Data Science & ML Agent Skills

Scientific Hypothesis Generator

Formulates testable scientific hypotheses and experimental designs from raw observations and literature data using a structured scientific framework.

NumPy Low-Level Optimization

Optimizes NumPy performance through advanced memory management, stride manipulation, and zero-copy operations.

RDKit Cheminformatics & Drug Discovery

Provides specialized tools for molecular manipulation, chemical property calculation, and machine learning in drug discovery workflows.

Sociology Interview Analyst

Facilitates rigorous qualitative analysis of interview data through systematic coding, theoretical synthesis, and evidence-based interpretation.

RAG Implementation & LLM Knowledge Integration

Builds sophisticated Retrieval-Augmented Generation (RAG) systems to ground AI responses in external knowledge bases and private documentation.

Autonomous Agent Architect

Builds reliable, goal-oriented AI agent systems using proven patterns like ReAct and Plan-Execute to ensure production-grade performance.

LoRA Training Specialist

Guides artists and developers through the end-to-end process of training custom AI art models with a focus on dataset quality and resource optimization.

Polars High-Performance Data Processing

Accelerates data manipulation and analysis using the blazingly fast Polars DataFrame library for Python and Rust.

Alpha Decay Detector

Monitors and analyzes trading strategy performance to identify statistical alpha decay and regime changes.

AI Service Authentication Manager

Configures authentication credentials for external AI services including OpenAI GPT and Google Gemini.

Smart PDF Chunking

Splits PDF documents into optimized segments using token-based text extraction or layout-preserving page division.

RL Agent Validation Framework

Conducts rigorous A/B testing and cost-benefit analysis to validate the impact of Claude-driven agents on reinforcement learning model performance.

Colab Notebook Development Pattern

Standardizes the creation of Google Colab notebooks for machine learning and trading experiments using a high-performance template.

Trading Bot Prediction Optimizer

Fixes prediction failures and optimizes data fetching logic for live algorithmic trading systems.

Data Visualization Expert

Transforms complex datasets into clear, actionable visual insights and professional dashboard designs.

Implement Paper From Scratch

Guides the step-by-step implementation of research papers from scratch to ensure deep understanding and technical reproducibility.

Reliable Autonomous Agents

Architects reliable, self-correcting AI agent systems using proven patterns like ReAct and Plan-Execute to minimize error compounding in production.

Prompt Engineering Expert

Optimizes LLM performance and reliability using advanced prompting patterns, systematic refinement, and architectural best practices.

Excel Analysis

Analyzes Excel spreadsheets, generates pivot tables, and automates complex data visualization workflows.

KINTSUGI TissUUmaps Export Pipeline

Automates the conversion of high-resolution microscopy images into web-optimized DZI tiles and .tmap project files for TissUUmaps visualization.

Research Taste Developer

Develops the analytical intuition to distinguish high-impact, foundational research from incremental work and academic noise.

Unsloth LLM Fine-Tuning

Accelerates LLM fine-tuning by 2x while reducing memory consumption by 80% for models like Llama, Mistral, and Phi.

PyTorch Model Deployment & Optimization

Deploys and optimizes PyTorch models for production environments, edge devices, and high-performance C++ applications.

Dagster Development & Orchestration

Provides expert guidance and standardized patterns for building scalable data pipelines using the Dagster asset-based orchestration framework.

Dagster Prototyper

Generates production-ready Dagster data assets and pipelines using natural language requirements and industry best practices.

Claude Prompt Engineer

Generates high-performance, structured prompts using official Anthropic conventions and 2025 best practices.

Dagster Workspace Creator

Initializes and scaffolds organized multi-project environments for Dagster data orchestration using natural language.

Lifelines Survival Analysis

Performs advanced survival analysis and time-to-event modeling using the lifelines library for medical, clinical, and epidemiological research.

Scikit-Learn Model Explainability

Provides specialized guidance and code patterns for interpreting machine learning models using scikit-learn, SHAP, and advanced diagnostic tools.

Dagster Project Creator

Initializes new Dagster projects with a recommended structure using natural language commands.