Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Implements robust model validation and resampling techniques using the R tidymodels ecosystem and rsample package.
Validates hypotheses and scientific theories by ensuring they are testable and capable of being proven false through rigorous experimentation.
Synthesizes unified answers by orchestrating independent deliberations and adversarial debates between Claude, GPT-5 Codex, and Gemini Pro.
Develops and maintains interactive Streamlit interfaces for document analysis, resume matching, and real-time data visualization.
Routes prompts to any LLM provider and model while leveraging real-time benchmark data for optimal selection.
Constructs personalized recommendation engines using collaborative and content-based filtering to deliver tailored user experiences.
Performs hypothesis-driven statistical analysis and data visualization on datasets, system metrics, and experiment logs.
Automates systematic literature screening using the PRISMA 2020 framework and cost-effective Groq LLMs.
Calculates core financial technical indicators including MA, MACD, RSI, and Bollinger Bands for stock market analysis and quantitative trading.
Extracts structured research data from academic papers and integrates it into a persistent knowledge graph.
Conducts comprehensive multi-paper literature reviews with deep gap analysis and automated citation mapping.
Conducts deep technical research and provides implementation guidance for AI-enabled software development including RAG, agentic workflows, and LLM architectures.
Tracks experiment parameters, results, and environment snapshots to ensure full reproducibility and systematic iteration.
Automates the productionization and deployment of machine learning models into scalable environments using FastAPI, Docker, and Kubernetes.
Automates the end-to-end creation, evaluation, and deployment of machine learning classification models from natural language requests.
Identifies and removes duplicate or visually similar images in FiftyOne datasets using deep learning embeddings.
Monitors and summarizes the Nixtla forecasting ecosystem to provide actionable updates on TimeGPT, StatsForecast, and MLForecast.
Evaluates machine learning models by generating comprehensive performance metrics including accuracy, precision, and F1-score to guide model optimization.
Identifies outliers and unusual patterns in datasets using advanced machine learning algorithms to uncover fraud, defects, or security threats.
Conducts autonomous, institutional-grade financial analysis using multi-guru perspectives and advanced composite scoring.
Automates the transition of time-series forecasting pipelines from TimeGPT-1 to the enhanced TimeGPT-2 architecture.
Initializes a professional Quarto environment for survey data analysis using Python, uv, and Typst PDF pipelines.
Optimizes Large Language Model (LLM) prompts to minimize token consumption, reduce operational costs, and enhance response quality.
Analyzes GitHub repositories to extract computational methodologies and automatically draft scientific Methods sections.
Extracts structured training examples from document sets to create high-quality datasets for teaching LLMs specific tasks or styles.
Facilitates reproducible academic research and data pipelines using dbt and Streamlit while enforcing rigorous data integrity standards.
Streamlines academic research data analysis by enforcing reproducible dbt pipelines and interactive Streamlit dashboards.
Establishes rigorous and defensible ground truth labels for evaluation datasets based on authoritative guidelines.
Downloads solar observation data from SDO, STEREO, and Solar Orbiter missions for scientific analysis and machine learning.
Converts Snakemake and Nextflow pipelines into robust Pegasus workflows for high-performance computing environments.
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