audio files using the ElevenLabs API with customizable voice parameters and presets.
Orchestrates systematic literature searches and reviews by finding, screening, and extracting data from scientific papers across PubMed and Semantic Scholar.
Performs constraint-based metabolic modeling, flux balance analysis, and gene knockout simulations for systems biology and metabolic engineering.
Streamlines systematic literature searches and reference management using PubMed, PICO analysis, and citation metrics.
Performs advanced regression analysis and predictive modeling to identify variable relationships and forecast data trends using automated statistical tools.
Processes and analyzes images using advanced computer vision techniques to identify objects, classify scenes, and segment visual data.
Generates publication-quality scientific visualizations and complex multi-panel plots using Python's foundational Matplotlib library.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX papers.
Detects and manages duplicate or near-duplicate images in FiftyOne datasets using advanced brain similarity computations.
Visualizes computer vision datasets in 2D using dimensionality reduction to explore data structure, clusters, and outliers.
Enforces official Voxel51 and FiftyOne Python coding conventions for consistent and maintainable development.
Optimizes deep learning model performance by refining architectures, tuning hyperparameters, and implementing efficient training strategies.
Automates the configuration and initialization of machine learning experiment tracking tools like MLflow and Weights & Biases.
Builds custom FiftyOne operators and interactive panels to extend computer vision data workflows.
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