Data Science & ML Claude 技能

Experiment Design Coach

Guides the creation of rigorous, well-controlled experiments for machine learning and data science projects.

Hyperparameter Sweep

Systematically optimizes machine learning model performance by searching for the ideal hyperparameter configurations.

Live Training Monitor

Monitors machine learning training progress in real-time by integrating with logging backends and visualization tools.

Scaling Analysis & Law Investigation

Analyzes and predicts AI model performance by empirically testing relationships between model size, dataset volume, and compute budget.

Gemini AI CLI

Integrates Google's Gemini models directly into the terminal for one-shot Q&A, content generation, and text summarization.

Songsee Audio Visualization

Generates detailed spectrograms and multi-panel audio feature visualizations for technical analysis and documentation.

OpenAI Whisper CLI

Transcribes audio files into text and subtitles locally using OpenAI's Whisper models without requiring an API key.

Opus 4.6 Prompt Engineering

Optimizes and migrates prompts for Claude Opus 4.6's adaptive thinking, 1M context window, and advanced agentic architectures.

Prompt Engineering Master

Optimizes LLM interactions by implementing advanced prompt design techniques, reasoning patterns, and structured instructions for superior AI outputs.

Enterprise AI Strategy Frameworks

Provides strategic AI thinking models based on Satya Nadella’s platform shift principles to guide product positioning and enterprise deployment.

RDKit Cheminformatics

Performs advanced molecular modeling and cheminformatics tasks including descriptor calculation, fingerprinting, and substructure searching.

AI Startup & Product Framework (Heller)

Builds high-reliability AI startups using the Job-as-Market framework and rigorous 97%+ accuracy evaluation methodologies.

AI Startup Insights (Altman)

Provides strategic guidance and tactical frameworks for AI founders based on Sam Altman’s insights from OpenAI’s journey.

AI Scaling Laws Strategy

Provides strategic guidance on AI scaling laws, capability trajectories, and product positioning for frontier models.

Spatial Intelligence Knowledge Base

Provides expert insights on spatial intelligence, 3D world modeling, and AI research strategy based on Fei-Fei Li's YC talk.

Chollet AGI Framework

Analyzes and applies François Chollet’s theoretical framework for evaluating artificial general intelligence and fluid reasoning capabilities.

Robotics AI Learning Guide

Provides expert frameworks and research insights for building general-purpose robotics foundation models based on Physical Intelligence's methodology.

AI Scientific Discovery Framework

Builds high-impact AI systems for scientific research using architectural principles derived from DeepMind's AlphaFold.

Historical Data Integrity Validator

Audits historical data completeness and quality across date ranges to prevent downstream prediction corruption and feature degradation.

Benchling R&D Integration

Automates Benchling life sciences R&D operations including registry management, inventory tracking, and electronic lab notebook (ELN) documentation.

Scientific Schematics & Diagrams

Generates publication-quality scientific diagrams, neural network architectures, and technical flowcharts using specialized Python libraries.

LLM Evaluation Framework

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.

ML Experiment & SLURM Monitor

Monitors machine learning experiment progress, SLURM job queues, and model checkpoint status across distributed computing environments.

RAG Implementation

Implements Retrieval-Augmented Generation (RAG) systems with vector databases and semantic search to build grounded, knowledge-aware AI applications.

SAP Cloud SDK for AI

Integrates SAP AI Core and Generative AI Hub services into enterprise JavaScript and Java applications.

Data Visualization

Generates insightful, professional-grade charts and interactive dashboards using industry-standard libraries and design principles.

Multi-Agent Coordination Framework

Orchestrates complex multi-agent AI systems and human-AI teams using advanced communication patterns and consensus mechanisms.

SAP HANA Machine Learning (hana-ml)

Develops and deploys in-database machine learning models using the SAP HANA Python Client (hana-ml).

SAP AI Core & Generative AI Hub

Deploys and manages enterprise-grade AI/ML workloads on SAP Business Technology Platform using SAP AI Core and AI Launchpad.

Python Data Reviewer

Optimizes Pandas and NumPy code for high-performance data processing, memory efficiency, and vectorization.