Discover Agent Skills for data science & ml. Browse 53skills for Claude, ChatGPT & Codex.
Provides expert guidance on implementing AI models, generating embeddings, and building Retrieval Augmented Generation (RAG) systems using Cloudflare’s serverless AI platform.
Queries and analyzes personal book libraries from Goodreads CSV exports to provide reading insights and statistics.
Validates and documents PyTorch tensor shapes through inline comments and runtime assertions to prevent common deep learning bugs.
Manages complex-valued PyTorch tensors for astronomical imaging, signal processing, and frequency-domain neural networks.
Transforms inefficient Python loops into high-performance vectorized PyTorch operations to eliminate computational bottlenecks and optimize GPU utilization.
Validates optical physics parameters for imaging simulations to ensure physically realistic instrument configurations and diffraction regimes.
Configures and manages diverse LLM providers, streaming callbacks, and token optimization strategies for XSky-based agentic workflows.
Transforms oversized documents into structured, token-optimized hierarchical sections with extracted metadata to overcome context window limitations.
Implements comprehensive survival analysis and time-to-event modeling patterns using the R statistical programming language.
Streamlines machine learning model performance assessment in R using the tidymodels ecosystem.
Consults multiple AI models simultaneously and synthesizes their outputs using configurable strategies to improve accuracy and gather diverse perspectives.
Optimizes LLM performance through advanced prompt engineering, RAG architecture design, and agentic system orchestration.
Extracts, transforms, and structures data from complex Excel files into JSON or CSV formats.
Exports data analysis results into multiple professional formats including CSV, Excel, JSON, and Markdown with customized formatting.
Orchestrates complex LLM applications using graph-based abstractions, agentic design patterns, and modular task decomposition.
Implements persistent, high-performance memory and learning patterns for AI agents using AgentDB.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in proprietary knowledge.
Architects sophisticated LLM applications using the LangChain framework to implement agents, memory management, and complex workflow chains.
Optimizes LLM interactions through advanced prompting techniques like few-shot learning, chain-of-thought, and systematic template design.
Trains and deploys complex neural networks across distributed E2B sandbox environments using custom architectures or pre-built templates.
Generates publication-quality charts and statistical visualizations using Matplotlib and Seaborn.
Streamlines the creation, testing, and optimization of sophisticated autonomous agents and subagents within the Claude Code ecosystem.
Deploys and orchestrates cloud-based AI agent swarms with event-driven workflow automation and intelligent coordination.
Conducts comprehensive epidemiological analyses in R, covering study design, causal inference, and outbreak investigation.
Manages complex spreadsheet creation, modification, and financial modeling with a focus on dynamic formulas and industry-standard formatting.
Reviews machine learning and deep learning code to optimize model architecture, training loops, and data pipelines for PyTorch and TensorFlow.
Analyzes PDF documents to extract structured data, including tables, section headers, and metadata, while providing automated summaries.
Accelerates data processing workflows using the Polars DataFrame library for lightning-fast, memory-efficient analysis and pipeline optimization.
Converts trading backtest charts from generic bar indices to precise datetime-based axes for improved temporal context.
Analyzes LangGraph agent architectures to identify performance bottlenecks and generate data-driven improvement strategies.
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