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。
Implements a systematic methodology for diagnosing, refining, and validating trading strategies to improve win rates and returns.
Orchestrates complex mathematical computations by deterministically routing natural language requests to specialized CLI tools for symbolic math, logic, and geometry.
Generates and updates professional PyTorch-style docstrings using Sphinx and reStructuredText conventions.
Indexes and manages external reference documents to power Retrieval-Augmented Generation (RAG) for domain-specific AI workflows.
Provides structured methodologies and frameworks for market research, competitor analysis, and professional data synthesis.
Screens and analyzes stocks using quantitative multi-factor models to identify high-potential investment opportunities.
Generates publication-quality scientific diagrams and technical schematics with automated AI quality review and smart iteration.
Transforms initial software concepts into comprehensive, well-architected technical designs and implementation roadmaps.
Architects and implements sophisticated, stateful multi-agent LLM applications using LangGraph and Python.
Generates journal-ready, publication-grade figures and statistical visualizations using colorblind-safe palettes and professional layouts.
Accesses the BRENDA database via SOAP API to retrieve kinetic parameters, reaction equations, and organism-specific enzyme data for biochemical research.
Analyzes single-cell RNA-seq data with standardized workflows for quality control, clustering, and cell type annotation.
Facilitates programmatic access to over 61 million standardized single-cell genomics data points for advanced querying and analysis.
Generates comprehensive, 50+ page professional market research reports with consulting-grade analysis and high-fidelity visualizations.
Evaluates scientific research rigor by assessing methodology, statistical validity, and bias through established frameworks like GRADE and Cochrane ROB.
Builds sophisticated AI-powered applications and blockchain solutions using modern LLMs, machine learning frameworks, and Web3 technologies.
Configures and optimizes Linux-based data science and machine learning environments with full hardware acceleration support.
Optimizes LLM performance and context efficiency using Anthropic-inspired prompt engineering and signal-to-noise optimization principles.
Creates and manages professional spreadsheets with dynamic formulas, financial formatting standards, and advanced data analysis capabilities.
Builds, evaluates, and deploys sophisticated AI agents and multi-agent workflows using Google’s open-source Agent Development Kit.
Processes, analyzes, and generates audio, video, image, and document content using Google Gemini's powerful multimodal API.
Fetches, searches, and manages academic papers from arXiv through a local CLI-based database.
Analyzes CSV datasets using Python pandas to extract statistical insights, detect patterns, and identify data quality issues.
Automates complex spreadsheet creation, data analysis, and financial modeling with professional-grade formatting and formula integrity.
Automates the transition of trained machine learning models into production-ready API services and scalable cloud environments.
Optimizes LLM performance and reliability through advanced prompt engineering techniques and structured reasoning patterns.
Generates and transforms high-quality images using Google's Gemini models through customizable Python scripts.
Implements a decentralized context-sharing protocol for multi-agent systems using cryptographic sharding and Byzantine fault tolerance.
Guides the selection of the optimal Claude model for custom agent tasks based on cost, speed, and reasoning requirements.
Generates publication-quality scientific visualizations using TMLR styling and LaTeX rendering for research and academic reports.
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