Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Enables advanced geospatial vector data analysis, geometric operations, and spatial mapping within Python environments.
Facilitates seamless querying and downloading of City of Chicago municipal datasets using the Socrata Open Data API and SoQL.
Enables seamless querying and extraction of datasets from the Cook County Open Data Portal using SODA and SoQL.
Searches and summarizes academic papers from ArXiv to streamline scientific research and literature reviews.
Executes prompts across specific AI agents including Copilot, Cursor, and Gemini for diagnostic testing and comparative analysis.
Streamlines Azure Open Datasets development by providing expert guidance on download limits, quotas, and optimized retry logic.
Streamlines the deployment, configuration, and troubleshooting of Azure Data Science Virtual Machines for advanced analytics and ML workflows.
Accelerates Azure AI Video Indexer development with expert guidance on architecture, API integration, and media insights.
Provides expert guidance and troubleshooting for building, deploying, and managing machine learning workloads on Azure.
Provides expert guidance and implementation patterns for Azure AI Vision services, including image analysis, OCR, and container deployment.
Identifies high-impact biomarkers from high-dimensional omics data using advanced machine learning feature selection techniques.
Automates Google Vertex AI multimodal operations to process, analyze, and transform media content within your development environment.
Creates sophisticated, interactive, and custom SVG-based data visualizations using the D3.js library.
Standardizes the creation of R modeling packages by providing consistent preprocessing interfaces and output formatting patterns.
Manipulates R expressions and builds dynamic code using rlang's defuse and inject mechanics.
Streamlines R data visualization workflows with expert guidance on ggplot2 4.0 features and grammar of graphics implementation.
Implements advanced Tidyverse programming patterns to handle data masking and column references in R functions.
Optimizes CUDA kernels and GPU code to maximize hardware utilization and execution speed.
Automates complex RevOps modeling using Monte Carlo simulations to forecast sales capacity and quota attainment scenarios.
Searches and summarizes academic papers from ArXiv to streamline research workflows and literature reviews.
Maps Latvian medicinal products to RxNorm standard concepts for health data interoperability and clinical research.
Implements persistent short-term and long-term memory for AI agents using vector databases and PostgreSQL.
Solves complex Linguistics Olympiad Rosetta Stone problems using multi-perspective agentic AI orchestration.
Conducts autonomous experimentation loops to iteratively optimize code performance based on measurable metrics.
Retrieves structured, machine-readable summaries and full-text markdown of research papers from AlphaXiv.org for efficient analysis.
Screens and analyzes stocks using quantitative multi-factor models to identify high-potential investment opportunities.
Optimizes LLM performance and reduces API costs through strategic prompt, response, and semantic caching techniques.
Provides production-ready architectural blueprints and code implementation guides for building advanced, scalable LLM-powered applications.
Designs and orchestrates collaborative AI agent teams using the CrewAI framework for complex, role-based workflows.
Architects and implements sophisticated, stateful multi-agent LLM applications using LangGraph and Python.
Scroll for more results...