Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Transforms and analyzes large datasets using DuckDB SQL directly within the Claude Code environment.
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.
Automates laboratory liquid handling workflows by generating and optimizing Opentrons Protocol API v2 scripts for Flex and OT-2 robots.
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.
Orchestrates multiple AI model providers to optimize development workflows for cost, latency, and reasoning capability.
Scans data science and tech news sources to discover trending topics and generate actionable content pitches.
Streamlines the development, validation, and systematic documentation of trading strategies and market edges.
Performs automated exploratory data analysis and generates comprehensive markdown reports for over 200 scientific file formats.
Master core machine learning pillars including data preprocessing, feature engineering, and robust model evaluation pipelines.
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.
Applies idiomatic JAX patterns and best practices to optimize scientific computing and machine learning workflows in Python.
Generates publication-quality scientific visualizations using TMLR styling and LaTeX rendering for research and academic reports.
Generates rigorous experimental frameworks to validate research hypotheses with statistical significance and comprehensive baseline comparisons.
Optimizes LLM performance and reliability through advanced prompt engineering techniques and structured reasoning patterns.
Automates the creation, configuration, and deployment of machine learning demos on Hugging Face Spaces using Gradio, Streamlit, and ZeroGPU.
Creates and manages professional spreadsheets with dynamic formulas, financial formatting standards, and advanced data analysis capabilities.
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