Data Science & ML Agent Skills

Differential Methylation Analysis

Identifies differential DNA methylation regions and cytosines between experimental conditions using WGBS methylation tracks.

Hotvect Data Dependency Downloader

Automates the retrieval of training and test data dependencies from S3 for local machine learning model development and backtesting.

Known Motif Scanning

Identifies and maps transcription factor binding motifs within genomic regions like ChIP-seq and ATAC-seq peaks using HOMER.

SageMaker Result Downloader

Automates the retrieval of SageMaker backtest results from Amazon S3 for local analysis and performance comparison.

Hotvect Debug Command Storage

Captures and stores failed Hotvect command invocations as executable shell scripts for seamless debugging and reproduction.

Methylation Variability Analysis

Quantifies CpG-level methylation variability and epigenetic heterogeneity from whole-genome bisulfite sequencing data using standardized statistical workflows.

Integrative Methylation-Expression Analysis

Integrates differential methylation and gene expression datasets to identify coordinated epigenetic regulation patterns and classify regulatory relationships.

Hotvect Training Setup

Streamlines the configuration and validation of Hotvect algorithm training runs for Vowpal Wabbit.

Times Square Integration

Integrates the Times Square notebook execution system into web applications using established patterns for data fetching, real-time updates, and URL management.

Deep Reasoning & Qualitative Analysis

Facilitates structured, step-by-step thinking for complex analytical decisions and qualitative research framework development.

Big Data Engineering

Architects and optimizes high-performance distributed data pipelines for petabyte-scale workloads using Apache Spark and modern table formats.

Deep Learning Engineering

Builds, optimizes, and deploys production-grade neural networks using PyTorch, TensorFlow, and modern transformer architectures.

Python Programming for Data Engineering

Develops production-grade Python scripts for scalable ETL pipelines and high-performance data processing systems.

GFlowNet ML Framework

Implements Generative Flow Networks to sample diverse candidates proportionally to their reward functions.

Data Engineering & ETL Tools

Automates production-grade ETL pipelines and data orchestration using industry-standard tools like Airflow, dbt, and Prefect.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation through production deployment and monitoring.

LangChain Architecture Design

Architects sophisticated LLM applications using LangChain patterns for autonomous agents, stateful memory management, and modular chains.

Prompt Engineering Patterns

Optimizes LLM performance and reliability through advanced prompting techniques like chain-of-thought and few-shot learning.

RAG Implementation Expert

Builds Retrieval-Augmented Generation (RAG) systems to ground LLM applications with vector databases and semantic search capabilities.

Gemini Prompt Engineering

Optimizes AI workflows by providing expert guidance and implementation patterns for Google Gemini models.

LLM Evaluation Framework

Implements rigorous evaluation strategies for LLM applications using automated metrics, human-in-the-loop feedback, and advanced benchmarking.

Grok Prompt Engineering

Provides specialized guidance for crafting high-performance prompts for xAI's Grok model using real-time knowledge and conversational styles.

Statistics & Mathematics for Data Science

Provides foundational mathematical tools and statistical methods for data analysis, hypothesis testing, and machine learning architecture.

Incentive-Based Prompt Engineering

Boosts AI response quality by up to 115% using research-backed techniques like persona assignment, stakes language, and step-by-step reasoning.

C++20 Numerical Patterns

Provides standardized C++20 implementations for high-performance numerical computing, matrix operations, and parallel I/O.

FreqAI ML Integration

Implements a self-adaptive machine learning retraining framework for automated trading signals and market regime detection.

LLM Apps Creator

Simplifies the creation of LLM-powered applications and autonomous agents using standardized LangChain implementation patterns.

Directed Interval Logic

Axiomatizes the directed interval 0 → 1 to model irreversible processes and time-directed homotopy in synthetic infinity-categories.

AI Chain Modularization Planner

Generates structured plans to decompose complex AI include chains into modular, reusable components.

Scientific Critical Thinking

Evaluates research rigor and scientific claims by assessing methodology, statistical validity, and potential biases using standardized frameworks.