Data Science & ML Agent Skills

Matplotlib Visualization

Generates publication-quality charts and scientific visualizations using Python's foundational plotting library.

MD Trajectory Analysis

Analyzes and interprets molecular dynamics simulation trajectories using MDClaw CLI tools to evaluate structural stability and molecular interactions.

LangChain Architecture Pro

Architects sophisticated LLM applications using LangChain's agents, memory systems, and complex chain integration patterns.

ML Training Debugger

Diagnoses and resolves machine learning training failures like loss divergence and gradient issues through automated artifact analysis.

Gemini Real Adapter

Facilitates direct integration with the Google Gemini API for multi-modal content handling and context management within multi-model infrastructures.

Biopython Molecular Biology

Facilitates computational molecular biology tasks including sequence manipulation, NCBI database access, and structural bioinformatics analysis.

LangChain4j AI Services Patterns

Builds declarative, type-safe AI services in Java using LangChain4j interfaces, annotations, and memory management.

Schwab Market Data Snapshot

Synchronizes and caches comprehensive Charles Schwab market data, including account status, real-time quotes, and option chains for trading agents.

Scikit-Survival Analysis

Implements comprehensive survival analysis and time-to-event modeling workflows using the scikit-survival library.

Molecular Dynamics Simulation Runner

Executes production-grade molecular dynamics simulations using MDClaw and OpenMM with automated equilibration and HPC support.

MD Prepare: Molecular Dynamics Setup

Streamlines the end-to-end preparation of molecular dynamics simulations using MDClaw CLI tools.

Hugging Face Space Deployer

Deploys machine learning models to Hugging Face Spaces using optimized configurations for Gradio, ZeroGPU, and LoRA adapters.

Experiment Design Checklist

Generates rigorous experimental frameworks for scientific research and machine learning projects to ensure statistically significant and defensible results.

Functional Introspection Principle

Applies structured self-analysis and governance protocols to evaluate and validate AI decision-making processes.

Value Pluralism Resolver

Resolves conflicts between competing ethical and technical values through a structured pluralistic analysis framework.

Multi-Agent Orchestration

Implements advanced agentic patterns to prevent context saturation and optimize parallel execution within Claude Code environments.

ML Model Deployment

Deploy machine learning models into production environments using robust APIs, containerization, and MLOps workflows.

Data Wrangler

Transforms and analyzes large datasets using DuckDB SQL directly within the Claude Code environment.

Trading Agent Validation v4.3.0

Optimizes reinforcement learning agents by refining validation gates, disabling harmful entropy adjustments, and implementing cross-run memory.

RAG Chunking Strategy

Implements optimal document segmentation techniques to improve retrieval-augmented generation (RAG) performance and search accuracy.

Advanced Excel & Financial Modeling

Automates professional spreadsheet creation, data analysis, and financial modeling with rigorous formula integrity and industry-standard formatting.

Histolab Digital Pathology

Processes whole slide images (WSI) for digital pathology by automating tissue detection and tile extraction for machine learning pipelines.

AI Ethics & Fairness Validator

Audits machine learning models and datasets to identify biases and ensure ethical compliance through fairness metrics and mitigation strategies.

Clustering & Pattern Discovery

Discover hidden structures and anomalies in unlabeled data using advanced unsupervised learning algorithms and dimensionality reduction.

NLP Basics

Simplifies text analysis and processing using modern NLP techniques including embeddings, tokenization, and transformer models.

IRP Embodiment Framework

Connects Claude's cognitive orchestration to physical robotics and sensor systems using low-latency control and cryptographic integrity.

AI Product Engineering

Builds production-grade AI features using robust LLM integration patterns, prompt versioning, and cost-optimized RAG architectures.

Supervised Learning Model Builder

Builds, tunes, and evaluates production-ready classification and regression models using industry-standard machine learning algorithms.

Hugging Face Dataset Creator

Streamlines the creation, configuration, and management of diverse datasets on the Hugging Face Hub directly from your development environment.

Genome Analyzer

Analyzes genomic VCF files to provide personalized insights on health, metabolism, and genetic traits.