Data Science & ML Agent Skills

LocalAI Inference Manager

Manages LocalAI services via Podman to provide OpenAI-compatible local model inference with full GPU acceleration.

Ollama REST API Integrator

Facilitates direct REST API operations for Ollama using Python to manage models and execute generation tasks.

Open WebUI Management

Manages Open WebUI instances via Podman to provide a browser-based chat interface for Ollama LLM models.

Adaptyv Protein Engineering

Automates protein testing and validation through a cloud laboratory platform for high-throughput protein design workflows.

Clinical Value Evaluator

Systematically assesses medical research proposals to quantify their impact on patient outcomes, clinical decision-making, and healthcare systems.

PyMC Bayesian Modeling

Builds and validates sophisticated Bayesian probabilistic models using the PyMC library for advanced statistical inference.

ML PRD Generator

Generates structured, evidence-driven Product Requirements Documents (PRDs) specifically tailored for Machine Learning workflows and experiments.

Gemini File Search & RAG Integration

Implements Google Gemini File Search to build managed RAG systems with automatic document chunking and semantic search.

OpenAI Agents SDK Integration

Builds robust AI applications using OpenAI's Agents SDK with multi-agent orchestration, voice capabilities, and advanced error prevention.

Vibe Agent Toolkit (VAT)

Builds and packages portable AI agents that operate across multiple LLM frameworks and deployment targets without vendor lock-in.

Memory System Design

Implements advanced memory architectures for AI agents to maintain session continuity and manage structured entity relationships.

Memory Systems Design

Implements sophisticated, multi-layered memory architectures including knowledge graphs and temporal persistence for autonomous AI agents.

Streamlit for Snowflake

Builds, configures, and deploys native Streamlit data applications directly within the Snowflake Data Cloud.

Advanced LLM Evaluation

Implements production-grade LLM-as-a-judge patterns to evaluate model outputs with high reliability and bias mitigation.

Advanced LLM Evaluation

Implements sophisticated LLM-as-judge methodologies to evaluate and compare AI model outputs with high reliability and bias mitigation.

DSPy.rb Expert

Builds type-safe, composable LLM applications in Ruby using the DSPy framework to program AI behavior instead of manual prompting.

Google Gemini Embeddings

Builds production-ready RAG systems and semantic search using optimized Gemini embedding-001 models and vector storage patterns.

Gemini Image Generator

Generates high-quality images from text prompts using Google Gemini 3 Pro via the fal.ai API.

IGV Integration

Automates IGV snapshot generation for visualizing genomic alignments and variant calls in BAM files.

COSMIC Cancer Gene Toolkit

Queries and annotates genomic data using the COSMIC Cancer Gene Census to identify known cancer genes and their clinical properties.

VCF Variant Analysis Toolkit

Analyzes, filters, and exports genomic variant data from VCF and BCF files for bioinformatics and sequencing workflows.

A2A Executor Patterns

Implements standardized Agent-to-Agent (A2A) protocol executors with production-ready patterns for task management and agent coordination.

BAM Alignment Toolkit

Analyzes genomic alignment files to extract reads, identify insertions and deletions, and calculate coverage statistics for WGS and WES data.

Local BLAT DNA Alignment

Performs high-speed local DNA sequence alignment against hg38 and CHM13 genomic references without external API dependencies.

NCBI BLAST Search

Performs NCBI BLAST sequence similarity searches using BioPython to identify homologous DNA or protein sequences.

Biological Sequence I/O

Reads, writes, and manipulates biological sequence data formats like FASTA, FASTQ, and GenBank.

Prompt Engineering Lab

Creates, optimizes, and debugs high-performing, production-ready prompts for Claude 4, GLM 4.7, and Gemini 3 using evidence-based techniques.

Hybrid Search Implementation

Combines vector similarity and keyword-based search to optimize retrieval accuracy in RAG systems and search engines.

Similarity Search Patterns

Implements high-performance similarity search and vector database patterns for semantic retrieval and RAG systems.

Prompt Engineering Patterns

Optimizes Large Language Model performance through advanced reasoning patterns, few-shot learning, and structured prompt templates.