Data Science & ML Agent Skills

Portfolio Optimization

16

Optimizes financial computations and portfolio risk metrics by implementing high-performance Python C extensions for large-scale numerical data.

Portfolio Optimization with C Extensions

16

Accelerates Python numerical computations by implementing performance-critical mathematical algorithms as high-speed C extensions.

Pysam Genomic Data Processing

15

Processes genomic datasets including alignment, variant, and sequence files using a Pythonic interface to htslib.

RAG System Architect

15

Architects production-grade Retrieval-Augmented Generation (RAG) systems and vector search infrastructures for knowledge-grounded AI applications.

Polars Data Processor

15

Accelerates data manipulation and analysis using the high-performance Polars DataFrame library and expression-based API.

Gemini Image Generation

15

Generates high-quality visual content from text descriptions and image references using the Gemini API.

GTars Genomic Analysis

15

Analyzes and processes genomic interval data using high-performance Rust-based tools and Python bindings.

Protein Modeling with ESM

15

Provides advanced protein language model capabilities for sequence generation, structure prediction, and functional design using ESM3 and ESM C.

Genomic Interval ML (Geniml)

15

Facilitates machine learning on genomic interval data, including embeddings for BED files and single-cell ATAC-seq analysis.

Aeon Time Series ML

15

Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using the specialized Aeon toolkit.

Model Interpretability with SHAP

15

Provides comprehensive guidance and implementation patterns for explaining machine learning model predictions using SHAP values.

Bioinformatics Toolkit (gget)

15

Accesses 20+ genomic databases for rapid bioinformatics queries, sequence analysis, and protein structure prediction.

Pymoo Optimization

15

Optimizes complex systems using multi-objective evolutionary algorithms and Pareto front analysis in Python.

PathML Computational Pathology

15

Automates computational pathology workflows by processing whole-slide images and multiparametric data for machine learning analysis.

Therapeutics Data Commons (PyTDC)

15

Provides AI-ready drug discovery datasets, standardized benchmarks, and molecular oracles for therapeutic machine learning.

OBO Ontology Editor

14

Simplifies the process of editing, querying, and managing OBO format ontologies through specialized scripts and standardized curation workflows.

Docling Document Parser

14

Parses and converts complex documents like PDFs, Word, and PowerPoint into structured, layout-aware data for AI and RAG pipelines.

DOSDP Design Patterns

14

Applies Dead Simple Ontology Design Patterns to ensure consistency in term creation, naming conventions, and logical definitions.

DOSDP Ontology Design Patterns

14

Ensures consistency in ontology term creation by applying Dead Simple Ontology Design Patterns (DOSDP) for standardized naming, definitions, and logical axioms.

Ontology Access Kit (OAK)

14

Provides advanced capabilities for querying, visualizing, and manipulating complex ontologies through the Ontology Access Kit (OAK).

PDF Processing Pro

14

Automates complex PDF workflows including form filling, table extraction, OCR, and batch operations with production-grade validation.

Excel Spreadsheet Management

14

Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.

Ontology Access Kit (OAK)

14

Enables complex ontology querying, mapping, and visualization using the Ontology Access Kit (OAK) library.

LangGraph Architecture Guide

14

Provides expert guidance on architectural patterns, state management, and multi-agent coordination for LangGraph applications.

Deep Agents Architecture Decisions

14

Guides architectural decisions for complex AI agent systems including subagent delegation, persistence strategies, and custom middleware.

PydanticAI Debugging & Best Practices

14

Identifies and fixes common implementation errors and architectural pitfalls when building PydanticAI agents.

PydanticAI Model Integration

14

Integrates and manages diverse LLM providers in PydanticAI with support for fallback models, streaming, and usage tracking.

PydanticAI Tool System

14

Simplifies the registration and implementation of PydanticAI tools with automated context handling and type-safe function calling.

LangGraph Implementation

14

Implements stateful agent graphs and multi-actor workflows using the LangGraph framework.

12-Factor Agent Architecture Analyzer

14

Audits and evaluates AI agent codebases for compliance with the 12-Factor Agents methodology to ensure production-grade reliability.