Data Science & ML Claudeスキル

Video Processing Pipeline

Automates video metadata extraction, thumbnail generation, web-optimized transcoding, and audio extraction with integrated DuckDB tracking.

PolicyEngine-US Tax & Benefit Analysis

Provides standardized patterns for modeling US federal and state tax and benefit systems using PolicyEngine-US microsimulations.

Self-Evolving AI Agent

Implements Darwin Gödel Machine patterns to create self-improving AI agents capable of open-ended evolution and lifelong learning.

DiscoPy Operads

Facilitates computational category theory and operadic composition for advanced AI modeling and string diagram manipulation.

Implicit Coordination

Facilitates high-performance multi-agent coordination through environmental stigmergy and trace-based state modification instead of message passing.

Map Projection & Geodesic Analysis

Analyzes and implements map projections using category theory and distortion metrics for precise geospatial transformations.

Multiversal Finance

Implements decentralized prediction markets for pattern discovery based on curiosity-driven compression progress metrics.

LLM Application Development

Streamlines the creation of AI-powered features through expert prompt engineering, RAG patterns, and multi-model API integrations.

DisCoPy String Diagram Framework

Computes and visualizes monoidal categories, quantum circuits, and natural language structures using string diagrams.

Incentive Prompting Optimizer

Optimizes AI outputs using research-backed prompting techniques to increase response quality and accuracy by up to 115%.

Incentive Prompting & AI Optimization

Enhances AI response quality by 45-115% using research-backed techniques like monetary framing, expert personas, and step-by-step reasoning.

Data Science & Sparsification

Implements L0 regularization and intelligent sampling techniques to optimize neural network sparsification and survey data calibration.

PolicyEngine Aggregation Patterns

Standardizes variable summation and entity aggregation within the PolicyEngine microsimulation framework.

ADK Core: Google Agent Development Kit

Bootstraps and configures intelligent AI agents using the Google Agent Development Kit (ADK) with support for multiple LLM providers.

Jupyter Notebook Assistant

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

Data Cleaning Pipeline Generator

Automates the creation of robust data cleaning and preprocessing pipelines for Python-based data science workflows.

Research Ethics & Compliance

Provides PhD-level guidance on research ethics, IRB compliance, and data privacy analysis for study protocols and algorithmic models.

Vector Field Dynamics

Models and analyzes dynamical systems by assigning vectors to points in phase space to define complex flows and trajectories.

Incentive-Based Prompt Engineering

Boosts AI response quality by up to 115% using research-backed techniques like persona assignment, stakes language, and step-by-step reasoning.

Human Metabolome Database Explorer

Accesses the Human Metabolome Database (HMDB) to retrieve detailed chemical properties, biomarker data, and spectral information for over 220,000 metabolites.

LLM Fundamentals & Architecture

Simplifies Large Language Model integration by providing expert guidance on transformer architecture, tokenization, and inference optimization.

LLM Evaluation Metrics

Measures and optimizes Large Language Model performance through systematic quality frameworks, benchmarks, and hallucination detection.

Fine-Tuning AI Models

Adapts and optimizes Large Language Models using LoRA, QLoRA, and instruction tuning for domain-specific applications.

Model Deployment

Deploys and optimizes large language models using production-grade frameworks like vLLM, TGI, and FastAPI.

RAG Systems Builder

Builds production-grade Retrieval Augmented Generation pipelines with vector search, hybrid retrieval, and advanced re-ranking strategies.

Vector Database Master

Optimizes vector storage and retrieval strategies for high-performance AI applications and semantic search.

Agent Frameworks & Orchestration

Develops autonomous AI agents and multi-agent systems using industry-standard frameworks like LangChain, CrewAI, and AutoGen.

Prompt Engineering Toolkit

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

Subgroup Analysis

Conducts detailed subgroup analyses to examine effect moderation, explore dataset heterogeneity, and identify differential outcomes across specific populations.

OpenAI Integration Specialist

Integrates sophisticated OpenAI API features including streaming chatbots, content generation, and rate-limited API routes for production-ready AI applications.