Data Science & ML Agent Skills

Gemini Batch Processor

Automates large-scale asynchronous document processing and bulk LLM tasks using the Google Gemini Batch API.

Market Research Help

Provides comprehensive guidance and command references for the Market Research plugin to streamline competitive analysis and trend reporting.

Data Science Review Specialist

Validates data analysis workflows by reviewing methodology, data quality, and statistical integrity with a high-confidence scoring system.

Data Visualization

Generates professional data visualizations and plots using industry-standard Python libraries like Matplotlib, Seaborn, and Plotly.

Prompt Engineering Patterns

Optimizes Large Language Model performance through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.

WRDS Research Data Access

Provides validated, high-integrity PostgreSQL query patterns and connection logic for Wharton Research Data Services (WRDS) datasets.

HEAD Framework Evaluation

Synthesizes established metrics into structured driver assessments and integrated analytical reports using the HEAD framework.

LangChain Application Architecture

Architects and implements sophisticated LLM applications using LangChain for agents, memory management, and complex workflows.

LangGraph 7-Layer Architect

Builds and manages complex LangGraph agent systems using a structured, 7-layer architectural pattern for scalable AI development.

Veo 3.1 Video Interpolation

Generates cinematic video transitions and morphing animations between two keyframe images using Google’s Veo 3.1 via fal.ai.

RAG Implementation Guide

Builds advanced Retrieval-Augmented Generation (RAG) systems to ground LLM responses with external document knowledge and vector search.

MATLAB & Octave Computing

Automates numerical computing, matrix operations, and scientific visualization using MATLAB and GNU Octave.

ReasoningBank with AgentDB

Implements high-performance adaptive learning and experience replay for AI agents using AgentDB's ultra-fast vector storage.

Hybrid Search Implementation

Implements robust hybrid search systems by combining vector similarity and keyword-based retrieval for enhanced RAG performance.

Similarity Search Patterns

Implements high-performance similarity search and vector database patterns for AI-driven applications.

Quantitative Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies.

LangChain & LangGraph Architecture

Designs and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agent orchestration and state management.

Quantitative Backtesting Frameworks

Builds robust, production-grade backtesting systems to validate trading strategies while eliminating common statistical biases.

MLOps Pipeline & Workflow Orchestration

Builds and automates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.

LLM Evaluation Framework

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

Python Experiment Tracking

Organizes Python research code by implementing consistent logging, metadata tracking, and result comparison workflows.

RAG Pipeline Architect

Implements end-to-end Retrieval-Augmented Generation workflows to enable accurate AI querying of specialized documentation and technical textbooks.

RAG Implementation Suite

Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced retrieval patterns for LLM applications.

Vector Index Tuning Specialist

Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for efficient AI applications.

Advanced Prompt Engineering Patterns

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

Embedding Strategies for RAG

Optimizes embedding model selection and chunking strategies to improve semantic search and RAG application performance.

Scikit-Survival Analysis

Performs advanced survival analysis and time-to-event modeling using the scikit-survival Python library.

Spark Performance Optimizer

Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle tuning to improve performance and scalability.

ADK Agent Engineer

Builds and deploys production-ready Agent Development Kit (ADK) agents with robust testing and multi-agent orchestration.

Excel Data Extraction & Transformation

Extracts, structures, and converts complex Excel data into developer-friendly JSON and CSV formats.