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 compresses LLM prompts to minimize token usage, lower operational costs, and maximize response quality.
Solves complex combinatorial optimization problems including vehicle routing, scheduling, and resource allocation using Google's open-source suite.
Guides users through a scientifically rigorous five-phase hypothesis testing process to eliminate bias and p-hacking in data analysis.
Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development and bias mitigation.
Integrates high-performance analytical SQL capabilities into Python workflows for efficient data processing and large-scale querying.
Audits and validates dataset catalog entries to ensure metadata consistency, template compliance, and RAG-readiness.
Transforms and analyzes large datasets using DuckDB SQL directly within the Claude Code environment.
Generates publication-quality scientific figures and multi-panel plots adhering to journal standards and accessibility guidelines.
Automates laboratory liquid handling workflows by generating and optimizing Opentrons Protocol API v2 scripts for Flex and OT-2 robots.
Applies rigorous statistical methods and hypothesis testing to derive data-driven insights and validate experimental results.
Performs complex data extraction and sophisticated business analysis using advanced SQL techniques and performance-optimized queries.
Creates, modifies, and analyzes Excel spreadsheets with production-grade formulas, professional formatting, and financial modeling standards.
Performs hydrological modeling and streamflow forecasting using Julia-based classical and machine learning models.
Optimizes AI agent performance through Anthropic-based context engineering and prompt structure standards.
Equips Claude with specialized knowledge for statistical analysis, regression modeling, and reproducible data science script organization.
Provides specialized functions for hydrological modeling and climate data processing within the Julia environment.
Scans data science and tech news sources to discover trending topics and generate actionable content pitches.
Performs automated exploratory data analysis and generates comprehensive markdown reports for over 200 scientific file formats.
Orchestrates multiple AI model providers to optimize development workflows for cost, latency, and reasoning capability.
Streamlines the development, validation, and systematic documentation of trading strategies and market edges.
Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.
Optimizes CUDA kernels and GPU code to maximize hardware utilization and execution speed.
Implements advanced Tidyverse programming patterns to handle data masking and column references in R functions.
Optimizes CUDA code and GPU applications with architecture-specific insights for NVIDIA Hopper, Ada Lovelace, and Ampere hardware.
Standardizes the creation of R modeling packages by providing consistent preprocessing interfaces and output formatting patterns.
Streamlines machine learning workflows in R using the consistent and modular tidymodels ecosystem.
Manipulates R expressions and builds dynamic code using rlang's defuse and inject mechanics.
Orchestrates advanced R data pipelines using complex branching patterns, custom target factories, and efficient iteration strategies.
Designs and reviews R function APIs to ensure they are predictable, pipe-friendly, and follow Tidy Design Principles.
Automates professional-grade spreadsheet creation, editing, and analysis with a focus on formula integrity and financial modeling standards.
Scroll for more results...