Data Science & ML Agent Skills

Phoenix Reserves Optimizer

Optimizes venture capital reserve allocations and follow-on investment strategies within the Phoenix fund model.

LLM Evaluation & Testing

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.

Phoenix Advanced Financial Forecasting

Powers probabilistic fund performance modeling through graduation rates, multi-MOIC analysis, and Monte Carlo simulations.

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and output controllability in production environments.

Backtest Datetime Visualization

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

InterSystems AutoML Reference

Provides specialized technical guidance for building and deploying predictive models using InterSystems IRIS AutoML.

Scvitools

Analyzes single-cell omics data using deep probabilistic models for integration, batch correction, and differential expression.

Hybrid Search Implementation for RAG

Combines vector similarity and keyword-based search to improve retrieval accuracy and recall in AI-driven applications.

Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics and risk-adjusted return ratios for quantitative trading strategies.

LangChain Architecture

Designs and implements sophisticated LLM applications using the LangChain framework for agents, memory management, and modular workflows.

PubMed Research Assistant

Accesses and queries the PubMed database for biomedical literature, systematic reviews, and citation management.

Advanced XLSX Spreadsheet Manager

Creates, edits, and analyzes sophisticated Excel workbooks with a focus on dynamic formulas, financial modeling standards, and automated recalculation.

Claude Code Colab Customizer

Configures and personalizes your Claude Code Colab environment through interactive setup and automated notebook modification.

LangChain Architecture

Architects and implements sophisticated LLM applications using LangChain agents, chains, and memory patterns.

Embedding Strategies for RAG

Optimizes text embedding selection and chunking strategies to enhance semantic search and RAG application performance.

Vector Index Tuning

Optimizes vector database performance by tuning HNSW parameters and implementing advanced quantization strategies for AI applications.

Aeon Time Series ML

Empowers Claude to perform advanced time series machine learning, including classification, forecasting, and anomaly detection using the specialized aeon toolkit.

Structural Rewilding (A-Life Framework)

Implements a homotopical framework for Artificial Life that treats organisms as morphisms and verifies structural changes at interaction time.

Zarr Python Data Storage

Manages large-scale N-dimensional arrays with chunked storage, compression, and seamless cloud integration for scientific computing pipelines.

LLM Performance Evaluation

Implement comprehensive evaluation frameworks for AI applications using automated metrics, human feedback, and LLM-as-judge patterns.

LLM Evaluation Suite

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking frameworks.

RAG Implementation

Implements advanced Retrieval-Augmented Generation (RAG) workflows to build knowledge-grounded LLM applications and semantic search systems.

Prompt Engineering Patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.

Seaborn Statistical Visualization

Generates high-quality statistical graphics and data visualizations with seamless Pandas integration.

PennyLane Quantum Machine Learning

Builds, trains, and optimizes hybrid quantum-classical models using automatic differentiation and hardware-agnostic circuit programming.

Embedding & Chunking Strategies

Optimizes vector search and RAG applications through intelligent embedding model selection and advanced document chunking strategies.

ONT Align

Automates Oxford Nanopore sequence alignment, reference genome management, and edit distance computations for genomic data analysis.

ML Code Reviewer

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

SimPy Simulation Engine

Builds process-based discrete-event simulations in Python to model complex systems with resource contention and time-based events.

Unit-Aware Computation

Performs precise unit conversions, dimensional analysis, and unit-aware arithmetic using the Pint library.