Data Science & ML Agent Skills

DNAnexus Integration

Integrates Claude with the DNAnexus cloud platform to develop, deploy, and manage genomics pipelines and biomedical data analyses.

LLM Provider Management

Manages multi-provider patterns and raw SDK access for OpenAI, Anthropic, Google Gemini, and Ollama.

AI Integration Patterns

Implements production-ready AI capabilities including prompt engineering, streaming responses, and cost-effective context management.

Data Visualization Techniques

Transforms complex datasets into clear, actionable visual narratives through optimized chart selection, dashboard design principles, and modern React charting libraries.

Agent Creator

Designs and builds custom agents, skill frameworks, and Model Context Protocol (MCP) integrations using specialized personas and expert knowledge patterns.

Prompt Engineering Patterns

Enhances LLM performance and reliability through advanced techniques like Chain-of-Thought, structured outputs, and few-shot learning.

Machine Learning Engineering

Builds production-grade machine learning pipelines and models using industry-standard libraries and engineering best practices.

Jupyter Notebook Assistant

Refactors, cleans, and optimizes Jupyter notebooks to improve code readability, maintainability, and reproducibility.

LangGraph Workflow Patterns

Architects sophisticated AI agent workflows using standardized LangGraph design patterns for complex state management.

OpenAlgo Technical Indicators

Performs sophisticated technical analysis and generates trading signals using TA-Lib and OpenAlgo market data.

Extended Reasoning & Thinking

Enables deep, multi-step chain-of-thought reasoning for complex problem-solving and logic verification within Claude.

Lumen AI Explorer

Enables natural language data exploration, automated SQL generation, and interactive visualization using agent-based AI.

Geospatial Visualization with GeoViews

Simplifies the creation of interactive maps and geographic data visualizations using GeoViews and GeoPandas.

COSMIC Cancer Database Access

Accesses and retrieves extensive cancer genomics data from the COSMIC database for bioinformatics and precision oncology research.

bioRxiv Scientific Database Search

Searches, filters, and retrieves life sciences preprints and metadata from the bioRxiv database for research and analysis.

Embedding Strategies

Optimizes vector embedding selection and text chunking strategies for production-grade RAG and semantic search applications.

Pymatgen Materials Analysis

Automates materials science analysis and computational chemistry workflows using the Pymatgen library.

RAG System Implementation

Builds sophisticated Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced document processing patterns.

Unwiring Arena

Models and simulates autopoietic systems using arena theory and GF(3) conservation rules for adaptive learning.

Hybrid Search Implementation

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

Context Engineering for AI Agents

Provides structured patterns and guidance for building high-performance, production-grade AI agent systems through advanced context management.

Multi-Agent Architecture Patterns

Guides the design and implementation of distributed agent systems to maximize context efficiency and task parallelization.

Patent Prior Art Search

Conducts systematic 7-step patent prior art searches and patentability assessments using BigQuery and CPC classifications.

Research Synthesis

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

Intelligent Research Orchestrator

Orchestrates specialized AI agents to conduct systematic, multi-disciplinary research and synthesis on complex topics.

GitHub Interactome Mapper

Maps contributor interaction networks across GitHub to discover shared boundaries between research and developer communities.

Critical Analysis & Research

Conducts rigorous evaluations of claims, evidence, and logical arguments to detect bias and validate research methodologies.

Nushell Data Processing

Enables high-performance data manipulation and analysis in Nushell using Polars DataFrames and LazyFrames.

Risk of Bias Assessment

Evaluates methodological quality and potential bias in research studies using standardized frameworks like RoB 2 and ROBINS-I.

Sensitivity Analysis

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