Data Science & ML Agent Skills

Transfer Learning Adapter

Automates the adaptation and fine-tuning of pre-trained machine learning models for specific tasks and new datasets.

AgentDB Memory Patterns

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

Machine Learning Pipeline Workflow

Builds and orchestrates end-to-end MLOps pipelines from data preparation and training through to production deployment.

Antigravity Context Manager

Orchestrates dynamic AI context, intelligent memory systems, and RAG workflows for enterprise-scale multi-agent applications.

Data Import and Profiling

Systematizes the process of discovering, profiling, and importing CSV data into relational databases with comprehensive quality checks.

AI Memory System Architect

Designs and implements layered memory architectures including short-term, long-term, and temporal knowledge graphs for persistent AI agents.

Resource Detector & Strategy Advisor

Identifies system hardware capabilities and provides strategic recommendations for optimal computational performance in scientific tasks.

Superpowers Lab

Provides a specialized laboratory environment for experimenting with and implementing advanced Claude capabilities.

Galaxy Benchmark Ground-Truth Expander

Refines and expands acceptable ground-truth tools for Galaxy tool recommendation benchmarks through manual validation and IO compatibility analysis.

AgentDB Vector Search

Powers Claude with high-performance vector search and semantic retrieval for RAG systems and intelligent document indexing.

Nixtla TimeGPT Fine-Tuning Lab

Optimizes Nixtla TimeGPT models through automated dataset preparation, job submission, and performance benchmarking for domain-specific forecasting.

OpenAI Whisper CLI

Enables high-accuracy local speech-to-text transcription and translation without requiring external API keys.

InterSystems AutoML Reference

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

Codex High-Reasoning Bridge

Bridges Claude to the OpenAI Codex CLI to leverage high-reasoning gpt-5.3 models for complex analysis and structured data extraction.

Data Preprocessing Pipeline

Automates the cleaning, transformation, and validation of raw data into production-ready datasets for machine learning models.

Pymoo Optimization

Solves complex single and multi-objective optimization problems using state-of-the-art evolutionary algorithms and decision-making tools.

AgentDB Memory Patterns

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

OpenAI Whisper Transcriber

Transcribes audio files into text or JSON using OpenAI's Whisper API via simple terminal commands.

OpenAI Whisper CLI

Transcribes audio files into text and subtitles locally using OpenAI's Whisper models without requiring an API key.

Dataset Splitter

Automates the partitioning of data into training, validation, and testing sets for machine learning workflows.

ML Hyperparameter Tuner

Optimizes machine learning model performance through automated grid search, random search, and Bayesian optimization.

Vaex Big Data Processing

Processes and visualizes massive tabular datasets exceeding RAM limits using lazy, out-of-core DataFrames.

Dataset Splitter

Automates the partitioning of datasets into training, validation, and testing sets for machine learning workflows.

Nixtla Usage Optimizer

Audits Nixtla library implementation to suggest cost-effective model routing and forecasting performance optimizations.

LangChain Core Workflow A

Builds production-ready LangChain chains and prompt templates using LangChain Expression Language (LCEL).

NetworkX Graph Analysis

Creates, analyzes, and visualizes complex network structures and graph algorithms using the NetworkX library in Python.

ClinVar Database Assistant

Queries NCBI ClinVar to retrieve genetic variant clinical significance, interpret pathogenicity, and annotate VCF files for genomic medicine.

Epidemiology Methods in R

Provides comprehensive R-based methods for epidemiological analysis, study design, and causal inference.

Epidemiology Methods for R

Conducts comprehensive epidemiological analyses in R, covering study design, causal inference, and outbreak investigation.

Cost-Aware LLM Pipeline

Optimizes LLM API expenses through intelligent model routing, immutable cost tracking, and efficient prompt caching.