Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Generates professional Excel pivot tables and visualizations from raw data using natural language commands.
Formulates testable, evidence-based scientific hypotheses and experimental designs from observations using a structured framework.
Analyzes and models strange attractors with sensitive dependence on initial conditions within complex dynamical systems.
Maps and transforms prediction market datasets into standardized Nixtla-compatible formats for automated time-series forecasting.
Analyzes the stability of dynamical systems using Lyapunov's direct method and algebraic dynamics principles.
Extracts and analyzes narrative arcs, causality, and token novelty from complex text and codebases.
Performs automated data clustering analysis using K-means, DBSCAN, and hierarchical algorithms to identify patterns and anomalies within datasets.
Guides the setup, validation, and experiment orchestration of Nixtla TimeGPT forecasting environments.
Master advanced NumPy indexing techniques to efficiently manipulate arrays and optimize memory usage through views and copies.
Installs and manages specialized Nixtla forecasting and TimeGPT skills for Claude Code.
Implements robust evaluation patterns for RAG pipelines and LLM outputs using metrics like faithfulness, relevance, and synthetic data generation.
Implements high-performance persistent memory systems for AI agents to enable long-term context retention and autonomous pattern learning.
Performs professional financial stock analysis using technical indicators, automated chart generation, and news sentiment tracking.
Decomposes complex computational problems into three balanced, parallel components using GF(3) conservation and sheaf-theoretic gluing.
Implements conversational AI and text generation capabilities using the z-ai-web-dev-sdk for robust backend applications.
Implements sophisticated chat completion functionality and multi-turn conversational AI using the z-ai-web-dev-sdk.
Guides users through statistical test selection, assumption verification, and APA-formatted research reporting.
Implements self-improving code architectures that use formal proofs and evolutionary search to safely enhance system utility.
Automates scientific hypothesis generation and testing on tabular datasets by combining empirical data patterns with literature insights.
Generates professional, 50+ page market research reports in LaTeX format featuring advanced data visualizations and consulting-grade strategic frameworks.
Implements rigorous statistical modeling, econometrics, and time series analysis using Python's statsmodels library.
Enables real-time, AI-powered web searches with cited sources and advanced reasoning capabilities through the Perplexity model family.
Evaluates the rigor of scientific claims by assessing methodology, identifying biases, and grading evidence quality using standardized frameworks.
Conducts comprehensive, multi-database literature searches and synthesizes findings into professionally formatted research documents with verified citations.
Automates academic literature search and technical research using Perplexity's Sonar models with intelligent reasoning selection.
Creates publication-quality statistical graphics and complex data visualizations using a high-level Python interface.
Develops reactive Python notebooks and interactive dashboards using the marimo framework.
Orchestrates the end-to-end creation of publication-quality AI/ML benchmark reports with high-resolution diagrams and PDF export.
Simplifies working with pre-trained transformer models for NLP, computer vision, and audio tasks within Claude Code.
Manages fast, reproducible scientific Python environments by unifying the conda and PyPI ecosystems.
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