Data Science & ML Agent Skills

Gioia Methodology Framework

Builds and validates the three-level Gioia data structure for systematic qualitative research analysis and academic publication.

Methodological Research Rules

Enforces qualitative research integrity through automated rule generation, saturation tracking, and workspace branching for Claude Code.

Interview Ingest & Data Prep

Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI analysis.

Hotvect Data Dependency Downloader

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

Hotvect Debug Command Storage

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

Qualitative Data Ingestion

Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI-assisted analysis.

SageMaker Result Downloader

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

Hotvect Training Setup

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

Deep Learning Engineering

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

Data Engineering & ETL Tools

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

Synthesis Matrix

Generates structured evidence synthesis matrices to organize, compare, and analyze research data across multiple studies.

Data Visualization

Generates publication-quality data visualizations and scientific figures following academic design and statistical best practices.

PRISMA Flow Diagram

Generates standardized PRISMA 2020-compliant flow diagrams to document the study selection process in systematic literature reviews.

Sensitivity Analysis

Evaluates the robustness of research findings by testing how conclusions change under varying analytical assumptions and data conditions.

Research Synthesis

Synthesizes complex findings from multiple sources into coherent, actionable conclusions with uncertainty quantification.

ADK Advanced

Facilitates visual agent design and advanced reasoning configuration for building sophisticated, multi-step AI workflows.

C++20 Numerical Patterns

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

AgentDB Memory Patterns

Implements high-performance persistent memory and pattern learning for stateful AI agents using AgentDB.

AgentDB Vector Search

Implements high-performance semantic vector search and intelligent document retrieval for RAG systems and context-aware applications.

Qualitative Document Converter

Automates high-fidelity PDF and document conversion by selecting the optimal parsing method for academic and qualitative research data.

AgentDB Memory Patterns

Implements high-performance persistent memory and pattern learning for stateful AI agents using AgentDB.

ReasoningBank Intelligence

Implements adaptive learning and meta-cognitive capabilities to help AI agents optimize strategies and recognize patterns through experience.

ReasoningBank with AgentDB

Implement high-performance adaptive learning and memory distillation for autonomous agents using AgentDB's ultra-fast vector architecture.

V3 Deep Integration for Claude Flow

Optimizes agent orchestration by integrating agentic-flow@alpha to reduce code redundancy and boost performance via Flash Attention and AgentDB.

AgentDB Advanced Features

Optimizes distributed AI systems with sub-millisecond QUIC synchronization, hybrid vector search, and advanced multi-database management patterns.

AgentDB Learning Plugins

Integrates nine reinforcement learning algorithms to build autonomous, self-improving AI agents within the Claude ecosystem.

V3 Memory Unification & AgentDB

Unifies fragmented AI memory systems into a high-performance AgentDB backend featuring HNSW vector search.

AgentDB Vector Search

Implements ultra-fast semantic vector search and intelligent document retrieval for RAG systems and knowledge bases.

Big Data Engineering

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

Flow Nexus Neural Networks

Trains and deploys distributed neural networks using E2B sandboxes and Flow Nexus orchestration.