Data Science & ML Agent Skills

Workers AI

Provides expert guidance on implementing AI models, generating embeddings, and building Retrieval Augmented Generation (RAG) systems using Cloudflare’s serverless AI platform.

Analyze Goodreads Export

Queries and analyzes personal book libraries from Goodreads CSV exports to provide reading insights and statistics.

PyTorch Shape Validator

Validates and documents PyTorch tensor shapes through inline comments and runtime assertions to prevent common deep learning bugs.

Complex Tensor Handler

Manages complex-valued PyTorch tensors for astronomical imaging, signal processing, and frequency-domain neural networks.

Loop Vectorizer

Transforms inefficient Python loops into high-performance vectorized PyTorch operations to eliminate computational bottlenecks and optimize GPU utilization.

Physics Validator

Validates optical physics parameters for imaging simulations to ensure physically realistic instrument configurations and diffraction regimes.

LLM Integration

Configures and manages diverse LLM providers, streaming callbacks, and token optimization strategies for XSky-based agentic workflows.

Document Parser

Transforms oversized documents into structured, token-optimized hierarchical sections with extracted metadata to overcome context window limitations.

R Survival Analysis Patterns

Implements comprehensive survival analysis and time-to-event modeling patterns using the R statistical programming language.

TidyR Model Evaluation

Streamlines machine learning model performance assessment in R using the tidymodels ecosystem.

Consensus

Consults multiple AI models simultaneously and synthesizes their outputs using configurable strategies to improve accuracy and gather diverse perspectives.

Senior Prompt Engineer

Optimizes LLM performance through advanced prompt engineering, RAG architecture design, and agentic system orchestration.

Scanner Excel Extraction

Extracts, transforms, and structures data from complex Excel files into JSON or CSV formats.

Data Analyst Export

Exports data analysis results into multiple professional formats including CSV, Excel, JSON, and Markdown with customized formatting.

PocketFlow

Orchestrates complex LLM applications using graph-based abstractions, agentic design patterns, and modular task decomposition.

AgentDB Memory Patterns

Implements persistent, high-performance memory and learning patterns for AI agents using AgentDB.

RAG Implementation Toolkit

Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in proprietary knowledge.

LangChain Application Architect

Architects sophisticated LLM applications using the LangChain framework to implement agents, memory management, and complex workflow chains.

Prompt Engineering Patterns

Optimizes LLM interactions through advanced prompting techniques like few-shot learning, chain-of-thought, and systematic template design.

Flow Nexus Neural Networks

Trains and deploys complex neural networks across distributed E2B sandbox environments using custom architectures or pre-built templates.

Python Data Visualization

Generates publication-quality charts and statistical visualizations using Matplotlib and Seaborn.

Agent Development Framework

Streamlines the creation, testing, and optimization of sophisticated autonomous agents and subagents within the Claude Code ecosystem.

Flow Nexus Swarm

Deploys and orchestrates cloud-based AI agent swarms with event-driven workflow automation and intelligent coordination.

Epidemiology Methods for R

Conducts comprehensive epidemiological analyses in R, covering study design, causal inference, and outbreak investigation.

Advanced Excel & Data Analysis

Manages complex spreadsheet creation, modification, and financial modeling with a focus on dynamic formulas and industry-standard formatting.

ML Code Reviewer

Reviews machine learning and deep learning code to optimize model architecture, training loops, and data pipelines for PyTorch and TensorFlow.

Scanner PDF Analysis

Analyzes PDF documents to extract structured data, including tables, section headers, and metadata, while providing automated summaries.

Python Polars Data Engineering

Accelerates data processing workflows using the Polars DataFrame library for lightning-fast, memory-efficient analysis and pipeline optimization.

Backtest Datetime Visualization

Converts trading backtest charts from generic bar indices to precise datetime-based axes for improved temporal context.

LangGraph Architecture Analysis

Analyzes LangGraph agent architectures to identify performance bottlenecks and generate data-driven improvement strategies.